## CS112 Final Project Notebook: Effect of empowerment of women on repoting crime rate
This is what I did in my Rstudio to get the dataset in csv :
dataset = load("tables1to5.RData")
dataset
# 'x'
final.data = x
head(final.data)
write.csv(final.data, "tables1to5.csv")
Then I upload it in github.
url = "https://raw.githubusercontent.com/mahmud-nobe/CS112-Final-Project/master/tables1to5.csv"
data = read.csv(url)
head(data)
X | year | stateuni | ipop | imale | pcr_prop | pcr_order | pcr_econ | pmurder | pcr_womtot | ⋯ | lpstrape | lpstpoa | lpstpcr | lparrest_womcrime | lparrest_rape | lparrest_womgirl | lparrest_nonwomen | lparrest_kidmen | lpmurder_m | lpmurder_f | |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
<int> | <int> | <fct> | <dbl> | <dbl> | <dbl> | <dbl> | <dbl> | <dbl> | <dbl> | ⋯ | <dbl> | <dbl> | <dbl> | <dbl> | <dbl> | <dbl> | <dbl> | <dbl> | <dbl> | <dbl> | |
1 | 1 | 1985 | ANDHRA PRADESH | 58733007 | 29755186 | 0.3701837 | 0.01159484 | 0.12194166 | 0.02943830 | 0.06718931 | ⋯ | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA |
2 | 2 | 1986 | ANDHRA PRADESH | 60028840 | 30416752 | 0.3218286 | 0.05244146 | 0.03141823 | 0.02663720 | 0.06629049 | ⋯ | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA |
3 | 3 | 1987 | ANDHRA PRADESH | 61324674 | 31078317 | 0.3477393 | 0.01025688 | 0.14506397 | 0.02868340 | 0.05174177 | ⋯ | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA |
4 | 4 | 1988 | ANDHRA PRADESH | 62620508 | 31739883 | 0.4270326 | 0.08220949 | 0.04052985 | 0.03265704 | 0.06434455 | ⋯ | NA | NA | NA | -2.295828 | -4.422112 | -4.599128 | -4.339221 | -5.081269 | NA | NA |
5 | 5 | 1989 | ANDHRA PRADESH | 63916341 | 32401449 | 0.4614939 | 0.08195087 | 0.04596633 | 0.03595325 | 0.07145828 | ⋯ | NA | NA | NA | -2.153817 | -4.284273 | -4.445257 | -4.302086 | -4.809580 | NA | NA |
6 | 6 | 1990 | ANDHRA PRADESH | 65212174 | 33063015 | 0.4658639 | 0.08265328 | 0.04235406 | 0.04003854 | 0.05710880 | ⋯ | NA | NA | NA | -2.437914 | -4.500610 | -4.538616 | -4.560318 | -4.442914 | NA | NA |
str(colnames(data))
chr [1:81] "X" "year" "stateuni" "ipop" "imale" "pcr_prop" "pcr_order" ...
data$newstateid<-as.character(data$stateid)
head(data$stateid)
head(data$newstateid)
summary(data$stateid)
summary(data$newstateid)
Length Class Mode 391 character character
#Creating a reservation year variable
data$year.res<-NULL
data$year.res[data$stateid == 'ANDHRA PRADESH']<-1995
data$year.res[data$stateid == 'ASSAM']<-2002
data$year.res[data$stateid == 'BIHAR']<-2001
data$year.res[data$stateid == 'GUJARAT']<-1995
data$year.res[data$stateid == 'HARYANA']<-1995
data$year.res[data$stateid == 'HIMACHAL PRADESH']<-1995
data$year.res[data$stateid == 'JAMMU & KASHMIR']<-2001
data$year.res[data$stateid == 'KARNATAKA']<-1987
data$year.res[data$stateid == 'KERALA']<-1991
data$year.res[data$stateid == 'MADHYA PRADESH']<-1994
data$year.res[data$stateid == 'MAHARASHTRA']<-1992
data$year.res[data$stateid == 'ORISSA']<-1992
data$year.res[data$stateid == 'PUNJAB']<-1994
data$year.res[data$stateid == 'RAJASTHAN']<-1995
data$year.res[data$stateid == 'TAMIL NADU']<-1996
data$year.res[data$stateid == 'UTTAR PRADESH']<-2006
data$year.res[data$stateid == 'WEST BENGAL']<-1993
data$treat <- NULL
data$treat <- as.integer(data$year >= data$year.res)
data$state <- as.integer(data$stateid)
#Subsetting data to years post-1994 and reservation post-1994
after.data <- data[which(data$year.res>=1995),]
after.data <- after.data[which(after.data$year>=1995),]
# View(better.data)
head(after.data)
X | year | stateuni | ipop | imale | pcr_prop | pcr_order | pcr_econ | pmurder | pcr_womtot | ⋯ | lparrest_rape | lparrest_womgirl | lparrest_nonwomen | lparrest_kidmen | lpmurder_m | lpmurder_f | newstateid | year.res | treat | state | |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
<int> | <int> | <fct> | <dbl> | <dbl> | <dbl> | <dbl> | <dbl> | <dbl> | <dbl> | ⋯ | <dbl> | <dbl> | <dbl> | <dbl> | <dbl> | <dbl> | <chr> | <dbl> | <int> | <int> | |
11 | 11 | 1995 | ANDHRA PRADESH | 70388808 | 35645714 | 0.3257336 | 0.08722978 | 0.04314606 | 0.03511922 | 0.2424079 | ⋯ | -4.185441 | -4.740167 | -4.340173 | -4.385282 | NA | NA | ANDHRA PRADESH | 1995 | 1 | 1 |
12 | 12 | 1996 | ANDHRA PRADESH | 71359008 | 36125997 | 0.3057217 | 0.07088103 | 0.04721198 | 0.03656161 | 0.2523769 | ⋯ | -4.191689 | -4.060709 | -4.282272 | -4.906383 | NA | NA | ANDHRA PRADESH | 1995 | 1 | 1 |
13 | 13 | 1997 | ANDHRA PRADESH | 72329207 | 36606280 | 0.3230230 | 0.06644619 | 0.06015550 | 0.03970733 | 0.2805201 | ⋯ | -3.962047 | -4.418194 | -4.405653 | -4.719733 | NA | NA | ANDHRA PRADESH | 1995 | 1 | 1 |
14 | 14 | 1998 | ANDHRA PRADESH | 73299407 | 37086563 | 0.3350914 | 0.07862274 | 0.06476178 | 0.04054603 | 0.2887097 | ⋯ | -4.166159 | -4.553323 | -5.081213 | -4.785575 | NA | NA | ANDHRA PRADESH | 1995 | 1 | 1 |
15 | 15 | 1999 | ANDHRA PRADESH | 74269607 | 37566847 | 0.3073532 | 0.05264603 | 0.07184635 | 0.03650214 | 0.3282587 | ⋯ | -4.060061 | -4.375981 | -4.902295 | -4.361103 | -2.87896 | -3.994414 | ANDHRA PRADESH | 1995 | 1 | 1 |
16 | 16 | 2000 | ANDHRA PRADESH | 75239807 | 38047130 | 0.3260641 | 0.04444456 | 0.07518627 | 0.03593842 | 0.3652063 | ⋯ | -4.099138 | -4.536352 | -4.708059 | -4.693194 | NA | NA | ANDHRA PRADESH | 1995 | 1 | 1 |
#Subsetting data to years pre-1994 and reservation pre-1994
before.data <- data[which(data$year.res<1995),]
before.data <- before.data[which(before.data$year<1995),]
# View(better.data)
head(before.data)
X | year | stateuni | ipop | imale | pcr_prop | pcr_order | pcr_econ | pmurder | pcr_womtot | ⋯ | lparrest_rape | lparrest_womgirl | lparrest_nonwomen | lparrest_kidmen | lpmurder_m | lpmurder_f | newstateid | year.res | treat | state | |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
<int> | <int> | <fct> | <dbl> | <dbl> | <dbl> | <dbl> | <dbl> | <dbl> | <dbl> | ⋯ | <dbl> | <dbl> | <dbl> | <dbl> | <dbl> | <dbl> | <chr> | <dbl> | <int> | <int> | |
162 | 162 | 1985 | KARNATAKA | 40272309 | 20534343 | 0.6110650 | 0.1448390 | 0.07300302 | 0.02515376 | 0.11753997 | ⋯ | NA | NA | NA | NA | NA | NA | KARNATAKA | 1987 | 0 | 8 |
163 | 163 | 1986 | KARNATAKA | 41056458 | 20937272 | 0.5563802 | 0.1464082 | 0.06396071 | 0.02601296 | 0.09900998 | ⋯ | NA | NA | NA | NA | NA | NA | KARNATAKA | 1987 | 0 | 8 |
164 | 164 | 1987 | KARNATAKA | 41840606 | 21340201 | 0.5894035 | 0.1856570 | 0.06644263 | 0.02650535 | 0.08170570 | ⋯ | NA | NA | NA | NA | NA | NA | KARNATAKA | 1987 | 1 | 8 |
165 | 165 | 1988 | KARNATAKA | 42624755 | 21743130 | 0.5734696 | 0.1559188 | 0.06737868 | 0.02981835 | 0.14668399 | ⋯ | -5.043419 | -4.605751 | -4.734059 | -6.768370 | NA | NA | KARNATAKA | 1987 | 1 | 8 |
166 | 166 | 1989 | KARNATAKA | 43408904 | 22146059 | 0.5705742 | 0.1552216 | 0.07337204 | 0.02796661 | 0.14932151 | ⋯ | -5.076301 | -4.694484 | -4.408559 | -5.818607 | NA | NA | KARNATAKA | 1987 | 1 | 8 |
167 | 167 | 1990 | KARNATAKA | 44193052 | 22548988 | 0.6182420 | 0.1819064 | 0.07483077 | 0.03045728 | 0.12640879 | ⋯ | -5.166894 | -5.086851 | -4.320787 | -5.754681 | NA | NA | KARNATAKA | 1987 | 1 | 8 |
## Outcome Variable
# pcr_womtat:Percent of total crime against women
## Treatment Variable
# treat : 0 if the year is before the law passed in the state, 1 otherwise
## Control Variables to Match on
# newstateid: State Name
# pcgsdp : GDP per capita
# pfemale : Female-male Ratio
# plit : Percent of Literacy
# pwlit : Prcent of Women's Literacy
# prural : Percent of rural
dim(data)
dim(after.data)
dim(before.data)
summary(as.factor(data$treat))
summary(as.factor(after.data$treat))
summary(as.factor(before.data$treat))
#install.packages('ggplot2')
require('ggplot2')
############
# Figure 2 #
############
data$res<-"Post"
data$res[data$postwres==0]<-"Pre"
p<-ggplot(data, aes(y=pcr_womtot, x=year, group=newstateid, colour = factor(res))) +
geom_point() +facet_wrap( ~ newstateid, ncol = 3) +geom_vline(xintercept = 1993) +
xlab("Year")+ ylab("Total Crimes against women per 1000 women") +
scale_colour_discrete(name = "Reservation Implementation")+theme(legend.position="bottom")
print(p)
# these two packages are necessary to run the next lines of code
install.packages("sandwich")
library(sandwich)
install.packages("lmtest")
library(lmtest)
Installing package into ‘/usr/local/lib/R/site-library’ (as ‘lib’ is unspecified) also installing the dependency ‘zoo’ Installing package into ‘/usr/local/lib/R/site-library’ (as ‘lib’ is unspecified) Loading required package: zoo Attaching package: ‘zoo’ The following objects are masked from ‘package:base’: as.Date, as.Date.numeric
# define clustered standard errors function
cl <- function(dat,fm, cluster) {
require(sandwich, quietly = TRUE)
require(lmtest, quietly = TRUE)
M <- length(unique(cluster))
N <- length(cluster)
K <- fm$rank
dfc <- (M/(M-1))*((N-1)/(N-K))
uj <- apply(estfun(fm),2, function(x) tapply(x, cluster, sum))
vcovCL <- dfc*sandwich(fm, meat=crossprod(uj)/N)
return(list(coeftest(fm, vcovCL), n=round(length(fm$fitted.values),0), rsq=round(summary(fm)$r.squared,2)))
}
##################################################################
##TABLE 1
#Analysis of the data in Iyer et al. on and after 1995 in states where the reservation policy was implemented in 1995 and after
#Subsetting data to years post-1994 and reservation post-1994
better.data <- data[which(data$year.res>=1995),]
better.data <- data[which(better.data$year>=1995),]
# View(better.data)
head(better.data)
X | year | stateuni | ipop | imale | pcr_prop | pcr_order | pcr_econ | pmurder | pcr_womtot | ⋯ | lparrest_womgirl | lparrest_nonwomen | lparrest_kidmen | lpmurder_m | lpmurder_f | newstateid | year.res | treat | state | res | |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
<int> | <int> | <chr> | <dbl> | <dbl> | <dbl> | <dbl> | <dbl> | <dbl> | <dbl> | ⋯ | <dbl> | <dbl> | <dbl> | <dbl> | <dbl> | <chr> | <dbl> | <int> | <dbl> | <chr> | |
11 | 11 | 1995 | ANDHRA PRADESH | 70388808 | 35645714 | 0.3257336 | 0.08722978 | 0.04314606 | 0.03511922 | 0.2424079 | ⋯ | -4.740167 | -4.340173 | -4.385282 | NA | NA | ANDHRA PRADESH | 1995 | 1 | 1 | Post |
12 | 12 | 1996 | ANDHRA PRADESH | 71359008 | 36125997 | 0.3057217 | 0.07088103 | 0.04721198 | 0.03656161 | 0.2523769 | ⋯ | -4.060709 | -4.282272 | -4.906383 | NA | NA | ANDHRA PRADESH | 1995 | 1 | 1 | Post |
13 | 13 | 1997 | ANDHRA PRADESH | 72329207 | 36606280 | 0.3230230 | 0.06644619 | 0.06015550 | 0.03970733 | 0.2805201 | ⋯ | -4.418194 | -4.405653 | -4.719733 | NA | NA | ANDHRA PRADESH | 1995 | 1 | 1 | Post |
14 | 14 | 1998 | ANDHRA PRADESH | 73299407 | 37086563 | 0.3350914 | 0.07862274 | 0.06476178 | 0.04054603 | 0.2887097 | ⋯ | -4.553323 | -5.081213 | -4.785575 | NA | NA | ANDHRA PRADESH | 1995 | 1 | 1 | Post |
15 | 15 | 1999 | ANDHRA PRADESH | 74269607 | 37566847 | 0.3073532 | 0.05264603 | 0.07184635 | 0.03650214 | 0.3282587 | ⋯ | -4.375981 | -4.902295 | -4.361103 | -2.87896 | -3.994414 | ANDHRA PRADESH | 1995 | 1 | 1 | Post |
16 | 16 | 2000 | ANDHRA PRADESH | 75239807 | 38047130 | 0.3260641 | 0.04444456 | 0.07518627 | 0.03593842 | 0.3652063 | ⋯ | -4.536352 | -4.708059 | -4.693194 | NA | NA | ANDHRA PRADESH | 1995 | 1 | 1 | Post |
#Running the initial model with post-1995 data, column 1
better.data$newstateid<-as.character(better.data$stateid)
new.column1<-lm(better.data$lpcr_womtot ~ better.data$postwres + factor(better.data$year) + factor(better.data$newstateid), subset=(better.data$majstate==1))
summary(new.column1)
Call: lm(formula = better.data$lpcr_womtot ~ better.data$postwres + factor(better.data$year) + factor(better.data$newstateid), subset = (better.data$majstate == 1)) Residuals: Min 1Q Median 3Q Max -1.91519 -0.08505 0.00088 0.10176 0.69992 Coefficients: Estimate Std. Error t value (Intercept) -1.75246 0.13425 -13.054 better.data$postwres 0.20821 0.09751 2.135 factor(better.data$year)1996 0.38270 0.11513 3.324 factor(better.data$year)1997 0.49516 0.11513 4.301 factor(better.data$year)1998 0.56664 0.11513 4.922 factor(better.data$year)1999 0.58801 0.11513 5.107 factor(better.data$year)2000 0.60838 0.11513 5.284 factor(better.data$year)2001 0.62751 0.11677 5.374 factor(better.data$year)2002 0.69596 0.11879 5.859 factor(better.data$year)2003 0.64287 0.11879 5.412 factor(better.data$year)2004 0.69375 0.11879 5.840 factor(better.data$year)2005 0.67132 0.11879 5.652 factor(better.data$year)2006 0.73013 0.11879 6.147 factor(better.data$year)2007 0.79735 0.11879 6.713 factor(better.data$newstateid)ASSAM -0.33524 0.11381 -2.946 factor(better.data$newstateid)BIHAR -1.08180 0.11055 -9.786 factor(better.data$newstateid)GUJARAT -0.77246 0.10097 -7.650 factor(better.data$newstateid)HARYANA -0.18966 0.10097 -1.878 factor(better.data$newstateid)HIMACHAL PRADESH -0.47336 0.10097 -4.688 factor(better.data$newstateid)JAMMU & KASHMIR -0.33610 0.11055 -3.040 factor(better.data$newstateid)KARNATAKA -0.57365 0.10097 -5.681 factor(better.data$newstateid)KERALA -0.23843 0.10097 -2.361 factor(better.data$newstateid)MADHYA PRADESH 0.12182 0.10097 1.206 Pr(>|t|) (Intercept) < 2e-16 *** better.data$postwres 0.03503 * factor(better.data$year)1996 0.00122 ** factor(better.data$year)1997 3.77e-05 *** factor(better.data$year)1998 3.13e-06 *** factor(better.data$year)1999 1.43e-06 *** factor(better.data$year)2000 6.70e-07 *** factor(better.data$year)2001 4.54e-07 *** factor(better.data$year)2002 5.21e-08 *** factor(better.data$year)2003 3.84e-07 *** factor(better.data$year)2004 5.67e-08 *** factor(better.data$year)2005 1.33e-07 *** factor(better.data$year)2006 1.38e-08 *** factor(better.data$year)2007 9.46e-10 *** factor(better.data$newstateid)ASSAM 0.00396 ** factor(better.data$newstateid)BIHAR < 2e-16 *** factor(better.data$newstateid)GUJARAT 9.29e-12 *** factor(better.data$newstateid)HARYANA 0.06305 . factor(better.data$newstateid)HIMACHAL PRADESH 8.18e-06 *** factor(better.data$newstateid)JAMMU & KASHMIR 0.00297 ** factor(better.data$newstateid)KARNATAKA 1.16e-07 *** factor(better.data$newstateid)KERALA 0.02002 * factor(better.data$newstateid)MADHYA PRADESH 0.23029 --- Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1 Residual standard error: 0.2574 on 107 degrees of freedom Multiple R-squared: 0.7646, Adjusted R-squared: 0.7162 F-statistic: 15.8 on 22 and 107 DF, p-value: < 2.2e-16
column1.cl<- cl(better.data, new.column1, better.data$newstateid)
column1.cl
[[1]] t test of coefficients: Estimate Std. Error (Intercept) -1.7525e+00 2.1831e-01 better.data$postwres 2.0821e-01 1.1064e-01 factor(better.data$year)1996 3.8270e-01 2.7883e-01 factor(better.data$year)1997 4.9516e-01 2.8622e-01 factor(better.data$year)1998 5.6664e-01 2.9932e-01 factor(better.data$year)1999 5.8801e-01 2.9469e-01 factor(better.data$year)2000 6.0838e-01 2.8010e-01 factor(better.data$year)2001 6.2751e-01 2.8098e-01 factor(better.data$year)2002 6.9596e-01 2.7692e-01 factor(better.data$year)2003 6.4287e-01 2.9687e-01 factor(better.data$year)2004 6.9375e-01 3.0588e-01 factor(better.data$year)2005 6.7132e-01 3.0401e-01 factor(better.data$year)2006 7.3013e-01 3.2049e-01 factor(better.data$year)2007 7.9735e-01 3.2009e-01 factor(better.data$newstateid)ASSAM -3.3524e-01 5.9576e-02 factor(better.data$newstateid)BIHAR -1.0818e+00 5.1065e-02 factor(better.data$newstateid)GUJARAT -7.7246e-01 1.2504e-16 factor(better.data$newstateid)HARYANA -1.8966e-01 1.3999e-16 factor(better.data$newstateid)HIMACHAL PRADESH -4.7336e-01 1.3638e-16 factor(better.data$newstateid)JAMMU & KASHMIR -3.3610e-01 5.1065e-02 factor(better.data$newstateid)KARNATAKA -5.7365e-01 1.3589e-16 factor(better.data$newstateid)KERALA -2.3843e-01 1.3681e-16 factor(better.data$newstateid)MADHYA PRADESH 1.2182e-01 1.2705e-16 t value Pr(>|t|) (Intercept) -8.0275e+00 1.378e-12 *** better.data$postwres 1.8819e+00 0.06257 . factor(better.data$year)1996 1.3725e+00 0.17276 factor(better.data$year)1997 1.7300e+00 0.08651 . factor(better.data$year)1998 1.8931e+00 0.06105 . factor(better.data$year)1999 1.9954e+00 0.04855 * factor(better.data$year)2000 2.1720e+00 0.03206 * factor(better.data$year)2001 2.2333e+00 0.02761 * factor(better.data$year)2002 2.5132e+00 0.01345 * factor(better.data$year)2003 2.1655e+00 0.03257 * factor(better.data$year)2004 2.2681e+00 0.02533 * factor(better.data$year)2005 2.2083e+00 0.02936 * factor(better.data$year)2006 2.2782e+00 0.02470 * factor(better.data$year)2007 2.4910e+00 0.01427 * factor(better.data$newstateid)ASSAM -5.6272e+00 1.483e-07 *** factor(better.data$newstateid)BIHAR -2.1185e+01 < 2.2e-16 *** factor(better.data$newstateid)GUJARAT -6.1777e+15 < 2.2e-16 *** factor(better.data$newstateid)HARYANA -1.3549e+15 < 2.2e-16 *** factor(better.data$newstateid)HIMACHAL PRADESH -3.4710e+15 < 2.2e-16 *** factor(better.data$newstateid)JAMMU & KASHMIR -6.5818e+00 1.773e-09 *** factor(better.data$newstateid)KARNATAKA -4.2215e+15 < 2.2e-16 *** factor(better.data$newstateid)KERALA -1.7427e+15 < 2.2e-16 *** factor(better.data$newstateid)MADHYA PRADESH 9.5886e+14 < 2.2e-16 *** --- Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1 $n [1] 130 $rsq [1] 0.76
#Running the initial model with post-1995 data, column 6
better.data$newstateid<-as.character(better.data$stateid)
new.total.crimes<-lm(better.data$lpcr_womtot ~ better.data$postwres + better.data$newstateid:better.data$year + better.data$pfemale + better.data$prural + better.data$plit + better.data$pfarm + better.data$womancm + better.data$pcgsdp + better.data$ppol_strengt +
factor(better.data$year) + factor(better.data$newstateid), subset=(better.data$year>=1985 & better.data$majstate==1))
summary(new.total.crimes)
Call: lm(formula = better.data$lpcr_womtot ~ better.data$postwres + better.data$newstateid:better.data$year + better.data$pfemale + better.data$prural + better.data$plit + better.data$pfarm + better.data$womancm + better.data$pcgsdp + better.data$ppol_strengt + factor(better.data$year) + factor(better.data$newstateid), subset = (better.data$year >= 1985 & better.data$majstate == 1)) Residuals: Min 1Q Median 3Q Max -1.05213 -0.09026 -0.00074 0.07835 0.65888 Coefficients: (1 not defined because of singularities) Estimate Std. Error (Intercept) 1402.59546 394.19170 better.data$postwres -0.04511 0.16137 better.data$pfemale -925.37030 199.53770 better.data$prural -103.07092 91.62905 better.data$plit -154.68056 38.33032 better.data$pfarm -368.73463 125.55800 better.data$womancm 0.10381 0.13282 better.data$pcgsdp 1.08961 0.34508 better.data$ppol_strengt -0.02230 0.08910 factor(better.data$year)1996 0.78392 0.51814 factor(better.data$year)1997 1.36218 1.00877 factor(better.data$year)1998 1.85387 1.48980 factor(better.data$year)1999 2.33152 1.95761 factor(better.data$year)2000 2.82645 2.41332 factor(better.data$year)2001 3.35930 2.86016 factor(better.data$year)2002 3.87345 3.29167 factor(better.data$year)2003 4.22034 3.71064 factor(better.data$year)2004 4.65562 4.11573 factor(better.data$year)2005 5.02753 4.51801 factor(better.data$year)2006 5.45279 4.91004 factor(better.data$year)2007 5.87489 5.28973 factor(better.data$newstateid)ASSAM 881.22589 524.69170 factor(better.data$newstateid)BIHAR 121.23641 402.29880 factor(better.data$newstateid)GUJARAT 3691.56500 762.45487 factor(better.data$newstateid)HARYANA 1056.97989 747.89419 factor(better.data$newstateid)HIMACHAL PRADESH 1678.79433 403.66560 factor(better.data$newstateid)JAMMU & KASHMIR 556.43231 606.58089 factor(better.data$newstateid)KARNATAKA 1152.50512 546.99557 factor(better.data$newstateid)KERALA 289.60837 706.18029 factor(better.data$newstateid)MADHYA PRADESH -301.43522 232.36055 better.data$newstateidANDHRA PRADESH:better.data$year -0.13220 0.11251 better.data$newstateidASSAM:better.data$year -0.60376 0.26451 better.data$newstateidBIHAR:better.data$year -0.22972 0.19414 better.data$newstateidGUJARAT:better.data$year -2.01779 0.39686 better.data$newstateidHARYANA:better.data$year -0.72937 0.29355 better.data$newstateidHIMACHAL PRADESH:better.data$year -0.96387 0.21265 better.data$newstateidJAMMU & KASHMIR:better.data$year -0.47512 0.24249 better.data$newstateidKARNATAKA:better.data$year -0.72089 0.22959 better.data$newstateidKERALA:better.data$year -0.25040 0.35292 better.data$newstateidMADHYA PRADESH:better.data$year NA NA t value Pr(>|t|) (Intercept) 3.558 0.000596 *** better.data$postwres -0.280 0.780482 better.data$pfemale -4.638 1.18e-05 *** better.data$prural -1.125 0.263602 better.data$plit -4.035 0.000113 *** better.data$pfarm -2.937 0.004200 ** better.data$womancm 0.782 0.436497 better.data$pcgsdp 3.158 0.002159 ** better.data$ppol_strengt -0.250 0.802919 factor(better.data$year)1996 1.513 0.133762 factor(better.data$year)1997 1.350 0.180258 factor(better.data$year)1998 1.244 0.216557 factor(better.data$year)1999 1.191 0.236751 factor(better.data$year)2000 1.171 0.244581 factor(better.data$year)2001 1.175 0.243252 factor(better.data$year)2002 1.177 0.242367 factor(better.data$year)2003 1.137 0.258373 factor(better.data$year)2004 1.131 0.260953 factor(better.data$year)2005 1.113 0.268736 factor(better.data$year)2006 1.111 0.269693 factor(better.data$year)2007 1.111 0.269658 factor(better.data$newstateid)ASSAM 1.680 0.096483 . factor(better.data$newstateid)BIHAR 0.301 0.763828 factor(better.data$newstateid)GUJARAT 4.842 5.24e-06 *** factor(better.data$newstateid)HARYANA 1.413 0.160987 factor(better.data$newstateid)HIMACHAL PRADESH 4.159 7.23e-05 *** factor(better.data$newstateid)JAMMU & KASHMIR 0.917 0.361397 factor(better.data$newstateid)KARNATAKA 2.107 0.037871 * factor(better.data$newstateid)KERALA 0.410 0.682693 factor(better.data$newstateid)MADHYA PRADESH -1.297 0.197816 better.data$newstateidANDHRA PRADESH:better.data$year -1.175 0.243051 better.data$newstateidASSAM:better.data$year -2.283 0.024784 * better.data$newstateidBIHAR:better.data$year -1.183 0.239780 better.data$newstateidGUJARAT:better.data$year -5.084 1.96e-06 *** better.data$newstateidHARYANA:better.data$year -2.485 0.014797 * better.data$newstateidHIMACHAL PRADESH:better.data$year -4.533 1.77e-05 *** better.data$newstateidJAMMU & KASHMIR:better.data$year -1.959 0.053139 . better.data$newstateidKARNATAKA:better.data$year -3.140 0.002280 ** better.data$newstateidKERALA:better.data$year -0.709 0.479829 better.data$newstateidMADHYA PRADESH:better.data$year NA NA --- Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1 Residual standard error: 0.2013 on 91 degrees of freedom Multiple R-squared: 0.8776, Adjusted R-squared: 0.8265 F-statistic: 17.18 on 38 and 91 DF, p-value: < 2.2e-16
column2.cl<- cl(better.data, new.total.crimes, better.data$newstateid)
column2.cl
[[1]] t test of coefficients: Estimate Std. Error (Intercept) 1402.595459 878.371843 better.data$postwres -0.045107 0.109138 better.data$pfemale -925.370299 483.936102 better.data$prural -103.070923 191.481139 better.data$plit -154.680564 87.696643 better.data$pfarm -368.734630 250.140219 better.data$womancm 0.103807 0.119418 better.data$pcgsdp 1.089607 1.016926 better.data$ppol_strengt -0.022301 0.079896 factor(better.data$year)1996 0.783919 0.841481 factor(better.data$year)1997 1.362176 1.619231 factor(better.data$year)1998 1.853869 2.364886 factor(better.data$year)1999 2.331517 3.072889 factor(better.data$year)2000 2.826450 3.775966 factor(better.data$year)2001 3.359302 4.457001 factor(better.data$year)2002 3.873448 5.088305 factor(better.data$year)2003 4.220339 5.755277 factor(better.data$year)2004 4.655625 6.394183 factor(better.data$year)2005 5.027526 7.022628 factor(better.data$year)2006 5.452792 7.639588 factor(better.data$year)2007 5.874888 8.221773 factor(better.data$newstateid)ASSAM 881.225888 1103.350707 factor(better.data$newstateid)BIHAR 121.236406 739.060190 factor(better.data$newstateid)GUJARAT 3691.564999 1919.604408 factor(better.data$newstateid)HARYANA 1056.979886 1240.729137 factor(better.data$newstateid)HIMACHAL PRADESH 1678.794334 810.658962 factor(better.data$newstateid)JAMMU & KASHMIR 556.432309 902.648720 factor(better.data$newstateid)KARNATAKA 1152.505120 1123.226758 factor(better.data$newstateid)KERALA 289.608366 1308.160362 factor(better.data$newstateid)MADHYA PRADESH -301.435218 383.634395 better.data$newstateidANDHRA PRADESH:better.data$year -0.132204 0.182955 better.data$newstateidASSAM:better.data$year -0.603763 0.561789 better.data$newstateidBIHAR:better.data$year -0.229721 0.327434 better.data$newstateidGUJARAT:better.data$year -2.017794 1.056857 better.data$newstateidHARYANA:better.data$year -0.729374 0.584778 better.data$newstateidHIMACHAL PRADESH:better.data$year -0.963872 0.496586 better.data$newstateidJAMMU & KASHMIR:better.data$year -0.475116 0.396343 better.data$newstateidKARNATAKA:better.data$year -0.720891 0.548655 better.data$newstateidKERALA:better.data$year -0.250397 0.626894 t value Pr(>|t|) (Intercept) 1.5968 0.11377 better.data$postwres -0.4133 0.68036 better.data$pfemale -1.9122 0.05900 . better.data$prural -0.5383 0.59170 better.data$plit -1.7638 0.08112 . better.data$pfarm -1.4741 0.14390 better.data$womancm 0.8693 0.38698 better.data$pcgsdp 1.0715 0.28679 better.data$ppol_strengt -0.2791 0.78078 factor(better.data$year)1996 0.9316 0.35401 factor(better.data$year)1997 0.8412 0.40241 factor(better.data$year)1998 0.7839 0.43513 factor(better.data$year)1999 0.7587 0.44997 factor(better.data$year)2000 0.7485 0.45607 factor(better.data$year)2001 0.7537 0.45297 factor(better.data$year)2002 0.7612 0.44848 factor(better.data$year)2003 0.7333 0.46526 factor(better.data$year)2004 0.7281 0.46842 factor(better.data$year)2005 0.7159 0.47588 factor(better.data$year)2006 0.7138 0.47721 factor(better.data$year)2007 0.7146 0.47671 factor(better.data$newstateid)ASSAM 0.7987 0.42655 factor(better.data$newstateid)BIHAR 0.1640 0.87006 factor(better.data$newstateid)GUJARAT 1.9231 0.05760 . factor(better.data$newstateid)HARYANA 0.8519 0.39650 factor(better.data$newstateid)HIMACHAL PRADESH 2.0709 0.04120 * factor(better.data$newstateid)JAMMU & KASHMIR 0.6164 0.53914 factor(better.data$newstateid)KARNATAKA 1.0261 0.30758 factor(better.data$newstateid)KERALA 0.2214 0.82529 factor(better.data$newstateid)MADHYA PRADESH -0.7857 0.43406 better.data$newstateidANDHRA PRADESH:better.data$year -0.7226 0.47178 better.data$newstateidASSAM:better.data$year -1.0747 0.28534 better.data$newstateidBIHAR:better.data$year -0.7016 0.48473 better.data$newstateidGUJARAT:better.data$year -1.9092 0.05938 . better.data$newstateidHARYANA:better.data$year -1.2473 0.21550 better.data$newstateidHIMACHAL PRADESH:better.data$year -1.9410 0.05535 . better.data$newstateidJAMMU & KASHMIR:better.data$year -1.1988 0.23374 better.data$newstateidKARNATAKA:better.data$year -1.3139 0.19217 better.data$newstateidKERALA:better.data$year -0.3994 0.69052 --- Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1 $n [1] 130 $rsq [1] 0.88
#Table 3 column 1 code for total crimes against women in Iyer
model1w<-lm(data$lpcr_womtot ~ data$postwres +
factor(data$year) + factor(data$newstateid), subset=(data$year>=1985 & data$majstate==1))
summary(model1w)
Call: lm(formula = data$lpcr_womtot ~ data$postwres + factor(data$year) + factor(data$newstateid), subset = (data$year >= 1985 & data$majstate == 1)) Residuals: Min 1Q Median 3Q Max -2.82621 -0.21707 0.00651 0.25783 1.56950 Coefficients: Estimate Std. Error t value Pr(>|t|) (Intercept) -3.14521 0.15331 -20.515 < 2e-16 data$postwres 0.36511 0.09573 3.814 0.000162 factor(data$year)1986 0.15913 0.16649 0.956 0.339817 factor(data$year)1987 0.12377 0.16658 0.743 0.457995 factor(data$year)1988 0.27887 0.16658 1.674 0.095012 factor(data$year)1989 0.36170 0.16658 2.171 0.030579 factor(data$year)1990 0.30469 0.16658 1.829 0.068237 factor(data$year)1991 0.25821 0.16687 1.547 0.122674 factor(data$year)1992 0.28438 0.16800 1.693 0.091402 factor(data$year)1993 0.32019 0.16885 1.896 0.058747 factor(data$year)1994 0.27934 0.17109 1.633 0.103431 factor(data$year)1995 1.47607 0.17968 8.215 4.12e-15 factor(data$year)1996 1.72608 0.18187 9.491 < 2e-16 factor(data$year)1997 1.78819 0.18187 9.832 < 2e-16 factor(data$year)1998 1.87549 0.18187 10.312 < 2e-16 factor(data$year)1999 1.90626 0.18187 10.481 < 2e-16 factor(data$year)2000 1.94920 0.18187 10.717 < 2e-16 factor(data$year)2001 1.92627 0.18669 10.318 < 2e-16 factor(data$year)2002 1.91942 0.18930 10.139 < 2e-16 factor(data$year)2003 1.88723 0.18930 9.969 < 2e-16 factor(data$year)2004 1.93699 0.18930 10.232 < 2e-16 factor(data$year)2005 1.92218 0.18930 10.154 < 2e-16 factor(data$year)2006 1.94353 0.19205 10.120 < 2e-16 factor(data$year)2007 2.03515 0.19205 10.597 < 2e-16 factor(data$newstateid)ASSAM -0.22726 0.14607 -1.556 0.120645 factor(data$newstateid)BIHAR -0.81945 0.14530 -5.640 3.51e-08 factor(data$newstateid)GUJARAT -1.12832 0.14313 -7.883 4.07e-14 factor(data$newstateid)HARYANA -0.52207 0.14313 -3.647 0.000305 factor(data$newstateid)HIMACHAL PRADESH -0.63358 0.14313 -4.426 1.28e-05 factor(data$newstateid)JAMMU & KASHMIR -0.29658 0.14530 -2.041 0.041978 factor(data$newstateid)KARNATAKA -0.14696 0.14696 -1.000 0.317982 factor(data$newstateid)KERALA -0.71922 0.14410 -4.991 9.47e-07 factor(data$newstateid)MADHYA PRADESH 0.13818 0.14319 0.965 0.335208 factor(data$newstateid)MAHARASHTRA -0.31758 0.14368 -2.210 0.027726 factor(data$newstateid)ORISSA -0.80810 0.14368 -5.624 3.81e-08 factor(data$newstateid)PUNJAB -1.56178 0.14319 -10.907 < 2e-16 factor(data$newstateid)RAJASTHAN -0.18979 0.14313 -1.326 0.185710 factor(data$newstateid)TAMIL NADU 0.60502 0.14319 4.225 3.05e-05 factor(data$newstateid)UTTAR PRADESH -0.53413 0.15028 -3.554 0.000431 factor(data$newstateid)WEST BENGAL -0.82391 0.14338 -5.746 1.98e-08 (Intercept) *** data$postwres *** factor(data$year)1986 factor(data$year)1987 factor(data$year)1988 . factor(data$year)1989 * factor(data$year)1990 . factor(data$year)1991 factor(data$year)1992 . factor(data$year)1993 . factor(data$year)1994 factor(data$year)1995 *** factor(data$year)1996 *** factor(data$year)1997 *** factor(data$year)1998 *** factor(data$year)1999 *** factor(data$year)2000 *** factor(data$year)2001 *** factor(data$year)2002 *** factor(data$year)2003 *** factor(data$year)2004 *** factor(data$year)2005 *** factor(data$year)2006 *** factor(data$year)2007 *** factor(data$newstateid)ASSAM factor(data$newstateid)BIHAR *** factor(data$newstateid)GUJARAT *** factor(data$newstateid)HARYANA *** factor(data$newstateid)HIMACHAL PRADESH *** factor(data$newstateid)JAMMU & KASHMIR * factor(data$newstateid)KARNATAKA factor(data$newstateid)KERALA *** factor(data$newstateid)MADHYA PRADESH factor(data$newstateid)MAHARASHTRA * factor(data$newstateid)ORISSA *** factor(data$newstateid)PUNJAB *** factor(data$newstateid)RAJASTHAN factor(data$newstateid)TAMIL NADU *** factor(data$newstateid)UTTAR PRADESH *** factor(data$newstateid)WEST BENGAL *** --- Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1 Residual standard error: 0.4854 on 351 degrees of freedom Multiple R-squared: 0.846, Adjusted R-squared: 0.8289 F-statistic: 49.46 on 39 and 351 DF, p-value: < 2.2e-16
model1cw<- cl(data, model1w, data$newstateid)
model1cw
[[1]] t test of coefficients: Estimate Std. Error t value (Intercept) -3.1452e+00 2.3829e-01 -1.3199e+01 data$postwres 3.6511e-01 1.9031e-01 1.9185e+00 factor(data$year)1986 1.5913e-01 1.5517e-01 1.0255e+00 factor(data$year)1987 1.2377e-01 1.7864e-01 6.9280e-01 factor(data$year)1988 2.7887e-01 1.8055e-01 1.5446e+00 factor(data$year)1989 3.6170e-01 2.0170e-01 1.7933e+00 factor(data$year)1990 3.0469e-01 2.2600e-01 1.3482e+00 factor(data$year)1991 2.5821e-01 2.0731e-01 1.2455e+00 factor(data$year)1992 2.8438e-01 2.0276e-01 1.4026e+00 factor(data$year)1993 3.2019e-01 2.1805e-01 1.4684e+00 factor(data$year)1994 2.7934e-01 2.5292e-01 1.1045e+00 factor(data$year)1995 1.4761e+00 3.0806e-01 4.7914e+00 factor(data$year)1996 1.7261e+00 3.1538e-01 5.4731e+00 factor(data$year)1997 1.7882e+00 3.2142e-01 5.5634e+00 factor(data$year)1998 1.8755e+00 3.2260e-01 5.8136e+00 factor(data$year)1999 1.9063e+00 3.2196e-01 5.9208e+00 factor(data$year)2000 1.9492e+00 3.1932e-01 6.1042e+00 factor(data$year)2001 1.9263e+00 3.3976e-01 5.6695e+00 factor(data$year)2002 1.9194e+00 3.4023e-01 5.6415e+00 factor(data$year)2003 1.8872e+00 3.4327e-01 5.4978e+00 factor(data$year)2004 1.9370e+00 3.5190e-01 5.5044e+00 factor(data$year)2005 1.9222e+00 3.5589e-01 5.4010e+00 factor(data$year)2006 1.9435e+00 3.7136e-01 5.2336e+00 factor(data$year)2007 2.0351e+00 3.7053e-01 5.4925e+00 factor(data$newstateid)ASSAM -2.2726e-01 5.7920e-02 -3.9237e+00 factor(data$newstateid)BIHAR -8.1945e-01 4.9645e-02 -1.6506e+01 factor(data$newstateid)GUJARAT -1.1283e+00 2.1138e-16 -5.3378e+15 factor(data$newstateid)HARYANA -5.2207e-01 1.9020e-16 -2.7448e+15 factor(data$newstateid)HIMACHAL PRADESH -6.3358e-01 1.8893e-16 -3.3534e+15 factor(data$newstateid)JAMMU & KASHMIR -2.9658e-01 4.9645e-02 -5.9739e+00 factor(data$newstateid)KARNATAKA -1.4696e-01 6.6194e-02 -2.2202e+00 factor(data$newstateid)KERALA -7.1922e-01 3.3097e-02 -2.1731e+01 factor(data$newstateid)MADHYA PRADESH 1.3818e-01 8.2742e-03 1.6700e+01 factor(data$newstateid)MAHARASHTRA -3.1758e-01 2.4823e-02 -1.2794e+01 factor(data$newstateid)ORISSA -8.0810e-01 2.4823e-02 -3.2555e+01 factor(data$newstateid)PUNJAB -1.5618e+00 8.2742e-03 -1.8875e+02 factor(data$newstateid)RAJASTHAN -1.8979e-01 1.7297e-16 -1.0973e+15 factor(data$newstateid)TAMIL NADU 6.0502e-01 8.2742e-03 7.3121e+01 factor(data$newstateid)UTTAR PRADESH -5.3413e-01 9.1017e-02 -5.8685e+00 factor(data$newstateid)WEST BENGAL -8.2391e-01 1.6548e-02 -4.9788e+01 Pr(>|t|) (Intercept) < 2.2e-16 *** data$postwres 0.0558573 . factor(data$year)1986 0.3058137 factor(data$year)1987 0.4888786 factor(data$year)1988 0.1233482 factor(data$year)1989 0.0737913 . factor(data$year)1990 0.1784722 factor(data$year)1991 0.2137738 factor(data$year)1992 0.1616317 factor(data$year)1993 0.1428953 factor(data$year)1994 0.2701486 factor(data$year)1995 2.448e-06 *** factor(data$year)1996 8.434e-08 *** factor(data$year)1997 5.256e-08 *** factor(data$year)1998 1.375e-08 *** factor(data$year)1999 7.631e-09 *** factor(data$year)2000 2.737e-09 *** factor(data$year)2001 2.993e-08 *** factor(data$year)2002 3.475e-08 *** factor(data$year)2003 7.415e-08 *** factor(data$year)2004 7.163e-08 *** factor(data$year)2005 1.224e-07 *** factor(data$year)2006 2.868e-07 *** factor(data$year)2007 7.619e-08 *** factor(data$newstateid)ASSAM 0.0001049 *** factor(data$newstateid)BIHAR < 2.2e-16 *** factor(data$newstateid)GUJARAT < 2.2e-16 *** factor(data$newstateid)HARYANA < 2.2e-16 *** factor(data$newstateid)HIMACHAL PRADESH < 2.2e-16 *** factor(data$newstateid)JAMMU & KASHMIR 5.684e-09 *** factor(data$newstateid)KARNATAKA 0.0270460 * factor(data$newstateid)KERALA < 2.2e-16 *** factor(data$newstateid)MADHYA PRADESH < 2.2e-16 *** factor(data$newstateid)MAHARASHTRA < 2.2e-16 *** factor(data$newstateid)ORISSA < 2.2e-16 *** factor(data$newstateid)PUNJAB < 2.2e-16 *** factor(data$newstateid)RAJASTHAN < 2.2e-16 *** factor(data$newstateid)TAMIL NADU < 2.2e-16 *** factor(data$newstateid)UTTAR PRADESH 1.018e-08 *** factor(data$newstateid)WEST BENGAL < 2.2e-16 *** --- Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1 $n [1] 391 $rsq [1] 0.85
# Table 3 column 6 code for total crimes against women in Iyer
model6w<-lm(data$lpcr_womtot ~ data$postwres + data$newstateid:data$year + data$pfemale + data$prural + data$plit + data$pfarm + data$womancm + data$pcgsdp + data$ppol_strengt +
factor(data$year) + factor(data$newstateid), subset=(data$year>=1985 & data$majstate==1))
summary(model6w)
Call: lm(formula = data$lpcr_womtot ~ data$postwres + data$newstateid:data$year + data$pfemale + data$prural + data$plit + data$pfarm + data$womancm + data$pcgsdp + data$ppol_strengt + factor(data$year) + factor(data$newstateid), subset = (data$year >= 1985 & data$majstate == 1)) Residuals: Min 1Q Median 3Q Max -1.87459 -0.11660 -0.00157 0.12497 0.70362 Coefficients: (1 not defined because of singularities) Estimate Std. Error t value (Intercept) -1.815e+01 5.308e+01 -0.342 data$postwres 2.288e-01 6.158e-02 3.716 data$pfemale -2.046e+01 1.045e+01 -1.958 data$prural 1.184e+01 4.436e+00 2.668 data$plit -2.896e+00 3.615e+00 -0.801 data$pfarm 1.615e+01 6.929e+00 2.331 data$womancm -6.440e-02 7.653e-02 -0.842 data$pcgsdp -1.893e-01 9.523e-02 -1.987 data$ppol_strengt -9.182e-02 7.322e-02 -1.254 factor(data$year)1986 2.072e-01 9.911e-02 2.091 factor(data$year)1987 2.465e-01 1.112e-01 2.217 factor(data$year)1988 4.498e-01 1.266e-01 3.552 factor(data$year)1989 5.886e-01 1.456e-01 4.044 factor(data$year)1990 5.824e-01 1.660e-01 3.509 factor(data$year)1991 5.851e-01 1.858e-01 3.148 factor(data$year)1992 8.224e-01 2.124e-01 3.872 factor(data$year)1993 1.061e+00 2.437e-01 4.355 factor(data$year)1994 1.221e+00 2.766e-01 4.413 factor(data$year)1995 2.635e+00 3.104e-01 8.488 factor(data$year)1996 3.049e+00 3.437e-01 8.871 factor(data$year)1997 3.284e+00 3.769e-01 8.713 factor(data$year)1998 3.533e+00 4.100e-01 8.617 factor(data$year)1999 3.719e+00 4.421e-01 8.413 factor(data$year)2000 3.905e+00 4.728e-01 8.259 factor(data$year)2001 4.053e+00 5.040e-01 8.041 factor(data$year)2002 4.196e+00 5.337e-01 7.861 factor(data$year)2003 4.311e+00 5.635e-01 7.650 factor(data$year)2004 4.509e+00 5.927e-01 7.608 factor(data$year)2005 4.633e+00 6.215e-01 7.455 factor(data$year)2006 4.803e+00 6.504e-01 7.385 factor(data$year)2007 5.008e+00 6.758e-01 7.411 factor(data$newstateid)ASSAM 5.440e-01 4.651e+01 0.012 factor(data$newstateid)BIHAR 1.346e+02 4.915e+01 2.738 factor(data$newstateid)GUJARAT -1.011e+01 5.396e+01 -0.187 factor(data$newstateid)HARYANA -4.356e+01 4.932e+01 -0.883 factor(data$newstateid)HIMACHAL PRADESH 4.042e+01 3.281e+01 1.232 factor(data$newstateid)JAMMU & KASHMIR 1.206e+02 4.661e+01 2.588 factor(data$newstateid)KARNATAKA 1.843e+02 4.021e+01 4.584 factor(data$newstateid)KERALA -1.243e+02 8.320e+01 -1.495 factor(data$newstateid)MADHYA PRADESH 1.548e+01 2.730e+01 0.567 factor(data$newstateid)MAHARASHTRA 9.390e+01 4.294e+01 2.187 factor(data$newstateid)ORISSA -1.754e+02 4.356e+01 -4.027 factor(data$newstateid)PUNJAB -9.378e+01 4.293e+01 -2.184 factor(data$newstateid)RAJASTHAN 5.888e+01 5.628e+01 1.046 factor(data$newstateid)TAMIL NADU 1.306e+02 7.848e+01 1.664 factor(data$newstateid)UTTAR PRADESH 3.518e+00 4.137e+01 0.085 factor(data$newstateid)WEST BENGAL 2.312e+01 4.692e+01 0.493 data$newstateidANDHRA PRADESH:data$year 1.136e-02 2.310e-02 0.492 data$newstateidASSAM:data$year 1.047e-02 2.016e-02 0.519 data$newstateidBIHAR:data$year -5.768e-02 2.272e-02 -2.539 data$newstateidGUJARAT:data$year 1.677e-02 2.942e-02 0.570 data$newstateidHARYANA:data$year 3.282e-02 2.484e-02 1.321 data$newstateidHIMACHAL PRADESH:data$year -9.590e-03 2.517e-02 -0.381 data$newstateidJAMMU & KASHMIR:data$year -4.906e-02 2.146e-02 -2.287 data$newstateidKARNATAKA:data$year -8.037e-02 1.912e-02 -4.204 data$newstateidKERALA:data$year 7.595e-02 3.076e-02 2.469 data$newstateidMADHYA PRADESH:data$year 3.093e-03 2.473e-02 0.125 data$newstateidMAHARASHTRA:data$year -3.482e-02 2.870e-02 -1.213 data$newstateidORISSA:data$year 9.857e-02 3.299e-02 2.988 data$newstateidPUNJAB:data$year 5.810e-02 2.428e-02 2.393 data$newstateidRAJASTHAN:data$year -1.870e-02 2.730e-02 -0.685 data$newstateidTAMIL NADU:data$year -5.223e-02 3.663e-02 -1.426 data$newstateidUTTAR PRADESH:data$year 8.551e-03 1.568e-02 0.545 data$newstateidWEST BENGAL:data$year NA NA NA Pr(>|t|) (Intercept) 0.732594 data$postwres 0.000237 *** data$pfemale 0.051086 . data$prural 0.008015 ** data$plit 0.423777 data$pfarm 0.020382 * data$womancm 0.400676 data$pcgsdp 0.047701 * data$ppol_strengt 0.210733 factor(data$year)1986 0.037305 * factor(data$year)1987 0.027310 * factor(data$year)1988 0.000439 *** factor(data$year)1989 6.57e-05 *** factor(data$year)1990 0.000512 *** factor(data$year)1991 0.001793 ** factor(data$year)1992 0.000131 *** factor(data$year)1993 1.78e-05 *** factor(data$year)1994 1.39e-05 *** factor(data$year)1995 7.36e-16 *** factor(data$year)1996 < 2e-16 *** factor(data$year)1997 < 2e-16 *** factor(data$year)1998 2.96e-16 *** factor(data$year)1999 1.25e-15 *** factor(data$year)2000 3.66e-15 *** factor(data$year)2001 1.63e-14 *** factor(data$year)2002 5.53e-14 *** factor(data$year)2003 2.26e-13 *** factor(data$year)2004 2.98e-13 *** factor(data$year)2005 8.08e-13 *** factor(data$year)2006 1.27e-12 *** factor(data$year)2007 1.07e-12 *** factor(data$newstateid)ASSAM 0.990674 factor(data$newstateid)BIHAR 0.006511 ** factor(data$newstateid)GUJARAT 0.851513 factor(data$newstateid)HARYANA 0.377729 factor(data$newstateid)HIMACHAL PRADESH 0.218846 factor(data$newstateid)JAMMU & KASHMIR 0.010094 * factor(data$newstateid)KARNATAKA 6.49e-06 *** factor(data$newstateid)KERALA 0.135997 factor(data$newstateid)MADHYA PRADESH 0.571001 factor(data$newstateid)MAHARASHTRA 0.029465 * factor(data$newstateid)ORISSA 7.01e-05 *** factor(data$newstateid)PUNJAB 0.029654 * factor(data$newstateid)RAJASTHAN 0.296297 factor(data$newstateid)TAMIL NADU 0.097087 . factor(data$newstateid)UTTAR PRADESH 0.932279 factor(data$newstateid)WEST BENGAL 0.622464 data$newstateidANDHRA PRADESH:data$year 0.623349 data$newstateidASSAM:data$year 0.604047 data$newstateidBIHAR:data$year 0.011578 * data$newstateidGUJARAT:data$year 0.568989 data$newstateidHARYANA:data$year 0.187269 data$newstateidHIMACHAL PRADESH:data$year 0.703490 data$newstateidJAMMU & KASHMIR:data$year 0.022848 * data$newstateidKARNATAKA:data$year 3.39e-05 *** data$newstateidKERALA:data$year 0.014054 * data$newstateidMADHYA PRADESH:data$year 0.900538 data$newstateidMAHARASHTRA:data$year 0.225878 data$newstateidORISSA:data$year 0.003021 ** data$newstateidPUNJAB:data$year 0.017285 * data$newstateidRAJASTHAN:data$year 0.493751 data$newstateidTAMIL NADU:data$year 0.154847 data$newstateidUTTAR PRADESH:data$year 0.585919 data$newstateidWEST BENGAL:data$year NA --- Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1 Residual standard error: 0.2766 on 328 degrees of freedom Multiple R-squared: 0.9533, Adjusted R-squared: 0.9445 F-statistic: 108 on 62 and 328 DF, p-value: < 2.2e-16
model6cw<- cl(data, model6w, data$newstateid)
model6cw
[[1]] t test of coefficients: Estimate Std. Error t value (Intercept) -1.8151e+01 9.9215e+01 -0.1829 data$postwres 2.2885e-01 8.4441e-02 2.7102 data$pfemale -2.0461e+01 1.8347e+01 -1.1153 data$prural 1.1835e+01 7.0727e+00 1.6734 data$plit -2.8955e+00 5.1406e+00 -0.5633 data$pfarm 1.6149e+01 1.3363e+01 1.2085 data$womancm -6.4402e-02 7.0851e-02 -0.9090 data$pcgsdp -1.8927e-01 1.0245e-01 -1.8474 data$ppol_strengt -9.1816e-02 5.3947e-02 -1.7020 factor(data$year)1986 2.0723e-01 1.5085e-01 1.3737 factor(data$year)1987 2.4650e-01 1.8910e-01 1.3036 factor(data$year)1988 4.4976e-01 1.9259e-01 2.3352 factor(data$year)1989 5.8862e-01 2.2554e-01 2.6099 factor(data$year)1990 5.8241e-01 2.4776e-01 2.3507 factor(data$year)1991 5.8509e-01 2.4574e-01 2.3809 factor(data$year)1992 8.2236e-01 3.1523e-01 2.6087 factor(data$year)1993 1.0613e+00 3.9733e-01 2.6710 factor(data$year)1994 1.2205e+00 4.9610e-01 2.4602 factor(data$year)1995 2.6348e+00 6.3049e-01 4.1789 factor(data$year)1996 3.0489e+00 6.9951e-01 4.3586 factor(data$year)1997 3.2843e+00 7.8334e-01 4.1926 factor(data$year)1998 3.5329e+00 8.4998e-01 4.1564 factor(data$year)1999 3.7192e+00 9.1609e-01 4.0599 factor(data$year)2000 3.9051e+00 9.7249e-01 4.0156 factor(data$year)2001 4.0531e+00 1.0410e+00 3.8936 factor(data$year)2002 4.1956e+00 1.1034e+00 3.8024 factor(data$year)2003 4.3107e+00 1.1676e+00 3.6921 factor(data$year)2004 4.5091e+00 1.2255e+00 3.6795 factor(data$year)2005 4.6331e+00 1.2838e+00 3.6088 factor(data$year)2006 4.8031e+00 1.3483e+00 3.5622 factor(data$year)2007 5.0083e+00 1.3872e+00 3.6104 factor(data$newstateid)ASSAM 5.4398e-01 6.4401e+01 0.0084 factor(data$newstateid)BIHAR 1.3458e+02 6.9888e+01 1.9257 factor(data$newstateid)GUJARAT -1.0109e+01 9.6203e+01 -0.1051 factor(data$newstateid)HARYANA -4.3560e+01 9.1519e+01 -0.4760 factor(data$newstateid)HIMACHAL PRADESH 4.0421e+01 4.7944e+01 0.8431 factor(data$newstateid)JAMMU & KASHMIR 1.2061e+02 8.2609e+01 1.4600 factor(data$newstateid)KARNATAKA 1.8431e+02 6.2237e+01 2.9615 factor(data$newstateid)KERALA -1.2434e+02 1.3421e+02 -0.9265 factor(data$newstateid)MADHYA PRADESH 1.5481e+01 1.6889e+01 0.9167 factor(data$newstateid)MAHARASHTRA 9.3901e+01 6.8029e+01 1.3803 factor(data$newstateid)ORISSA -1.7542e+02 5.1033e+01 -3.4374 factor(data$newstateid)PUNJAB -9.3779e+01 7.2151e+01 -1.2998 factor(data$newstateid)RAJASTHAN 5.8875e+01 8.7908e+01 0.6697 factor(data$newstateid)TAMIL NADU 1.3058e+02 1.1907e+02 1.0966 factor(data$newstateid)UTTAR PRADESH 3.5180e+00 6.4685e+01 0.0544 factor(data$newstateid)WEST BENGAL 2.3121e+01 8.6980e+01 0.2658 data$newstateidANDHRA PRADESH:data$year 1.1357e-02 4.2534e-02 0.2670 data$newstateidASSAM:data$year 1.0467e-02 2.6676e-02 0.3924 data$newstateidBIHAR:data$year -5.7683e-02 2.5423e-02 -2.2689 data$newstateidGUJARAT:data$year 1.6773e-02 4.8548e-02 0.3455 data$newstateidHARYANA:data$year 3.2824e-02 4.0823e-02 0.8041 data$newstateidHIMACHAL PRADESH:data$year -9.5901e-03 4.2791e-02 -0.2241 data$newstateidJAMMU & KASHMIR:data$year -4.9064e-02 2.3478e-02 -2.0898 data$newstateidKARNATAKA:data$year -8.0371e-02 2.6277e-02 -3.0586 data$newstateidKERALA:data$year 7.5954e-02 3.7837e-02 2.0074 data$newstateidMADHYA PRADESH:data$year 3.0926e-03 4.4367e-02 0.0697 data$newstateidMAHARASHTRA:data$year -3.4822e-02 4.9630e-02 -0.7016 data$newstateidORISSA:data$year 9.8567e-02 6.1115e-02 1.6128 data$newstateidPUNJAB:data$year 5.8099e-02 3.8890e-02 1.4939 data$newstateidRAJASTHAN:data$year -1.8703e-02 3.3731e-02 -0.5545 data$newstateidTAMIL NADU:data$year -5.2228e-02 5.7214e-02 -0.9128 data$newstateidUTTAR PRADESH:data$year 8.5512e-03 2.2513e-02 0.3798 Pr(>|t|) (Intercept) 0.8549503 data$postwres 0.0070789 ** data$pfemale 0.2655569 data$prural 0.0952026 . data$plit 0.5736407 data$pfarm 0.2277393 data$womancm 0.3640278 data$pcgsdp 0.0655931 . data$ppol_strengt 0.0897055 . factor(data$year)1986 0.1704616 factor(data$year)1987 0.1933005 factor(data$year)1988 0.0201332 * factor(data$year)1989 0.0094734 ** factor(data$year)1990 0.0193275 * factor(data$year)1991 0.0178388 * factor(data$year)1992 0.0095035 ** factor(data$year)1993 0.0079395 ** factor(data$year)1994 0.0143994 * factor(data$year)1995 3.761e-05 *** factor(data$year)1996 1.754e-05 *** factor(data$year)1997 3.552e-05 *** factor(data$year)1998 4.130e-05 *** factor(data$year)1999 6.145e-05 *** factor(data$year)2000 7.355e-05 *** factor(data$year)2001 0.0001197 *** factor(data$year)2002 0.0001708 *** factor(data$year)2003 0.0002604 *** factor(data$year)2004 0.0002731 *** factor(data$year)2005 0.0003557 *** factor(data$year)2006 0.0004222 *** factor(data$year)2007 0.0003535 *** factor(data$newstateid)ASSAM 0.9932657 factor(data$newstateid)BIHAR 0.0550058 . factor(data$newstateid)GUJARAT 0.9163750 factor(data$newstateid)HARYANA 0.6344151 factor(data$newstateid)HIMACHAL PRADESH 0.3997883 factor(data$newstateid)JAMMU & KASHMIR 0.1452450 factor(data$newstateid)KARNATAKA 0.0032853 ** factor(data$newstateid)KERALA 0.3548866 factor(data$newstateid)MADHYA PRADESH 0.3599973 factor(data$newstateid)MAHARASHTRA 0.1684313 factor(data$newstateid)ORISSA 0.0006630 *** factor(data$newstateid)PUNJAB 0.1945951 factor(data$newstateid)RAJASTHAN 0.5034949 factor(data$newstateid)TAMIL NADU 0.2736008 factor(data$newstateid)UTTAR PRADESH 0.9566603 factor(data$newstateid)WEST BENGAL 0.7905415 data$newstateidANDHRA PRADESH:data$year 0.7896286 data$newstateidASSAM:data$year 0.6950320 data$newstateidBIHAR:data$year 0.0239212 * data$newstateidGUJARAT:data$year 0.7299406 data$newstateidHARYANA:data$year 0.4219485 data$newstateidHIMACHAL PRADESH:data$year 0.8228080 data$newstateidJAMMU & KASHMIR:data$year 0.0374047 * data$newstateidKARNATAKA:data$year 0.0024070 ** data$newstateidKERALA:data$year 0.0455275 * data$newstateidMADHYA PRADESH:data$year 0.9444708 data$newstateidMAHARASHTRA:data$year 0.4834063 data$newstateidORISSA:data$year 0.1077498 data$newstateidPUNJAB:data$year 0.1361502 data$newstateidRAJASTHAN:data$year 0.5796355 data$newstateidTAMIL NADU:data$year 0.3619959 data$newstateidUTTAR PRADESH:data$year 0.7043099 --- Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1 $n [1] 391 $rsq [1] 0.95
# Outputting the results from the model restricted to post-1995
table2.1<-as.matrix(c(round(column1.cl[[1]]["better.data$postwres",1],3),paste("[",round(column1.cl[[1]]["better.data$postwres",2],3),"]"),round(column1.cl[[3]],2), round(column1.cl[[2]],0) ))
table2.2<-as.matrix(c(round(column2.cl[[1]]["better.data$postwres",1],3),paste("[",round(column2.cl[[1]]["better.data$postwres",2],3),"]"),round(column2.cl[[3]],2), round(column2.cl[[2]],0) ))
table2.3<-as.matrix(c(round(model1cw[[1]]["data$postwres",1],3),paste("[",round(model1cw[[1]]["data$postwres",2],3),"]"),round(model1cw[[3]],2), round(model1cw[[2]],0) ))
table2.4<-as.matrix(c(round(model6cw[[1]]["data$postwres",1],3),paste("[",round(model6cw[[1]]["data$postwres",2],3),"]"),round(model6cw[[3]],2), round(model6cw[[2]],0) ))
table2_out <- matrix(NA,nrow=8,ncol=2)
table2_out[1:4,1] <- table2.1
table2_out[1:4,2] <- table2.2
table2_out[5:8,1] <- table2.3
table2_out[5:8,2] <- table2.4
colnames(table2_out) <- c("No controls (1)", "Control for state-specific time trends + other controls (2)")
rownames(table2_out)<- c("Total crimes against women per 1,000 women", "", "R2", "Observations",
"Total crimes against women per 1,000 women", "", "R2", "Observations")
(table2_out)
No controls (1) | Control for state-specific time trends + other controls (2) | |
---|---|---|
Total crimes against women per 1,000 women | 0.208 | -0.045 |
[ 0.111 ] | [ 0.109 ] | |
R2 | 0.76 | 0.88 |
Observations | 130 | 130 |
Total crimes against women per 1,000 women | 0.365 | 0.229 |
[ 0.19 ] | [ 0.084 ] | |
R2 | 0.85 | 0.95 |
Observations | 391 | 391 |
install.packages('stargazer')
library(stargazer)
stargazer(table2_out,title="Women's Political Representation and Crimes against Women")
Installing package into ‘/usr/local/lib/R/site-library’ (as ‘lib’ is unspecified)
% Table created by stargazer v.5.2.2 by Marek Hlavac, Harvard University. E-mail: hlavac at fas.harvard.edu % Date and time: Fri, Dec 20, 2019 - 06:27:25 AM \begin{table}[!htbp] \centering \caption{Women's Political Representation and Crimes against Women} \label{} \begin{tabular}{@{\extracolsep{5pt}} ccc} \\[-1.8ex]\hline \hline \\[-1.8ex] & No controls (1) & Control for state-specific time trends + other controls (2) \\ \hline \\[-1.8ex] Total.crimes.against.women.per.1.000.women & 0.208 & -0.045 \\ X & [ 0.111 ] & [ 0.109 ] \\ R2 & 0.76 & 0.88 \\ Observations & 130 & 130 \\ Total.crimes.against.women.per.1.000.women.1 & 0.365 & 0.229 \\ X.1 & [ 0.19 ] & [ 0.084 ] \\ R2.1 & 0.85 & 0.95 \\ Observations.1 & 391 & 391 \\ \hline \\[-1.8ex] \end{tabular} \end{table}
Table 2:
I copy paste the above latex code to a latex editor and copy the picture to the github and add the link here.
Table 2.2:
Disregarding Panel A, this is the replication of the table from original paper:
# installing library for genmatch
install.packages('Matching')
install.packages('rgenoud')
Installing package into ‘/usr/local/lib/R/site-library’ (as ‘lib’ is unspecified) Installing package into ‘/usr/local/lib/R/site-library’ (as ‘lib’ is unspecified)
library(Matching)
attach(after.data)
X = cbind(state, pcgsdp, pfemale, plit, pwlit, prural)
X.all = cbind(state, pcgsdp, pfemale, plit, pwlit, prural, state^2, pcgsdp^2, pfemale^2, plit^2, pwlit^2, prural^2,
state*pcgsdp, state*pfemale, state*plit, state*pwlit, state*prural,
pcgsdp*pfemale, pcgsdp*plit, pcgsdp*pwlit, pcgsdp*prural,
pfemale*plit, pfemale*pwlit, pfemale*prural, plit*pwlit, plit*prural, pwlit*prural)
Tr = treat
Y = pcr_womtot
detach(after.data)
The following object is masked _by_ .GlobalEnv: X
genout = GenMatch(Tr = Tr, X = X, M=1, pop.size = 250,
max.generations = 20, wait.generations = 25,
exact = c(T, F, F, F, F, F))
mout = Match(Tr = Tr, X = X, M=1, Weight.matrix = genout,
exact = c(T, F, F, F, F, F))
summary(mout)
mb <- MatchBalance(treat ~ state + pcgsdp + pfemale + plit + pwlit + prural, data=after.data, match.out=mout, nboots=500)
Fri Dec 20 10:15:31 2019 Domains: 0.000000e+00 <= X1 <= 1.000000e+03 0.000000e+00 <= X2 <= 1.000000e+03 0.000000e+00 <= X3 <= 1.000000e+03 0.000000e+00 <= X4 <= 1.000000e+03 0.000000e+00 <= X5 <= 1.000000e+03 0.000000e+00 <= X6 <= 1.000000e+03 Data Type: Floating Point Operators (code number, name, population) (1) Cloning........................... 30 (2) Uniform Mutation.................. 31 (3) Boundary Mutation................. 31 (4) Non-Uniform Mutation.............. 31 (5) Polytope Crossover................ 31 (6) Simple Crossover.................. 32 (7) Whole Non-Uniform Mutation........ 31 (8) Heuristic Crossover............... 32 (9) Local-Minimum Crossover........... 0 SOFT Maximum Number of Generations: 20 Maximum Nonchanging Generations: 25 Population size : 250 Convergence Tolerance: 1.000000e-03 Not Using the BFGS Derivative Based Optimizer on the Best Individual Each Generation. Not Checking Gradients before Stopping. Using Out of Bounds Individuals. Maximization Problem. GENERATION: 0 (initializing the population) Lexical Fit..... 7.091676e-09 2.152124e-08 1.978875e-07 3.632187e-07 2.408537e-04 1.074108e-03 1.387813e-02 2.895102e-02 2.895102e-02 2.895102e-02 1.000000e+00 1.000000e+00 #unique......... 250, #Total UniqueCount: 250 var 1: best............ 1.000000e+00 mean............ 4.869624e+02 variance........ 8.084156e+04 var 2: best............ 1.000000e+00 mean............ 4.839293e+02 variance........ 8.471762e+04 var 3: best............ 1.000000e+00 mean............ 5.120986e+02 variance........ 8.837688e+04 var 4: best............ 1.000000e+00 mean............ 4.805688e+02 variance........ 8.008272e+04 var 5: best............ 1.000000e+00 mean............ 5.007292e+02 variance........ 9.040462e+04 var 6: best............ 1.000000e+00 mean............ 4.641186e+02 variance........ 8.570719e+04 GENERATION: 1 Lexical Fit..... 7.091676e-09 2.152124e-08 1.978875e-07 3.632187e-07 2.408537e-04 1.074108e-03 1.387813e-02 2.895102e-02 2.895102e-02 2.895102e-02 1.000000e+00 1.000000e+00 #unique......... 177, #Total UniqueCount: 427 var 1: best............ 1.000000e+00 mean............ 2.067249e+02 variance........ 5.493086e+04 var 2: best............ 1.000000e+00 mean............ 3.357338e+02 variance........ 1.098860e+05 var 3: best............ 1.000000e+00 mean............ 2.614042e+02 variance........ 8.870857e+04 var 4: best............ 1.000000e+00 mean............ 2.543288e+02 variance........ 5.839917e+04 var 5: best............ 1.000000e+00 mean............ 3.534290e+02 variance........ 1.014301e+05 var 6: best............ 1.000000e+00 mean............ 3.578133e+02 variance........ 1.116520e+05 GENERATION: 2 Lexical Fit..... 7.091676e-09 2.152124e-08 1.978875e-07 3.632187e-07 2.408537e-04 1.074108e-03 1.387813e-02 2.895102e-02 2.895102e-02 2.895102e-02 1.000000e+00 1.000000e+00 #unique......... 164, #Total UniqueCount: 591 var 1: best............ 1.000000e+00 mean............ 1.994536e+02 variance........ 5.200102e+04 var 2: best............ 1.000000e+00 mean............ 2.788272e+02 variance........ 9.019044e+04 var 3: best............ 1.000000e+00 mean............ 2.559352e+02 variance........ 7.747169e+04 var 4: best............ 1.000000e+00 mean............ 2.572351e+02 variance........ 5.866570e+04 var 5: best............ 1.000000e+00 mean............ 3.704266e+02 variance........ 1.102362e+05 var 6: best............ 1.000000e+00 mean............ 4.206100e+02 variance........ 1.401245e+05 GENERATION: 3 Lexical Fit..... 7.091676e-09 2.152124e-08 1.978875e-07 3.632187e-07 2.408537e-04 1.074108e-03 1.387813e-02 2.895102e-02 2.895102e-02 2.895102e-02 1.000000e+00 1.000000e+00 #unique......... 162, #Total UniqueCount: 753 var 1: best............ 1.000000e+00 mean............ 2.268730e+02 variance........ 5.453758e+04 var 2: best............ 1.000000e+00 mean............ 3.401008e+02 variance........ 1.023198e+05 var 3: best............ 1.000000e+00 mean............ 3.084607e+02 variance........ 8.716244e+04 var 4: best............ 1.000000e+00 mean............ 2.753605e+02 variance........ 5.534352e+04 var 5: best............ 1.000000e+00 mean............ 4.241352e+02 variance........ 1.073301e+05 var 6: best............ 1.000000e+00 mean............ 4.455492e+02 variance........ 1.237564e+05 GENERATION: 4 Lexical Fit..... 7.091676e-09 2.152124e-08 1.978875e-07 3.632187e-07 2.408537e-04 1.074108e-03 1.387813e-02 2.895102e-02 2.895102e-02 2.895102e-02 1.000000e+00 1.000000e+00 #unique......... 154, #Total UniqueCount: 907 var 1: best............ 1.000000e+00 mean............ 2.084203e+02 variance........ 5.462835e+04 var 2: best............ 1.000000e+00 mean............ 3.184203e+02 variance........ 9.890479e+04 var 3: best............ 1.000000e+00 mean............ 2.836734e+02 variance........ 8.938773e+04 var 4: best............ 1.000000e+00 mean............ 2.619593e+02 variance........ 6.005827e+04 var 5: best............ 1.000000e+00 mean............ 3.813070e+02 variance........ 1.021858e+05 var 6: best............ 1.000000e+00 mean............ 4.002430e+02 variance........ 1.164179e+05 GENERATION: 5 Lexical Fit..... 7.091676e-09 2.152124e-08 1.978875e-07 3.632187e-07 2.408537e-04 1.074108e-03 1.387813e-02 2.895102e-02 2.895102e-02 2.895102e-02 1.000000e+00 1.000000e+00 #unique......... 170, #Total UniqueCount: 1077 var 1: best............ 1.000000e+00 mean............ 2.076459e+02 variance........ 5.569905e+04 var 2: best............ 1.000000e+00 mean............ 3.129720e+02 variance........ 1.047148e+05 var 3: best............ 1.000000e+00 mean............ 2.776420e+02 variance........ 8.277077e+04 var 4: best............ 1.000000e+00 mean............ 2.721222e+02 variance........ 6.389149e+04 var 5: best............ 1.000000e+00 mean............ 3.838032e+02 variance........ 1.140802e+05 var 6: best............ 1.000000e+00 mean............ 4.301203e+02 variance........ 1.381721e+05 GENERATION: 6 Lexical Fit..... 7.091676e-09 2.152124e-08 1.978875e-07 3.632187e-07 2.408537e-04 1.074108e-03 1.387813e-02 2.895102e-02 2.895102e-02 2.895102e-02 1.000000e+00 1.000000e+00 #unique......... 154, #Total UniqueCount: 1231 var 1: best............ 1.000000e+00 mean............ 1.942233e+02 variance........ 4.989629e+04 var 2: best............ 1.000000e+00 mean............ 3.237191e+02 variance........ 1.092290e+05 var 3: best............ 1.000000e+00 mean............ 2.666690e+02 variance........ 8.856326e+04 var 4: best............ 1.000000e+00 mean............ 2.623851e+02 variance........ 5.829072e+04 var 5: best............ 1.000000e+00 mean............ 3.751511e+02 variance........ 1.114314e+05 var 6: best............ 1.000000e+00 mean............ 4.039160e+02 variance........ 1.297595e+05 GENERATION: 7 Lexical Fit..... 7.091676e-09 2.152124e-08 1.978875e-07 3.632187e-07 2.408537e-04 1.074108e-03 1.387813e-02 2.895102e-02 2.895102e-02 2.895102e-02 1.000000e+00 1.000000e+00 #unique......... 161, #Total UniqueCount: 1392 var 1: best............ 1.000000e+00 mean............ 1.837207e+02 variance........ 5.477880e+04 var 2: best............ 1.000000e+00 mean............ 2.691805e+02 variance........ 9.902492e+04 var 3: best............ 1.000000e+00 mean............ 2.382289e+02 variance........ 8.143733e+04 var 4: best............ 1.000000e+00 mean............ 2.304691e+02 variance........ 6.086561e+04 var 5: best............ 1.000000e+00 mean............ 3.144773e+02 variance........ 1.062251e+05 var 6: best............ 1.000000e+00 mean............ 3.570007e+02 variance........ 1.284794e+05 GENERATION: 8 Lexical Fit..... 7.091676e-09 2.152124e-08 1.978875e-07 3.632187e-07 2.408537e-04 1.074108e-03 1.387813e-02 2.895102e-02 2.895102e-02 2.895102e-02 1.000000e+00 1.000000e+00 #unique......... 159, #Total UniqueCount: 1551 var 1: best............ 1.000000e+00 mean............ 1.903505e+02 variance........ 5.967128e+04 var 2: best............ 1.000000e+00 mean............ 2.938140e+02 variance........ 1.063389e+05 var 3: best............ 1.000000e+00 mean............ 2.445971e+02 variance........ 8.810372e+04 var 4: best............ 1.000000e+00 mean............ 2.277297e+02 variance........ 6.258419e+04 var 5: best............ 1.000000e+00 mean............ 3.144160e+02 variance........ 1.048731e+05 var 6: best............ 1.000000e+00 mean............ 3.445338e+02 variance........ 1.109111e+05 GENERATION: 9 Lexical Fit..... 7.091676e-09 2.152124e-08 1.978875e-07 3.632187e-07 2.408537e-04 1.074108e-03 1.387813e-02 2.895102e-02 2.895102e-02 2.895102e-02 1.000000e+00 1.000000e+00 #unique......... 162, #Total UniqueCount: 1713 var 1: best............ 1.000000e+00 mean............ 2.023027e+02 variance........ 5.638079e+04 var 2: best............ 1.000000e+00 mean............ 3.180537e+02 variance........ 1.031398e+05 var 3: best............ 1.000000e+00 mean............ 2.418609e+02 variance........ 7.228735e+04 var 4: best............ 1.000000e+00 mean............ 2.386364e+02 variance........ 5.583064e+04 var 5: best............ 1.000000e+00 mean............ 3.527736e+02 variance........ 1.058426e+05 var 6: best............ 1.000000e+00 mean............ 4.028022e+02 variance........ 1.238470e+05 GENERATION: 10 Lexical Fit..... 7.091676e-09 2.152124e-08 1.978875e-07 3.632187e-07 2.408537e-04 1.074108e-03 1.387813e-02 2.895102e-02 2.895102e-02 2.895102e-02 1.000000e+00 1.000000e+00 #unique......... 158, #Total UniqueCount: 1871 var 1: best............ 1.000000e+00 mean............ 2.001690e+02 variance........ 5.538045e+04 var 2: best............ 1.000000e+00 mean............ 3.191838e+02 variance........ 1.105278e+05 var 3: best............ 1.000000e+00 mean............ 2.494640e+02 variance........ 7.691773e+04 var 4: best............ 1.000000e+00 mean............ 2.406349e+02 variance........ 5.613031e+04 var 5: best............ 1.000000e+00 mean............ 3.683129e+02 variance........ 1.122084e+05 var 6: best............ 1.000000e+00 mean............ 3.917663e+02 variance........ 1.275593e+05 GENERATION: 11 Lexical Fit..... 7.091676e-09 2.152124e-08 1.978875e-07 3.632187e-07 2.408537e-04 1.074108e-03 1.387813e-02 2.895102e-02 2.895102e-02 2.895102e-02 1.000000e+00 1.000000e+00 #unique......... 152, #Total UniqueCount: 2023 var 1: best............ 1.000000e+00 mean............ 2.013667e+02 variance........ 5.889774e+04 var 2: best............ 1.000000e+00 mean............ 3.238917e+02 variance........ 1.062029e+05 var 3: best............ 1.000000e+00 mean............ 2.540243e+02 variance........ 8.278003e+04 var 4: best............ 1.000000e+00 mean............ 2.562011e+02 variance........ 6.023430e+04 var 5: best............ 1.000000e+00 mean............ 3.675100e+02 variance........ 1.171977e+05 var 6: best............ 1.000000e+00 mean............ 3.826311e+02 variance........ 1.305029e+05 GENERATION: 12 Lexical Fit..... 7.091676e-09 2.152124e-08 1.978875e-07 3.632187e-07 2.408537e-04 1.074108e-03 1.387813e-02 2.895102e-02 2.895102e-02 2.895102e-02 1.000000e+00 1.000000e+00 #unique......... 163, #Total UniqueCount: 2186 var 1: best............ 1.000000e+00 mean............ 1.958114e+02 variance........ 4.758129e+04 var 2: best............ 1.000000e+00 mean............ 2.950702e+02 variance........ 9.228156e+04 var 3: best............ 1.000000e+00 mean............ 2.833182e+02 variance........ 8.171594e+04 var 4: best............ 1.000000e+00 mean............ 2.675138e+02 variance........ 5.533521e+04 var 5: best............ 1.000000e+00 mean............ 4.300685e+02 variance........ 1.221966e+05 var 6: best............ 1.000000e+00 mean............ 4.738344e+02 variance........ 1.502409e+05 GENERATION: 13 Lexical Fit..... 7.091676e-09 2.152124e-08 1.978875e-07 3.632187e-07 2.408537e-04 1.074108e-03 1.387813e-02 2.895102e-02 2.895102e-02 2.895102e-02 1.000000e+00 1.000000e+00 #unique......... 161, #Total UniqueCount: 2347 var 1: best............ 1.000000e+00 mean............ 1.943046e+02 variance........ 4.704871e+04 var 2: best............ 1.000000e+00 mean............ 3.212490e+02 variance........ 9.909819e+04 var 3: best............ 1.000000e+00 mean............ 2.705518e+02 variance........ 7.170864e+04 var 4: best............ 1.000000e+00 mean............ 2.714113e+02 variance........ 5.077226e+04 var 5: best............ 1.000000e+00 mean............ 4.078594e+02 variance........ 1.116341e+05 var 6: best............ 1.000000e+00 mean............ 4.676769e+02 variance........ 1.376910e+05 GENERATION: 14 Lexical Fit..... 7.091676e-09 2.152124e-08 1.978875e-07 3.632187e-07 2.408537e-04 1.074108e-03 1.387813e-02 2.895102e-02 2.895102e-02 2.895102e-02 1.000000e+00 1.000000e+00 #unique......... 164, #Total UniqueCount: 2511 var 1: best............ 1.000000e+00 mean............ 2.012485e+02 variance........ 4.954427e+04 var 2: best............ 1.000000e+00 mean............ 3.377469e+02 variance........ 1.069995e+05 var 3: best............ 1.000000e+00 mean............ 2.677215e+02 variance........ 8.305993e+04 var 4: best............ 1.000000e+00 mean............ 2.580200e+02 variance........ 5.475477e+04 var 5: best............ 1.000000e+00 mean............ 4.136056e+02 variance........ 1.173366e+05 var 6: best............ 1.000000e+00 mean............ 4.391369e+02 variance........ 1.373090e+05 GENERATION: 15 Lexical Fit..... 7.091676e-09 2.152124e-08 1.978875e-07 3.632187e-07 2.408537e-04 1.074108e-03 1.387813e-02 2.895102e-02 2.895102e-02 2.895102e-02 1.000000e+00 1.000000e+00 #unique......... 151, #Total UniqueCount: 2662 var 1: best............ 1.000000e+00 mean............ 1.965637e+02 variance........ 4.538670e+04 var 2: best............ 1.000000e+00 mean............ 3.288374e+02 variance........ 1.027069e+05 var 3: best............ 1.000000e+00 mean............ 2.846472e+02 variance........ 8.364597e+04 var 4: best............ 1.000000e+00 mean............ 2.639190e+02 variance........ 5.582352e+04 var 5: best............ 1.000000e+00 mean............ 4.002579e+02 variance........ 1.111046e+05 var 6: best............ 1.000000e+00 mean............ 4.578894e+02 variance........ 1.311778e+05 GENERATION: 16 Lexical Fit..... 7.091676e-09 2.152124e-08 1.978875e-07 3.632187e-07 2.408537e-04 1.074108e-03 1.387813e-02 2.895102e-02 2.895102e-02 2.895102e-02 1.000000e+00 1.000000e+00 #unique......... 158, #Total UniqueCount: 2820 var 1: best............ 1.000000e+00 mean............ 1.942062e+02 variance........ 5.305476e+04 var 2: best............ 1.000000e+00 mean............ 2.905828e+02 variance........ 9.864715e+04 var 3: best............ 1.000000e+00 mean............ 2.689397e+02 variance........ 8.548512e+04 var 4: best............ 1.000000e+00 mean............ 2.531729e+02 variance........ 5.550607e+04 var 5: best............ 1.000000e+00 mean............ 3.988732e+02 variance........ 1.208279e+05 var 6: best............ 1.000000e+00 mean............ 4.293242e+02 variance........ 1.430052e+05 GENERATION: 17 Lexical Fit..... 7.091676e-09 2.152124e-08 1.978875e-07 3.632187e-07 2.408537e-04 1.074108e-03 1.387813e-02 2.895102e-02 2.895102e-02 2.895102e-02 1.000000e+00 1.000000e+00 #unique......... 148, #Total UniqueCount: 2968 var 1: best............ 1.000000e+00 mean............ 2.143480e+02 variance........ 5.931058e+04 var 2: best............ 1.000000e+00 mean............ 3.197709e+02 variance........ 1.122269e+05 var 3: best............ 1.000000e+00 mean............ 2.402866e+02 variance........ 6.960078e+04 var 4: best............ 1.000000e+00 mean............ 2.505911e+02 variance........ 5.481377e+04 var 5: best............ 1.000000e+00 mean............ 4.055188e+02 variance........ 1.200994e+05 var 6: best............ 1.000000e+00 mean............ 4.058763e+02 variance........ 1.318117e+05 GENERATION: 18 Lexical Fit..... 7.091676e-09 2.152124e-08 1.978875e-07 3.632187e-07 2.408537e-04 1.074108e-03 1.387813e-02 2.895102e-02 2.895102e-02 2.895102e-02 1.000000e+00 1.000000e+00 #unique......... 151, #Total UniqueCount: 3119 var 1: best............ 1.000000e+00 mean............ 1.954253e+02 variance........ 5.569896e+04 var 2: best............ 1.000000e+00 mean............ 3.044475e+02 variance........ 1.087581e+05 var 3: best............ 1.000000e+00 mean............ 2.498452e+02 variance........ 7.943949e+04 var 4: best............ 1.000000e+00 mean............ 2.391911e+02 variance........ 5.589177e+04 var 5: best............ 1.000000e+00 mean............ 3.526786e+02 variance........ 1.135026e+05 var 6: best............ 1.000000e+00 mean............ 3.956704e+02 variance........ 1.333540e+05 GENERATION: 19 Lexical Fit..... 7.091676e-09 2.152124e-08 1.978875e-07 3.632187e-07 2.408537e-04 1.074108e-03 1.387813e-02 2.895102e-02 2.895102e-02 2.895102e-02 1.000000e+00 1.000000e+00 #unique......... 151, #Total UniqueCount: 3270 var 1: best............ 1.000000e+00 mean............ 2.003663e+02 variance........ 5.391044e+04 var 2: best............ 1.000000e+00 mean............ 3.179106e+02 variance........ 1.069114e+05 var 3: best............ 1.000000e+00 mean............ 2.530954e+02 variance........ 8.033255e+04 var 4: best............ 1.000000e+00 mean............ 2.594295e+02 variance........ 6.004887e+04 var 5: best............ 1.000000e+00 mean............ 3.779002e+02 variance........ 1.172377e+05 var 6: best............ 1.000000e+00 mean............ 4.086634e+02 variance........ 1.308589e+05 GENERATION: 20 Lexical Fit..... 7.091676e-09 2.152124e-08 1.978875e-07 3.632187e-07 2.408537e-04 1.074108e-03 1.387813e-02 2.895102e-02 2.895102e-02 2.895102e-02 1.000000e+00 1.000000e+00 #unique......... 149, #Total UniqueCount: 3419 var 1: best............ 1.000000e+00 mean............ 1.923237e+02 variance........ 4.931169e+04 var 2: best............ 1.000000e+00 mean............ 3.177500e+02 variance........ 9.936288e+04 var 3: best............ 1.000000e+00 mean............ 2.552078e+02 variance........ 7.592238e+04 var 4: best............ 1.000000e+00 mean............ 2.559744e+02 variance........ 5.587061e+04 var 5: best............ 1.000000e+00 mean............ 3.654223e+02 variance........ 1.075130e+05 var 6: best............ 1.000000e+00 mean............ 4.157585e+02 variance........ 1.262211e+05 Increasing 'max.generations' limit by 25 generations to 45 because the fitness is still impoving. GENERATION: 21 Lexical Fit..... 7.091676e-09 2.152124e-08 1.978875e-07 3.632187e-07 2.408537e-04 1.074108e-03 1.387813e-02 2.895102e-02 2.895102e-02 2.895102e-02 1.000000e+00 1.000000e+00 #unique......... 165, #Total UniqueCount: 3584 var 1: best............ 1.000000e+00 mean............ 2.117621e+02 variance........ 5.704886e+04 var 2: best............ 1.000000e+00 mean............ 3.507969e+02 variance........ 1.160030e+05 var 3: best............ 1.000000e+00 mean............ 2.777568e+02 variance........ 9.063593e+04 var 4: best............ 1.000000e+00 mean............ 2.692659e+02 variance........ 6.221478e+04 var 5: best............ 1.000000e+00 mean............ 4.084472e+02 variance........ 1.202905e+05 var 6: best............ 1.000000e+00 mean............ 3.977886e+02 variance........ 1.280544e+05 GENERATION: 22 Lexical Fit..... 7.091676e-09 2.152124e-08 1.978875e-07 3.632187e-07 2.408537e-04 1.074108e-03 1.387813e-02 2.895102e-02 2.895102e-02 2.895102e-02 1.000000e+00 1.000000e+00 #unique......... 140, #Total UniqueCount: 3724 var 1: best............ 1.000000e+00 mean............ 1.933690e+02 variance........ 5.110886e+04 var 2: best............ 1.000000e+00 mean............ 3.220379e+02 variance........ 1.121888e+05 var 3: best............ 1.000000e+00 mean............ 2.468595e+02 variance........ 8.061371e+04 var 4: best............ 1.000000e+00 mean............ 2.507874e+02 variance........ 5.953572e+04 var 5: best............ 1.000000e+00 mean............ 3.687719e+02 variance........ 1.140645e+05 var 6: best............ 1.000000e+00 mean............ 3.939964e+02 variance........ 1.224475e+05 GENERATION: 23 Lexical Fit..... 7.091676e-09 2.152124e-08 1.978875e-07 3.632187e-07 2.408537e-04 1.074108e-03 1.387813e-02 2.895102e-02 2.895102e-02 2.895102e-02 1.000000e+00 1.000000e+00 #unique......... 157, #Total UniqueCount: 3881 var 1: best............ 1.000000e+00 mean............ 1.803034e+02 variance........ 5.455288e+04 var 2: best............ 1.000000e+00 mean............ 2.731252e+02 variance........ 1.049311e+05 var 3: best............ 1.000000e+00 mean............ 2.411679e+02 variance........ 8.186236e+04 var 4: best............ 1.000000e+00 mean............ 2.350011e+02 variance........ 6.157529e+04 var 5: best............ 1.000000e+00 mean............ 3.376392e+02 variance........ 1.135073e+05 var 6: best............ 1.000000e+00 mean............ 3.601811e+02 variance........ 1.290032e+05 GENERATION: 24 Lexical Fit..... 7.091676e-09 2.152124e-08 1.978875e-07 3.632187e-07 2.408537e-04 1.074108e-03 1.387813e-02 2.895102e-02 2.895102e-02 2.895102e-02 1.000000e+00 1.000000e+00 #unique......... 154, #Total UniqueCount: 4035 var 1: best............ 1.000000e+00 mean............ 1.771536e+02 variance........ 4.705948e+04 var 2: best............ 1.000000e+00 mean............ 2.846423e+02 variance........ 1.004132e+05 var 3: best............ 1.000000e+00 mean............ 2.498303e+02 variance........ 7.676543e+04 var 4: best............ 1.000000e+00 mean............ 2.338603e+02 variance........ 5.474791e+04 var 5: best............ 1.000000e+00 mean............ 3.566962e+02 variance........ 1.090304e+05 var 6: best............ 1.000000e+00 mean............ 4.045162e+02 variance........ 1.343969e+05 GENERATION: 25 Lexical Fit..... 7.091676e-09 2.152124e-08 1.978875e-07 3.632187e-07 2.408537e-04 1.074108e-03 1.387813e-02 2.895102e-02 2.895102e-02 2.895102e-02 1.000000e+00 1.000000e+00 #unique......... 160, #Total UniqueCount: 4195 var 1: best............ 1.000000e+00 mean............ 2.101181e+02 variance........ 6.207225e+04 var 2: best............ 1.000000e+00 mean............ 3.046734e+02 variance........ 1.108346e+05 var 3: best............ 1.000000e+00 mean............ 2.431538e+02 variance........ 7.600884e+04 var 4: best............ 1.000000e+00 mean............ 2.483739e+02 variance........ 6.052008e+04 var 5: best............ 1.000000e+00 mean............ 3.690396e+02 variance........ 1.207061e+05 var 6: best............ 1.000000e+00 mean............ 3.895274e+02 variance........ 1.369338e+05 GENERATION: 26 Lexical Fit..... 7.091676e-09 2.152124e-08 1.978875e-07 3.632187e-07 2.408537e-04 1.074108e-03 1.387813e-02 2.895102e-02 2.895102e-02 2.895102e-02 1.000000e+00 1.000000e+00 #unique......... 156, #Total UniqueCount: 4351 var 1: best............ 1.000000e+00 mean............ 2.147517e+02 variance........ 5.044245e+04 var 2: best............ 1.000000e+00 mean............ 3.310971e+02 variance........ 1.006291e+05 var 3: best............ 1.000000e+00 mean............ 3.036269e+02 variance........ 8.598458e+04 var 4: best............ 1.000000e+00 mean............ 2.713838e+02 variance........ 5.266361e+04 var 5: best............ 1.000000e+00 mean............ 4.404465e+02 variance........ 1.090858e+05 var 6: best............ 1.000000e+00 mean............ 4.646261e+02 variance........ 1.325930e+05 'wait.generations' limit reached. No significant improvement in 25 generations. Solution Lexical Fitness Value: 7.091676e-09 2.152124e-08 1.978875e-07 3.632187e-07 2.408537e-04 1.074108e-03 1.387813e-02 2.895102e-02 2.895102e-02 2.895102e-02 1.000000e+00 1.000000e+00 Parameters at the Solution: X[ 1] : 1.000000e+00 X[ 2] : 1.000000e+00 X[ 3] : 1.000000e+00 X[ 4] : 1.000000e+00 X[ 5] : 1.000000e+00 X[ 6] : 1.000000e+00 Solution Found Generation 1 Number of Generations Run 26 Fri Dec 20 10:15:54 2019 Total run time : 0 hours 0 minutes and 23 seconds Estimate... 0 SE......... 0 T-stat..... NaN p.val...... NA Original number of observations.............. 130 Original number of treated obs............... 99 Matched number of observations............... 34 Matched number of observations (unweighted). 34 Number of obs dropped by 'exact' or 'caliper' 65 ***** (V1) state ***** Before Matching After Matching mean treatment........ 6.9091 8.6471 mean control.......... 8.5484 8.6471 std mean diff......... -32.599 0 mean raw eQQ diff..... 2.1613 0 med raw eQQ diff..... 1 0 max raw eQQ diff..... 9 0 mean eCDF diff........ 0.13851 0 med eCDF diff........ 0.12284 0 max eCDF diff........ 0.33464 0 var ratio (Tr/Co)..... 0.65871 1 T-test p-value........ 0.18686 1 KS Bootstrap p-value.. 0.004 1 KS Naive p-value...... 0.010111 1 KS Statistic.......... 0.33464 0 ***** (V2) pcgsdp ***** Before Matching After Matching mean treatment........ 2.1787 1.8473 mean control.......... 1.164 1.5029 std mean diff......... 143.57 57.045 mean raw eQQ diff..... 1.0135 0.34582 med raw eQQ diff..... 0.93248 0.30473 max raw eQQ diff..... 2.3154 1.2072 mean eCDF diff........ 0.42017 0.18929 med eCDF diff........ 0.42929 0.17647 max eCDF diff........ 0.75562 0.47059 var ratio (Tr/Co)..... 4.1453 2.1406 T-test p-value........ < 2.22e-16 1.9789e-07 KS Bootstrap p-value.. < 2.22e-16 < 2.22e-16 KS Naive p-value...... 5.9952e-14 0.0010741 KS Statistic.......... 0.75562 0.47059 ***** (V3) pfemale ***** Before Matching After Matching mean treatment........ 0.93402 0.94236 mean control.......... 0.91168 0.93789 std mean diff......... 54.573 11.913 mean raw eQQ diff..... 0.029935 0.0044713 med raw eQQ diff..... 0.022884 0.0035205 max raw eQQ diff..... 0.054991 0.01465 mean eCDF diff........ 0.20641 0.11916 med eCDF diff........ 0.24373 0.11765 max eCDF diff........ 0.41219 0.35294 var ratio (Tr/Co)..... 4.068 1.1947 T-test p-value........ 9.4019e-05 3.6322e-07 KS Bootstrap p-value.. < 2.22e-16 0.016 KS Naive p-value...... 0.00039652 0.028951 KS Statistic.......... 0.41219 0.35294 ***** (V4) plit ***** Before Matching After Matching mean treatment........ 0.55776 0.54351 mean control.......... 0.44882 0.50517 std mean diff......... 131.34 39.621 mean raw eQQ diff..... 0.10727 0.038343 med raw eQQ diff..... 0.10429 0.031325 max raw eQQ diff..... 0.17097 0.11462 mean eCDF diff........ 0.35533 0.12368 med eCDF diff........ 0.35761 0.11765 max eCDF diff........ 0.63245 0.35294 var ratio (Tr/Co)..... 2.1262 1.5482 T-test p-value........ 4.4098e-12 7.0917e-09 KS Bootstrap p-value.. < 2.22e-16 0.026 KS Naive p-value...... 1.7559e-09 0.028951 KS Statistic.......... 0.63245 0.35294 ***** (V5) pwlit ***** Before Matching After Matching mean treatment........ 0.46168 0.4519 mean control.......... 0.34436 0.40848 std mean diff......... 119.33 38.661 mean raw eQQ diff..... 0.11511 0.043416 med raw eQQ diff..... 0.12534 0.034081 max raw eQQ diff..... 0.17462 0.13454 mean eCDF diff........ 0.32959 0.13348 med eCDF diff........ 0.35761 0.11765 max eCDF diff........ 0.5334 0.38235 var ratio (Tr/Co)..... 1.9776 1.5666 T-test p-value........ 2.8749e-10 2.1521e-08 KS Bootstrap p-value.. < 2.22e-16 0.012 KS Naive p-value...... 1.009e-06 0.013878 KS Statistic.......... 0.5334 0.38235 ***** (V6) prural ***** Before Matching After Matching mean treatment........ 0.74033 0.72783 mean control.......... 0.81251 0.75093 std mean diff......... -66.339 -16.824 mean raw eQQ diff..... 0.081253 0.023102 med raw eQQ diff..... 0.074682 0.0045347 max raw eQQ diff..... 0.21918 0.10663 mean eCDF diff........ 0.25724 0.14329 med eCDF diff........ 0.23656 0.14706 max eCDF diff........ 0.5536 0.35294 var ratio (Tr/Co)..... 3.2615 1.554 T-test p-value........ 9.2926e-06 0.00024085 KS Bootstrap p-value.. < 2.22e-16 0.02 KS Naive p-value...... 3.1028e-07 0.028951 KS Statistic.......... 0.5536 0.35294 Before Matching Minimum p.value: < 2.22e-16 Variable Name(s): pcgsdp pfemale plit pwlit prural Number(s): 2 3 4 5 6 After Matching Minimum p.value: < 2.22e-16 Variable Name(s): pcgsdp Number(s): 2
attach(before.data)
X = cbind(state, pcgsdp, pfemale, plit, pwlit, prural)
X.all = cbind(state, pcgsdp, pfemale, plit, pwlit, prural, state^2, pcgsdp^2, pfemale^2, plit^2, pwlit^2, prural^2,
state*pcgsdp, state*pfemale, state*plit, state*pwlit, state*prural,
pcgsdp*pfemale, pcgsdp*plit, pcgsdp*pwlit, pcgsdp*prural,
pfemale*plit, pfemale*pwlit, pfemale*prural, plit*pwlit, plit*prural, pwlit*prural)
Tr = treat
Y = pcr_womtot
detach(before.data)
The following object is masked _by_ .GlobalEnv: X
genout = GenMatch(Tr = Tr, X = X, M=1, pop.size = 250,
max.generations = 20, wait.generations = 25,
exact = c(T, F, F, F, F, F))
mout = Match(Tr = Tr, X = X, M=1, Weight.matrix = genout,
exact = c(T, F, F, F, F, F))
summary(mout)
mb <- MatchBalance(treat ~ state + pcgsdp + pfemale + plit + pwlit + prural, data=before.data, match.out=mout, nboots=500)
Fri Dec 20 10:15:55 2019 Domains: 0.000000e+00 <= X1 <= 1.000000e+03 0.000000e+00 <= X2 <= 1.000000e+03 0.000000e+00 <= X3 <= 1.000000e+03 0.000000e+00 <= X4 <= 1.000000e+03 0.000000e+00 <= X5 <= 1.000000e+03 0.000000e+00 <= X6 <= 1.000000e+03 Data Type: Floating Point Operators (code number, name, population) (1) Cloning........................... 30 (2) Uniform Mutation.................. 31 (3) Boundary Mutation................. 31 (4) Non-Uniform Mutation.............. 31 (5) Polytope Crossover................ 31 (6) Simple Crossover.................. 32 (7) Whole Non-Uniform Mutation........ 31 (8) Heuristic Crossover............... 32 (9) Local-Minimum Crossover........... 0 SOFT Maximum Number of Generations: 20 Maximum Nonchanging Generations: 25 Population size : 250 Convergence Tolerance: 1.000000e-03 Not Using the BFGS Derivative Based Optimizer on the Best Individual Each Generation. Not Checking Gradients before Stopping. Using Out of Bounds Individuals. Maximization Problem. GENERATION: 0 (initializing the population) Lexical Fit..... 5.681661e-07 7.457105e-07 2.005396e-06 1.117432e-05 2.123067e-02 5.035351e-02 1.090329e-01 1.090329e-01 2.153739e-01 4.067936e-01 1.000000e+00 1.000000e+00 #unique......... 250, #Total UniqueCount: 250 var 1: best............ 7.241435e+02 mean............ 4.909806e+02 variance........ 7.784093e+04 var 2: best............ 2.952383e+02 mean............ 5.258769e+02 variance........ 8.721967e+04 var 3: best............ 2.034740e+02 mean............ 4.967395e+02 variance........ 8.414962e+04 var 4: best............ 7.858773e+02 mean............ 5.224222e+02 variance........ 7.806885e+04 var 5: best............ 1.240093e+02 mean............ 5.326944e+02 variance........ 7.761485e+04 var 6: best............ 6.755669e+02 mean............ 5.092808e+02 variance........ 9.450652e+04 GENERATION: 1 Lexical Fit..... 5.681661e-07 7.457105e-07 2.005396e-06 1.117432e-05 2.123067e-02 5.035351e-02 1.090329e-01 1.090329e-01 2.153739e-01 4.067936e-01 1.000000e+00 1.000000e+00 #unique......... 186, #Total UniqueCount: 436 var 1: best............ 7.241435e+02 mean............ 6.590886e+02 variance........ 5.243539e+04 var 2: best............ 2.952383e+02 mean............ 2.407733e+02 variance........ 2.013411e+04 var 3: best............ 2.034740e+02 mean............ 3.058430e+02 variance........ 4.031019e+04 var 4: best............ 7.858773e+02 mean............ 6.592884e+02 variance........ 3.616959e+04 var 5: best............ 1.240093e+02 mean............ 3.804238e+02 variance........ 8.334957e+04 var 6: best............ 6.755669e+02 mean............ 6.614263e+02 variance........ 4.336604e+04 GENERATION: 2 Lexical Fit..... 5.681661e-07 7.457105e-07 2.005396e-06 1.117432e-05 2.123067e-02 5.035351e-02 1.090329e-01 1.090329e-01 2.153739e-01 4.067936e-01 1.000000e+00 1.000000e+00 #unique......... 178, #Total UniqueCount: 614 var 1: best............ 7.241435e+02 mean............ 6.604761e+02 variance........ 5.731195e+04 var 2: best............ 2.952383e+02 mean............ 2.222245e+02 variance........ 1.884533e+04 var 3: best............ 2.034740e+02 mean............ 3.148562e+02 variance........ 3.864256e+04 var 4: best............ 7.858773e+02 mean............ 6.504772e+02 variance........ 3.081858e+04 var 5: best............ 1.240093e+02 mean............ 3.919682e+02 variance........ 7.718485e+04 var 6: best............ 6.755669e+02 mean............ 6.518995e+02 variance........ 4.833318e+04 GENERATION: 3 Lexical Fit..... 5.681661e-07 7.457105e-07 2.005396e-06 1.117432e-05 2.123067e-02 5.035351e-02 1.090329e-01 1.090329e-01 2.153739e-01 4.067936e-01 1.000000e+00 1.000000e+00 #unique......... 174, #Total UniqueCount: 788 var 1: best............ 7.241435e+02 mean............ 6.696878e+02 variance........ 5.366355e+04 var 2: best............ 2.952383e+02 mean............ 2.356209e+02 variance........ 1.711843e+04 var 3: best............ 2.034740e+02 mean............ 3.031577e+02 variance........ 3.652508e+04 var 4: best............ 7.858773e+02 mean............ 6.655973e+02 variance........ 3.413413e+04 var 5: best............ 1.240093e+02 mean............ 3.336753e+02 variance........ 7.228644e+04 var 6: best............ 6.755669e+02 mean............ 6.689049e+02 variance........ 3.982166e+04 GENERATION: 4 Lexical Fit..... 5.681661e-07 7.457105e-07 2.005396e-06 1.117432e-05 2.123067e-02 5.035351e-02 1.090329e-01 1.090329e-01 2.153739e-01 4.067936e-01 1.000000e+00 1.000000e+00 #unique......... 160, #Total UniqueCount: 948 var 1: best............ 7.241435e+02 mean............ 6.538115e+02 variance........ 5.700729e+04 var 2: best............ 2.952383e+02 mean............ 2.398456e+02 variance........ 2.307843e+04 var 3: best............ 2.034740e+02 mean............ 3.146023e+02 variance........ 3.753382e+04 var 4: best............ 7.858773e+02 mean............ 6.627637e+02 variance........ 3.222735e+04 var 5: best............ 1.240093e+02 mean............ 3.895853e+02 variance........ 7.975268e+04 var 6: best............ 6.755669e+02 mean............ 6.760671e+02 variance........ 3.857018e+04 GENERATION: 5 Lexical Fit..... 5.681661e-07 7.457105e-07 2.005396e-06 1.117432e-05 2.123067e-02 5.035351e-02 1.090329e-01 1.090329e-01 2.153739e-01 4.067936e-01 1.000000e+00 1.000000e+00 #unique......... 159, #Total UniqueCount: 1107 var 1: best............ 7.241435e+02 mean............ 6.672189e+02 variance........ 5.677971e+04 var 2: best............ 2.952383e+02 mean............ 2.337610e+02 variance........ 1.787736e+04 var 3: best............ 2.034740e+02 mean............ 3.101685e+02 variance........ 3.616847e+04 var 4: best............ 7.858773e+02 mean............ 6.699949e+02 variance........ 3.011871e+04 var 5: best............ 1.240093e+02 mean............ 3.642800e+02 variance........ 7.675012e+04 var 6: best............ 6.755669e+02 mean............ 6.818659e+02 variance........ 3.662726e+04 GENERATION: 6 Lexical Fit..... 5.681661e-07 7.457105e-07 2.005396e-06 1.117432e-05 2.123067e-02 5.035351e-02 1.090329e-01 1.090329e-01 2.153739e-01 4.067936e-01 1.000000e+00 1.000000e+00 #unique......... 174, #Total UniqueCount: 1281 var 1: best............ 7.241435e+02 mean............ 6.459780e+02 variance........ 5.743055e+04 var 2: best............ 2.952383e+02 mean............ 2.447678e+02 variance........ 1.847089e+04 var 3: best............ 2.034740e+02 mean............ 2.927697e+02 variance........ 3.600444e+04 var 4: best............ 7.858773e+02 mean............ 6.815540e+02 variance........ 3.051584e+04 var 5: best............ 1.240093e+02 mean............ 3.688461e+02 variance........ 9.183910e+04 var 6: best............ 6.755669e+02 mean............ 6.551814e+02 variance........ 4.377960e+04 GENERATION: 7 Lexical Fit..... 5.681661e-07 7.457105e-07 2.005396e-06 1.117432e-05 2.123067e-02 5.035351e-02 1.090329e-01 1.090329e-01 2.153739e-01 4.067936e-01 1.000000e+00 1.000000e+00 #unique......... 169, #Total UniqueCount: 1450 var 1: best............ 7.241435e+02 mean............ 6.613539e+02 variance........ 5.902825e+04 var 2: best............ 2.952383e+02 mean............ 2.336930e+02 variance........ 1.871719e+04 var 3: best............ 2.034740e+02 mean............ 3.042399e+02 variance........ 3.907653e+04 var 4: best............ 7.858773e+02 mean............ 6.703360e+02 variance........ 2.948157e+04 var 5: best............ 1.240093e+02 mean............ 3.840103e+02 variance........ 8.455122e+04 var 6: best............ 6.755669e+02 mean............ 6.710845e+02 variance........ 4.101206e+04 GENERATION: 8 Lexical Fit..... 5.681661e-07 7.457105e-07 2.005396e-06 1.117432e-05 2.123067e-02 5.035351e-02 1.090329e-01 1.090329e-01 2.153739e-01 4.067936e-01 1.000000e+00 1.000000e+00 #unique......... 158, #Total UniqueCount: 1608 var 1: best............ 7.241435e+02 mean............ 6.624532e+02 variance........ 6.420413e+04 var 2: best............ 2.952383e+02 mean............ 2.287584e+02 variance........ 2.189431e+04 var 3: best............ 2.034740e+02 mean............ 3.190032e+02 variance........ 4.318240e+04 var 4: best............ 7.858773e+02 mean............ 6.561437e+02 variance........ 3.028936e+04 var 5: best............ 1.240093e+02 mean............ 3.884947e+02 variance........ 7.679204e+04 var 6: best............ 6.755669e+02 mean............ 6.787708e+02 variance........ 4.154573e+04 GENERATION: 9 Lexical Fit..... 5.681661e-07 7.457105e-07 2.005396e-06 1.117432e-05 2.123067e-02 5.035351e-02 1.090329e-01 1.090329e-01 2.153739e-01 4.067936e-01 1.000000e+00 1.000000e+00 #unique......... 165, #Total UniqueCount: 1773 var 1: best............ 7.241435e+02 mean............ 6.626961e+02 variance........ 5.896894e+04 var 2: best............ 2.952383e+02 mean............ 2.549946e+02 variance........ 2.766307e+04 var 3: best............ 2.034740e+02 mean............ 3.151362e+02 variance........ 4.083493e+04 var 4: best............ 7.858773e+02 mean............ 6.647228e+02 variance........ 3.315809e+04 var 5: best............ 1.240093e+02 mean............ 3.747990e+02 variance........ 8.193194e+04 var 6: best............ 6.755669e+02 mean............ 6.615045e+02 variance........ 4.473977e+04 GENERATION: 10 Lexical Fit..... 5.681661e-07 7.457105e-07 2.005396e-06 1.117432e-05 2.123067e-02 5.035351e-02 1.090329e-01 1.090329e-01 2.153739e-01 4.067936e-01 1.000000e+00 1.000000e+00 #unique......... 174, #Total UniqueCount: 1947 var 1: best............ 7.241435e+02 mean............ 6.750929e+02 variance........ 6.232763e+04 var 2: best............ 2.952383e+02 mean............ 2.242162e+02 variance........ 2.287161e+04 var 3: best............ 2.034740e+02 mean............ 3.132812e+02 variance........ 4.085516e+04 var 4: best............ 7.858773e+02 mean............ 6.469368e+02 variance........ 3.286276e+04 var 5: best............ 1.240093e+02 mean............ 4.022864e+02 variance........ 8.043515e+04 var 6: best............ 6.755669e+02 mean............ 6.752508e+02 variance........ 4.867932e+04 GENERATION: 11 Lexical Fit..... 5.681661e-07 7.457105e-07 2.005396e-06 1.117432e-05 2.123067e-02 5.035351e-02 1.090329e-01 1.090329e-01 2.153739e-01 4.067936e-01 1.000000e+00 1.000000e+00 #unique......... 161, #Total UniqueCount: 2108 var 1: best............ 7.241435e+02 mean............ 6.833534e+02 variance........ 6.065161e+04 var 2: best............ 2.952383e+02 mean............ 2.222997e+02 variance........ 2.077661e+04 var 3: best............ 2.034740e+02 mean............ 3.187772e+02 variance........ 4.088590e+04 var 4: best............ 7.858773e+02 mean............ 6.575395e+02 variance........ 3.441098e+04 var 5: best............ 1.240093e+02 mean............ 3.773274e+02 variance........ 7.550167e+04 var 6: best............ 6.755669e+02 mean............ 6.830284e+02 variance........ 4.192486e+04 GENERATION: 12 Lexical Fit..... 5.681661e-07 7.457105e-07 2.005396e-06 1.117432e-05 2.123067e-02 5.035351e-02 1.090329e-01 1.090329e-01 2.153739e-01 4.067936e-01 1.000000e+00 1.000000e+00 #unique......... 163, #Total UniqueCount: 2271 var 1: best............ 7.241435e+02 mean............ 6.301394e+02 variance........ 5.645018e+04 var 2: best............ 2.952383e+02 mean............ 2.391058e+02 variance........ 2.002088e+04 var 3: best............ 2.034740e+02 mean............ 2.981591e+02 variance........ 3.936803e+04 var 4: best............ 7.858773e+02 mean............ 6.648763e+02 variance........ 3.172409e+04 var 5: best............ 1.240093e+02 mean............ 4.230420e+02 variance........ 9.443394e+04 var 6: best............ 6.755669e+02 mean............ 6.658389e+02 variance........ 4.184454e+04 GENERATION: 13 Lexical Fit..... 5.681661e-07 7.457105e-07 2.005396e-06 1.117432e-05 2.123067e-02 5.035351e-02 1.090329e-01 1.090329e-01 2.153739e-01 4.067936e-01 1.000000e+00 1.000000e+00 #unique......... 163, #Total UniqueCount: 2434 var 1: best............ 7.241435e+02 mean............ 6.637148e+02 variance........ 6.481022e+04 var 2: best............ 2.952383e+02 mean............ 2.272837e+02 variance........ 1.954588e+04 var 3: best............ 2.034740e+02 mean............ 3.240901e+02 variance........ 4.164470e+04 var 4: best............ 7.858773e+02 mean............ 6.595362e+02 variance........ 3.187203e+04 var 5: best............ 1.240093e+02 mean............ 3.879228e+02 variance........ 7.998485e+04 var 6: best............ 6.755669e+02 mean............ 6.735871e+02 variance........ 4.394647e+04 GENERATION: 14 Lexical Fit..... 5.681661e-07 7.457105e-07 2.005396e-06 1.117432e-05 2.123067e-02 5.035351e-02 1.090329e-01 1.090329e-01 2.153739e-01 4.067936e-01 1.000000e+00 1.000000e+00 #unique......... 170, #Total UniqueCount: 2604 var 1: best............ 7.241435e+02 mean............ 6.686147e+02 variance........ 5.410645e+04 var 2: best............ 2.952383e+02 mean............ 2.333709e+02 variance........ 2.278598e+04 var 3: best............ 2.034740e+02 mean............ 3.076248e+02 variance........ 3.965905e+04 var 4: best............ 7.858773e+02 mean............ 6.568825e+02 variance........ 3.483874e+04 var 5: best............ 1.240093e+02 mean............ 3.652502e+02 variance........ 7.930420e+04 var 6: best............ 6.755669e+02 mean............ 6.748576e+02 variance........ 4.278602e+04 GENERATION: 15 Lexical Fit..... 5.681661e-07 7.457105e-07 2.005396e-06 1.117432e-05 2.123067e-02 5.035351e-02 1.090329e-01 1.090329e-01 2.153739e-01 4.067936e-01 1.000000e+00 1.000000e+00 #unique......... 167, #Total UniqueCount: 2771 var 1: best............ 7.241435e+02 mean............ 6.766635e+02 variance........ 5.727944e+04 var 2: best............ 2.952383e+02 mean............ 2.204165e+02 variance........ 2.122576e+04 var 3: best............ 2.034740e+02 mean............ 3.159570e+02 variance........ 3.967685e+04 var 4: best............ 7.858773e+02 mean............ 6.591430e+02 variance........ 2.994513e+04 var 5: best............ 1.240093e+02 mean............ 3.975550e+02 variance........ 8.551085e+04 var 6: best............ 6.755669e+02 mean............ 6.787561e+02 variance........ 4.475716e+04 GENERATION: 16 Lexical Fit..... 5.681661e-07 7.457105e-07 2.005396e-06 1.117432e-05 2.123067e-02 5.035351e-02 1.090329e-01 1.090329e-01 2.153739e-01 4.067936e-01 1.000000e+00 1.000000e+00 #unique......... 163, #Total UniqueCount: 2934 var 1: best............ 7.241435e+02 mean............ 6.794228e+02 variance........ 5.974849e+04 var 2: best............ 2.952383e+02 mean............ 2.270486e+02 variance........ 2.163209e+04 var 3: best............ 2.034740e+02 mean............ 3.239272e+02 variance........ 4.188718e+04 var 4: best............ 7.858773e+02 mean............ 6.645814e+02 variance........ 2.955000e+04 var 5: best............ 1.240093e+02 mean............ 3.891124e+02 variance........ 8.372103e+04 var 6: best............ 6.755669e+02 mean............ 6.830266e+02 variance........ 4.033989e+04 GENERATION: 17 Lexical Fit..... 5.681661e-07 7.457105e-07 2.005396e-06 1.117432e-05 2.123067e-02 5.035351e-02 1.090329e-01 1.090329e-01 2.153739e-01 4.067936e-01 1.000000e+00 1.000000e+00 #unique......... 162, #Total UniqueCount: 3096 var 1: best............ 7.241435e+02 mean............ 6.366154e+02 variance........ 6.603224e+04 var 2: best............ 2.952383e+02 mean............ 2.349139e+02 variance........ 2.059811e+04 var 3: best............ 2.034740e+02 mean............ 2.986010e+02 variance........ 4.055164e+04 var 4: best............ 7.858773e+02 mean............ 6.655876e+02 variance........ 3.131696e+04 var 5: best............ 1.240093e+02 mean............ 3.881378e+02 variance........ 8.501450e+04 var 6: best............ 6.755669e+02 mean............ 6.512953e+02 variance........ 4.935137e+04 GENERATION: 18 Lexical Fit..... 5.681661e-07 7.457105e-07 2.005396e-06 1.117432e-05 2.123067e-02 5.035351e-02 1.090329e-01 1.090329e-01 2.153739e-01 4.067936e-01 1.000000e+00 1.000000e+00 #unique......... 164, #Total UniqueCount: 3260 var 1: best............ 7.241435e+02 mean............ 7.030267e+02 variance........ 5.297231e+04 var 2: best............ 2.952383e+02 mean............ 2.216912e+02 variance........ 2.573633e+04 var 3: best............ 2.034740e+02 mean............ 3.321767e+02 variance........ 4.135022e+04 var 4: best............ 7.858773e+02 mean............ 6.508065e+02 variance........ 3.570684e+04 var 5: best............ 1.240093e+02 mean............ 3.755232e+02 variance........ 7.745007e+04 var 6: best............ 6.755669e+02 mean............ 6.918886e+02 variance........ 4.074717e+04 GENERATION: 19 Lexical Fit..... 5.681661e-07 7.457105e-07 2.005396e-06 1.117432e-05 2.123067e-02 5.035351e-02 1.090329e-01 1.090329e-01 2.153739e-01 4.067936e-01 1.000000e+00 1.000000e+00 #unique......... 161, #Total UniqueCount: 3421 var 1: best............ 7.241435e+02 mean............ 6.620666e+02 variance........ 5.647818e+04 var 2: best............ 2.952383e+02 mean............ 2.386403e+02 variance........ 2.326338e+04 var 3: best............ 2.034740e+02 mean............ 3.098352e+02 variance........ 3.789291e+04 var 4: best............ 7.858773e+02 mean............ 6.705636e+02 variance........ 2.814224e+04 var 5: best............ 1.240093e+02 mean............ 3.941566e+02 variance........ 8.228592e+04 var 6: best............ 6.755669e+02 mean............ 6.759632e+02 variance........ 3.690275e+04 GENERATION: 20 Lexical Fit..... 5.681661e-07 7.457105e-07 2.005396e-06 1.117432e-05 2.123067e-02 5.035351e-02 1.090329e-01 1.090329e-01 2.153739e-01 4.067936e-01 1.000000e+00 1.000000e+00 #unique......... 176, #Total UniqueCount: 3597 var 1: best............ 7.241435e+02 mean............ 6.513805e+02 variance........ 5.458437e+04 var 2: best............ 2.952383e+02 mean............ 2.451954e+02 variance........ 2.008711e+04 var 3: best............ 2.034740e+02 mean............ 2.984037e+02 variance........ 3.996016e+04 var 4: best............ 7.858773e+02 mean............ 6.838034e+02 variance........ 2.828457e+04 var 5: best............ 1.240093e+02 mean............ 3.860212e+02 variance........ 9.528657e+04 var 6: best............ 6.755669e+02 mean............ 6.637063e+02 variance........ 3.772533e+04 Increasing 'max.generations' limit by 25 generations to 45 because the fitness is still impoving. GENERATION: 21 Lexical Fit..... 5.681661e-07 7.457105e-07 2.005396e-06 1.117432e-05 2.123067e-02 5.035351e-02 1.090329e-01 1.090329e-01 2.153739e-01 4.067936e-01 1.000000e+00 1.000000e+00 #unique......... 162, #Total UniqueCount: 3759 var 1: best............ 7.241435e+02 mean............ 6.663867e+02 variance........ 6.649460e+04 var 2: best............ 2.952383e+02 mean............ 2.270272e+02 variance........ 2.138234e+04 var 3: best............ 2.034740e+02 mean............ 3.184293e+02 variance........ 4.110122e+04 var 4: best............ 7.858773e+02 mean............ 6.564155e+02 variance........ 3.082945e+04 var 5: best............ 1.240093e+02 mean............ 4.041183e+02 variance........ 7.875737e+04 var 6: best............ 6.755669e+02 mean............ 6.983679e+02 variance........ 3.457462e+04 GENERATION: 22 Lexical Fit..... 5.681661e-07 7.457105e-07 2.005396e-06 1.117432e-05 2.123067e-02 5.035351e-02 1.090329e-01 1.090329e-01 2.153739e-01 4.067936e-01 1.000000e+00 1.000000e+00 #unique......... 158, #Total UniqueCount: 3917 var 1: best............ 7.241435e+02 mean............ 6.589007e+02 variance........ 5.434039e+04 var 2: best............ 2.952383e+02 mean............ 2.427935e+02 variance........ 2.055828e+04 var 3: best............ 2.034740e+02 mean............ 2.870378e+02 variance........ 3.932059e+04 var 4: best............ 7.858773e+02 mean............ 6.825743e+02 variance........ 2.885959e+04 var 5: best............ 1.240093e+02 mean............ 3.929032e+02 variance........ 8.706678e+04 var 6: best............ 6.755669e+02 mean............ 6.858223e+02 variance........ 3.663371e+04 GENERATION: 23 Lexical Fit..... 5.681661e-07 7.457105e-07 2.005396e-06 1.117432e-05 2.123067e-02 5.035351e-02 1.090329e-01 1.090329e-01 2.153739e-01 4.067936e-01 1.000000e+00 1.000000e+00 #unique......... 170, #Total UniqueCount: 4087 var 1: best............ 7.241435e+02 mean............ 6.622683e+02 variance........ 5.882352e+04 var 2: best............ 2.952383e+02 mean............ 2.320252e+02 variance........ 2.153107e+04 var 3: best............ 2.034740e+02 mean............ 2.968838e+02 variance........ 3.781825e+04 var 4: best............ 7.858773e+02 mean............ 6.654496e+02 variance........ 3.059723e+04 var 5: best............ 1.240093e+02 mean............ 4.037713e+02 variance........ 9.130898e+04 var 6: best............ 6.755669e+02 mean............ 6.819414e+02 variance........ 3.973774e+04 GENERATION: 24 Lexical Fit..... 5.681661e-07 7.457105e-07 2.005396e-06 1.117432e-05 2.123067e-02 5.035351e-02 1.090329e-01 1.090329e-01 2.153739e-01 4.067936e-01 1.000000e+00 1.000000e+00 #unique......... 165, #Total UniqueCount: 4252 var 1: best............ 7.241435e+02 mean............ 6.583948e+02 variance........ 5.725195e+04 var 2: best............ 2.952383e+02 mean............ 2.479233e+02 variance........ 2.212222e+04 var 3: best............ 2.034740e+02 mean............ 2.966315e+02 variance........ 3.783655e+04 var 4: best............ 7.858773e+02 mean............ 6.707093e+02 variance........ 2.824863e+04 var 5: best............ 1.240093e+02 mean............ 3.737454e+02 variance........ 8.426233e+04 var 6: best............ 6.755669e+02 mean............ 6.575351e+02 variance........ 4.324100e+04 GENERATION: 25 Lexical Fit..... 5.681661e-07 7.457105e-07 2.005396e-06 1.117432e-05 2.123067e-02 5.035351e-02 1.090329e-01 1.090329e-01 2.153739e-01 4.067936e-01 1.000000e+00 1.000000e+00 #unique......... 171, #Total UniqueCount: 4423 var 1: best............ 7.241435e+02 mean............ 6.842619e+02 variance........ 6.546609e+04 var 2: best............ 2.952383e+02 mean............ 2.215692e+02 variance........ 2.483260e+04 var 3: best............ 2.034740e+02 mean............ 3.203411e+02 variance........ 4.023322e+04 var 4: best............ 7.858773e+02 mean............ 6.475078e+02 variance........ 3.153429e+04 var 5: best............ 1.240093e+02 mean............ 4.120610e+02 variance........ 8.211786e+04 var 6: best............ 6.755669e+02 mean............ 7.013180e+02 variance........ 3.748728e+04 GENERATION: 26 Lexical Fit..... 5.681661e-07 7.457105e-07 2.005396e-06 1.117432e-05 2.123067e-02 5.035351e-02 1.090329e-01 1.090329e-01 2.153739e-01 4.067936e-01 1.000000e+00 1.000000e+00 #unique......... 164, #Total UniqueCount: 4587 var 1: best............ 7.241435e+02 mean............ 6.951975e+02 variance........ 5.672273e+04 var 2: best............ 2.952383e+02 mean............ 2.119854e+02 variance........ 2.129900e+04 var 3: best............ 2.034740e+02 mean............ 3.252190e+02 variance........ 3.959972e+04 var 4: best............ 7.858773e+02 mean............ 6.518055e+02 variance........ 2.935928e+04 var 5: best............ 1.240093e+02 mean............ 3.996956e+02 variance........ 7.900184e+04 var 6: best............ 6.755669e+02 mean............ 6.923418e+02 variance........ 4.425540e+04 'wait.generations' limit reached. No significant improvement in 25 generations. Solution Lexical Fitness Value: 5.681661e-07 7.457105e-07 2.005396e-06 1.117432e-05 2.123067e-02 5.035351e-02 1.090329e-01 1.090329e-01 2.153739e-01 4.067936e-01 1.000000e+00 1.000000e+00 Parameters at the Solution: X[ 1] : 7.241435e+02 X[ 2] : 2.952383e+02 X[ 3] : 2.034740e+02 X[ 4] : 7.858773e+02 X[ 5] : 1.240093e+02 X[ 6] : 6.755669e+02 Solution Found Generation 1 Number of Generations Run 26 Fri Dec 20 10:16:19 2019 Total run time : 0 hours 0 minutes and 24 seconds Estimate... 0 SE......... 0 T-stat..... NaN p.val...... NA Original number of observations.............. 70 Original number of treated obs............... 22 Matched number of observations............... 22 Matched number of observations (unweighted). 22 Number of obs dropped by 'exact' or 'caliper' 0 ***** (V1) state ***** Before Matching After Matching mean treatment........ 10.273 10.273 mean control.......... 11.958 10.273 std mean diff......... -61.773 0 mean raw eQQ diff..... 1.7273 0 med raw eQQ diff..... 2 0 max raw eQQ diff..... 5 0 mean eCDF diff........ 0.20833 0 med eCDF diff........ 0.22727 0 max eCDF diff........ 0.37879 0 var ratio (Tr/Co)..... 1.0356 1 T-test p-value........ 0.020505 1 KS Bootstrap p-value.. 0.012 1 KS Naive p-value...... 0.026361 1 KS Statistic.......... 0.37879 0 ***** (V2) pcgsdp ***** Before Matching After Matching mean treatment........ 1.3631 1.3631 mean control.......... 1.2199 1.1971 std mean diff......... 29.002 33.602 mean raw eQQ diff..... 0.17316 0.16722 med raw eQQ diff..... 0.13723 0.15606 max raw eQQ diff..... 0.48856 0.37295 mean eCDF diff........ 0.10181 0.1395 med eCDF diff........ 0.07197 0.13636 max eCDF diff........ 0.27652 0.36364 var ratio (Tr/Co)..... 0.7376 1.235 T-test p-value........ 0.29083 1.1174e-05 KS Bootstrap p-value.. 0.154 0.07 KS Naive p-value...... 0.16118 0.10903 KS Statistic.......... 0.27652 0.36364 ***** (V3) pfemale ***** Before Matching After Matching mean treatment........ 0.96387 0.96387 mean control.......... 0.94051 0.96343 std mean diff......... 54.736 1.0303 mean raw eQQ diff..... 0.024367 0.0016081 med raw eQQ diff..... 0.026087 0.0007568 max raw eQQ diff..... 0.060867 0.0073917 mean eCDF diff........ 0.14713 0.094044 med eCDF diff........ 0.14205 0.090909 max eCDF diff........ 0.36932 0.31818 var ratio (Tr/Co)..... 0.85977 1.0702 T-test p-value........ 0.04404 0.40679 KS Bootstrap p-value.. 0.016 0.134 KS Naive p-value...... 0.023517 0.21537 KS Statistic.......... 0.36932 0.31818 ***** (V4) plit ***** Before Matching After Matching mean treatment........ 0.53846 0.53846 mean control.......... 0.4768 0.51202 std mean diff......... 48.866 20.956 mean raw eQQ diff..... 0.062687 0.026445 med raw eQQ diff..... 0.05157 0.022452 max raw eQQ diff..... 0.24671 0.073748 mean eCDF diff........ 0.17045 0.14263 med eCDF diff........ 0.1714 0.13636 max eCDF diff........ 0.33333 0.45455 var ratio (Tr/Co)..... 1.0596 0.89063 T-test p-value........ 0.062707 7.4571e-07 KS Bootstrap p-value.. 0.048 0.01 KS Naive p-value...... 0.05266 0.021231 KS Statistic.......... 0.33333 0.45455 ***** (V5) pwlit ***** Before Matching After Matching mean treatment........ 0.45226 0.45226 mean control.......... 0.3824 0.42222 std mean diff......... 44.828 19.273 mean raw eQQ diff..... 0.071041 0.030033 med raw eQQ diff..... 0.056334 0.026898 max raw eQQ diff..... 0.31462 0.083025 mean eCDF diff........ 0.15341 0.13009 med eCDF diff........ 0.14773 0.090909 max eCDF diff........ 0.33333 0.40909 var ratio (Tr/Co)..... 1.0848 0.90467 T-test p-value........ 0.085679 5.6817e-07 KS Bootstrap p-value.. 0.046 0.024 KS Naive p-value...... 0.05266 0.050354 KS Statistic.......... 0.33333 0.40909 ***** (V6) prural ***** Before Matching After Matching mean treatment........ 0.71686 0.71686 mean control.......... 0.74083 0.72349 std mean diff......... -32.806 -9.0771 mean raw eQQ diff..... 0.024061 0.0066332 med raw eQQ diff..... 0.020843 0.005777 max raw eQQ diff..... 0.047551 0.016132 mean eCDF diff........ 0.1622 0.11755 med eCDF diff........ 0.15625 0.090909 max eCDF diff........ 0.37879 0.36364 var ratio (Tr/Co)..... 1.0261 1.0561 T-test p-value........ 0.20809 2.0054e-06 KS Bootstrap p-value.. 0.024 0.06 KS Naive p-value...... 0.018529 0.10903 KS Statistic.......... 0.37879 0.36364 Before Matching Minimum p.value: 0.012 Variable Name(s): state Number(s): 1 After Matching Minimum p.value: 5.6817e-07 Variable Name(s): pwlit Number(s): 5
attach(after.data)
X = cbind(state, pcgsdp, pfemale, plit, pwlit, prural)
X.all = cbind(state, pcgsdp, pfemale, plit, pwlit, prural, state^2, pcgsdp^2, pfemale^2, plit^2, pwlit^2, prural^2,
state*pcgsdp, state*pfemale, state*plit, state*pwlit, state*prural,
pcgsdp*pfemale, pcgsdp*plit, pcgsdp*pwlit, pcgsdp*prural,
pfemale*plit, pfemale*pwlit, pfemale*prural, plit*pwlit, plit*prural, pwlit*prural)
Tr = treat
Y = pcr_womtot
detach(after.data)
The following object is masked _by_ .GlobalEnv: X
genout = GenMatch(Tr = Tr, X = X.all, M=1, pop.size = 250,
max.generations = 20, wait.generations = 25)
Fri Dec 20 10:16:20 2019 Domains: 0.000000e+00 <= X1 <= 1.000000e+03 0.000000e+00 <= X2 <= 1.000000e+03 0.000000e+00 <= X3 <= 1.000000e+03 0.000000e+00 <= X4 <= 1.000000e+03 0.000000e+00 <= X5 <= 1.000000e+03 0.000000e+00 <= X6 <= 1.000000e+03 0.000000e+00 <= X7 <= 1.000000e+03 0.000000e+00 <= X8 <= 1.000000e+03 0.000000e+00 <= X9 <= 1.000000e+03 0.000000e+00 <= X10 <= 1.000000e+03 0.000000e+00 <= X11 <= 1.000000e+03 0.000000e+00 <= X12 <= 1.000000e+03 0.000000e+00 <= X13 <= 1.000000e+03 0.000000e+00 <= X14 <= 1.000000e+03 0.000000e+00 <= X15 <= 1.000000e+03 0.000000e+00 <= X16 <= 1.000000e+03 0.000000e+00 <= X17 <= 1.000000e+03 0.000000e+00 <= X18 <= 1.000000e+03 0.000000e+00 <= X19 <= 1.000000e+03 0.000000e+00 <= X20 <= 1.000000e+03 0.000000e+00 <= X21 <= 1.000000e+03 0.000000e+00 <= X22 <= 1.000000e+03 0.000000e+00 <= X23 <= 1.000000e+03 0.000000e+00 <= X24 <= 1.000000e+03 0.000000e+00 <= X25 <= 1.000000e+03 0.000000e+00 <= X26 <= 1.000000e+03 0.000000e+00 <= X27 <= 1.000000e+03 Data Type: Floating Point Operators (code number, name, population) (1) Cloning........................... 30 (2) Uniform Mutation.................. 31 (3) Boundary Mutation................. 31 (4) Non-Uniform Mutation.............. 31 (5) Polytope Crossover................ 31 (6) Simple Crossover.................. 32 (7) Whole Non-Uniform Mutation........ 31 (8) Heuristic Crossover............... 32 (9) Local-Minimum Crossover........... 0 SOFT Maximum Number of Generations: 20 Maximum Nonchanging Generations: 25 Population size : 250 Convergence Tolerance: 1.000000e-03 Not Using the BFGS Derivative Based Optimizer on the Best Individual Each Generation. Not Checking Gradients before Stopping. Using Out of Bounds Individuals. Maximization Problem. GENERATION: 0 (initializing the population) Lexical Fit..... 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 1.110223e-16 1.110223e-16 6.661338e-16 6.661338e-16 2.220446e-15 3.552714e-15 1.121325e-14 2.531308e-14 3.497203e-14 6.772360e-13 1.073586e-12 8.583578e-12 1.354405e-10 1.387955e-09 3.374435e-08 1.985566e-07 4.252923e-07 4.814471e-07 9.257039e-07 9.257039e-07 9.257039e-07 9.257039e-07 1.575224e-06 1.974618e-06 4.127817e-06 1.035784e-05 1.597501e-05 1.697752e-05 1.697752e-05 1.697752e-05 6.440707e-05 2.253712e-04 3.060400e-04 4.089972e-04 7.273922e-04 7.273922e-04 9.521151e-04 1.267778e-03 2.165431e-03 3.624699e-03 5.356821e-02 7.382733e-02 7.580170e-02 7.580170e-02 7.580170e-02 1.039896e-01 6.607681e-01 7.826396e-01 8.257729e-01 #unique......... 250, #Total UniqueCount: 250 var 1: best............ 3.660089e+02 mean............ 4.574686e+02 variance........ 8.253670e+04 var 2: best............ 9.293239e+02 mean............ 4.905441e+02 variance........ 9.210357e+04 var 3: best............ 1.202280e+02 mean............ 4.860566e+02 variance........ 8.070108e+04 var 4: best............ 7.923539e+02 mean............ 4.988409e+02 variance........ 8.597252e+04 var 5: best............ 4.913383e+02 mean............ 4.901057e+02 variance........ 8.822684e+04 var 6: best............ 3.865060e+02 mean............ 4.679510e+02 variance........ 9.060059e+04 var 7: best............ 4.432836e+01 mean............ 4.861251e+02 variance........ 8.162457e+04 var 8: best............ 1.878812e+02 mean............ 5.052935e+02 variance........ 9.016133e+04 var 9: best............ 1.277082e+02 mean............ 5.149091e+02 variance........ 8.148916e+04 var 10: best............ 1.491775e+02 mean............ 5.157701e+02 variance........ 8.322283e+04 var 11: best............ 9.024858e+02 mean............ 4.900504e+02 variance........ 8.743633e+04 var 12: best............ 7.782969e+02 mean............ 4.964674e+02 variance........ 8.529086e+04 var 13: best............ 7.784723e+02 mean............ 4.799689e+02 variance........ 7.476432e+04 var 14: best............ 2.819536e+01 mean............ 4.804005e+02 variance........ 7.613543e+04 var 15: best............ 1.253656e+02 mean............ 4.987383e+02 variance........ 8.382448e+04 var 16: best............ 2.171270e+01 mean............ 4.781416e+02 variance........ 8.464087e+04 var 17: best............ 5.700509e+02 mean............ 5.300420e+02 variance........ 7.610789e+04 var 18: best............ 9.928578e+02 mean............ 4.908752e+02 variance........ 7.948992e+04 var 19: best............ 5.083637e+02 mean............ 5.185900e+02 variance........ 8.070847e+04 var 20: best............ 4.897722e+02 mean............ 5.300550e+02 variance........ 9.133915e+04 var 21: best............ 9.739131e+02 mean............ 4.853462e+02 variance........ 9.237946e+04 var 22: best............ 6.593869e+02 mean............ 4.911900e+02 variance........ 8.220499e+04 var 23: best............ 1.228153e+02 mean............ 5.106356e+02 variance........ 8.323077e+04 var 24: best............ 7.207056e+02 mean............ 5.083510e+02 variance........ 8.951388e+04 var 25: best............ 9.417408e+02 mean............ 4.970107e+02 variance........ 8.864270e+04 var 26: best............ 6.092895e+02 mean............ 4.947803e+02 variance........ 8.605374e+04 var 27: best............ 4.387013e+02 mean............ 4.953023e+02 variance........ 7.772989e+04 GENERATION: 1 Lexical Fit..... 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 1.110223e-16 1.110223e-16 8.881784e-16 1.110223e-15 3.552714e-15 7.993606e-15 1.121325e-14 3.497203e-14 5.773160e-14 1.419309e-12 3.876677e-12 1.604450e-11 2.744680e-10 3.029662e-09 3.374435e-08 2.005139e-07 4.252923e-07 4.814471e-07 9.257039e-07 9.257039e-07 9.257039e-07 9.257039e-07 1.554429e-06 1.974618e-06 4.127817e-06 1.617441e-05 1.697752e-05 1.697752e-05 1.697752e-05 2.259650e-05 6.440707e-05 2.253712e-04 2.786973e-04 4.089972e-04 7.273922e-04 7.273922e-04 8.532785e-04 1.267778e-03 1.267778e-03 2.165431e-03 5.430745e-02 7.485525e-02 7.580170e-02 7.580170e-02 7.580170e-02 1.030776e-01 6.097649e-01 7.954970e-01 8.393559e-01 #unique......... 192, #Total UniqueCount: 442 var 1: best............ 3.660089e+02 mean............ 2.897814e+02 variance........ 3.705490e+04 var 2: best............ 9.293239e+02 mean............ 7.154884e+02 variance........ 5.831407e+04 var 3: best............ 1.202280e+02 mean............ 2.656153e+02 variance........ 4.338019e+04 var 4: best............ 7.923539e+02 mean............ 7.570531e+02 variance........ 3.032220e+04 var 5: best............ 4.913383e+02 mean............ 4.668744e+02 variance........ 3.556404e+04 var 6: best............ 3.865060e+02 mean............ 3.779978e+02 variance........ 3.916436e+04 var 7: best............ 4.432836e+01 mean............ 2.672014e+02 variance........ 7.746227e+04 var 8: best............ 1.878812e+02 mean............ 4.630416e+02 variance........ 8.218963e+04 var 9: best............ 1.277082e+02 mean............ 2.578739e+02 variance........ 3.773728e+04 var 10: best............ 1.491775e+02 mean............ 3.306990e+02 variance........ 6.402559e+04 var 11: best............ 9.024858e+02 mean............ 6.883894e+02 variance........ 5.908710e+04 var 12: best............ 7.782969e+02 mean............ 5.984261e+02 variance........ 5.269298e+04 var 13: best............ 7.784723e+02 mean............ 5.625045e+02 variance........ 6.936394e+04 var 14: best............ 2.819536e+01 mean............ 1.992087e+02 variance........ 4.621086e+04 var 15: best............ 1.253656e+02 mean............ 2.229806e+02 variance........ 4.643956e+04 var 16: best............ 2.171270e+01 mean............ 1.613754e+02 variance........ 3.696767e+04 var 17: best............ 5.700509e+02 mean............ 5.550519e+02 variance........ 4.285627e+04 var 18: best............ 9.928578e+02 mean............ 6.308551e+02 variance........ 1.203393e+05 var 19: best............ 5.083637e+02 mean............ 5.351961e+02 variance........ 3.037122e+04 var 20: best............ 7.780427e+02 mean............ 6.307604e+02 variance........ 4.057538e+04 var 21: best............ 6.191127e+02 mean............ 7.321703e+02 variance........ 7.088536e+04 var 22: best............ 5.316980e+02 mean............ 5.871999e+02 variance........ 2.760165e+04 var 23: best............ 1.945403e+02 mean............ 4.441472e+02 variance........ 1.027444e+05 var 24: best............ 9.680908e+02 mean............ 6.584325e+02 variance........ 4.236766e+04 var 25: best............ 1.719816e+02 mean............ 6.892998e+02 variance........ 8.033946e+04 var 26: best............ 2.666130e+02 mean............ 4.759400e+02 variance........ 4.434528e+04 var 27: best............ 4.936656e+02 mean............ 4.726110e+02 variance........ 3.146903e+04 GENERATION: 2 Lexical Fit..... 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 1.110223e-16 1.110223e-16 1.110223e-15 1.776357e-15 3.552714e-15 1.121325e-14 2.753353e-14 3.497203e-14 2.158274e-13 3.946399e-12 7.877254e-12 3.627543e-11 1.575883e-09 1.159063e-08 3.938530e-08 3.967538e-07 4.252923e-07 7.089656e-07 9.257039e-07 9.257039e-07 9.257039e-07 9.257039e-07 1.974618e-06 2.230901e-06 4.127817e-06 4.168633e-06 5.688693e-06 1.697752e-05 1.697752e-05 1.697752e-05 6.440707e-05 2.253712e-04 3.709957e-04 4.089972e-04 7.273922e-04 7.273922e-04 1.111089e-03 1.267778e-03 1.267778e-03 2.165431e-03 3.167165e-02 4.441303e-02 6.387269e-02 7.580170e-02 7.580170e-02 7.580170e-02 6.223789e-01 8.041329e-01 8.462771e-01 #unique......... 181, #Total UniqueCount: 623 var 1: best............ 3.551944e+02 mean............ 3.628820e+02 variance........ 3.651357e+03 var 2: best............ 8.506254e+02 mean............ 9.041559e+02 variance........ 5.786639e+03 var 3: best............ 7.507560e+01 mean............ 1.375377e+02 variance........ 7.791306e+03 var 4: best............ 7.201089e+02 mean............ 7.697387e+02 variance........ 6.579987e+03 var 5: best............ 4.969453e+02 mean............ 4.978304e+02 variance........ 4.629083e+03 var 6: best............ 5.476728e+02 mean............ 4.056372e+02 variance........ 4.271448e+03 var 7: best............ 4.055478e+01 mean............ 6.941193e+01 variance........ 1.262913e+04 var 8: best............ 8.872319e+01 mean............ 2.027119e+02 variance........ 7.154206e+03 var 9: best............ 5.384960e+01 mean............ 1.415594e+02 variance........ 6.574821e+03 var 10: best............ 1.618133e+02 mean............ 1.703412e+02 variance........ 7.335124e+03 var 11: best............ 6.453827e+02 mean............ 8.669847e+02 variance........ 9.659908e+03 var 12: best............ 6.876431e+02 mean............ 7.576974e+02 variance........ 7.106862e+03 var 13: best............ 7.831241e+02 mean............ 7.626083e+02 variance........ 4.980661e+03 var 14: best............ 2.016812e+01 mean............ 5.529718e+01 variance........ 1.097648e+04 var 15: best............ 1.228302e+02 mean............ 1.443280e+02 variance........ 9.299882e+03 var 16: best............ 2.087983e+01 mean............ 3.851948e+01 variance........ 4.920835e+03 var 17: best............ 5.851313e+02 mean............ 5.697103e+02 variance........ 8.470289e+03 var 18: best............ 9.470211e+02 mean............ 9.327140e+02 variance........ 1.976117e+04 var 19: best............ 5.076942e+02 mean............ 4.923138e+02 variance........ 8.273384e+03 var 20: best............ 7.566603e+02 mean............ 6.052139e+02 variance........ 1.998866e+04 var 21: best............ 6.556506e+02 mean............ 8.186254e+02 variance........ 3.350742e+04 var 22: best............ 5.468898e+02 mean............ 5.725852e+02 variance........ 1.874430e+04 var 23: best............ 1.863820e+02 mean............ 1.656390e+02 variance........ 7.140298e+03 var 24: best............ 9.434444e+02 mean............ 8.604425e+02 variance........ 1.579085e+04 var 25: best............ 1.898540e+02 mean............ 4.395366e+02 variance........ 1.114918e+05 var 26: best............ 3.061104e+02 mean............ 4.086952e+02 variance........ 2.711849e+04 var 27: best............ 5.110440e+02 mean............ 4.906413e+02 variance........ 7.526513e+03 GENERATION: 3 Lexical Fit..... 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 1.110223e-16 1.110223e-16 1.332268e-15 2.220446e-15 3.552714e-15 8.881784e-15 1.121325e-14 3.497203e-14 6.927792e-14 1.025846e-12 1.759481e-12 8.166356e-12 1.009228e-10 9.146965e-10 2.581907e-07 9.257039e-07 9.257039e-07 9.257039e-07 9.257039e-07 1.637724e-06 1.974618e-06 1.974618e-06 2.839498e-06 3.142434e-06 5.078842e-06 8.456373e-06 8.456373e-06 1.553669e-05 3.340340e-05 3.340340e-05 3.340340e-05 1.217034e-04 1.217034e-04 4.089972e-04 6.779445e-04 1.226157e-03 1.267778e-03 1.267778e-03 2.322518e-03 4.327922e-03 5.946011e-03 6.528728e-03 9.558856e-03 3.518054e-02 3.518054e-02 5.216543e-02 4.674646e-01 5.058205e-01 8.668635e-01 #unique......... 174, #Total UniqueCount: 797 var 1: best............ 3.551944e+02 mean............ 3.613538e+02 variance........ 2.734915e+03 var 2: best............ 8.506254e+02 mean............ 8.652406e+02 variance........ 3.958740e+03 var 3: best............ 7.507560e+01 mean............ 1.024346e+02 variance........ 5.401695e+03 var 4: best............ 7.201089e+02 mean............ 7.240654e+02 variance........ 7.315486e+03 var 5: best............ 4.969453e+02 mean............ 4.926647e+02 variance........ 1.776828e+03 var 6: best............ 5.476728e+02 mean............ 4.927173e+02 variance........ 7.093449e+03 var 7: best............ 4.055478e+01 mean............ 5.746528e+01 variance........ 6.261654e+03 var 8: best............ 8.872319e+01 mean............ 1.386806e+02 variance........ 6.230851e+03 var 9: best............ 5.384960e+01 mean............ 9.092575e+01 variance........ 4.770269e+03 var 10: best............ 1.618133e+02 mean............ 1.655067e+02 variance........ 2.851934e+03 var 11: best............ 1.894312e+02 mean............ 7.201214e+02 variance........ 1.888249e+04 var 12: best............ 6.876431e+02 mean............ 7.171783e+02 variance........ 3.871064e+03 var 13: best............ 7.789375e+02 mean............ 7.706509e+02 variance........ 3.106888e+03 var 14: best............ 2.739263e+01 mean............ 4.161389e+01 variance........ 4.788076e+03 var 15: best............ 1.228302e+02 mean............ 1.391813e+02 variance........ 5.779986e+03 var 16: best............ 2.087983e+01 mean............ 3.319644e+01 variance........ 3.725881e+03 var 17: best............ 5.851313e+02 mean............ 5.461061e+02 variance........ 1.011565e+04 var 18: best............ 9.470211e+02 mean............ 9.291460e+02 variance........ 7.764298e+03 var 19: best............ 5.076942e+02 mean............ 5.089788e+02 variance........ 1.637194e+03 var 20: best............ 4.972168e+02 mean............ 6.404998e+02 variance........ 2.042628e+04 var 21: best............ 9.749710e+02 mean............ 7.691185e+02 variance........ 3.277013e+04 var 22: best............ 6.618099e+02 mean............ 5.744819e+02 variance........ 9.247807e+03 var 23: best............ 1.218294e+02 mean............ 1.705375e+02 variance........ 5.777574e+03 var 24: best............ 9.434444e+02 mean............ 9.249702e+02 variance........ 1.001898e+04 var 25: best............ 1.898540e+02 mean............ 2.029456e+02 variance........ 9.646147e+03 var 26: best............ 3.061104e+02 mean............ 3.003308e+02 variance........ 4.431530e+03 var 27: best............ 5.110440e+02 mean............ 5.049076e+02 variance........ 1.313058e+03 GENERATION: 4 Lexical Fit..... 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 1.110223e-16 1.110223e-16 1.332268e-15 2.220446e-15 3.552714e-15 8.881784e-15 1.121325e-14 3.497203e-14 6.927792e-14 1.025846e-12 1.759481e-12 8.166356e-12 1.009228e-10 9.146965e-10 2.581907e-07 9.257039e-07 9.257039e-07 9.257039e-07 9.257039e-07 1.637724e-06 1.974618e-06 1.974618e-06 2.839498e-06 3.142434e-06 5.078842e-06 8.456373e-06 8.456373e-06 1.553669e-05 3.340340e-05 3.340340e-05 3.340340e-05 1.217034e-04 1.217034e-04 4.089972e-04 6.779445e-04 1.226157e-03 1.267778e-03 1.267778e-03 2.322518e-03 4.327922e-03 5.946011e-03 6.528728e-03 9.558856e-03 3.518054e-02 3.518054e-02 5.216543e-02 4.674646e-01 5.058205e-01 8.668635e-01 #unique......... 193, #Total UniqueCount: 990 var 1: best............ 3.551944e+02 mean............ 3.582172e+02 variance........ 2.676596e+03 var 2: best............ 8.506254e+02 mean............ 8.331991e+02 variance........ 3.717904e+03 var 3: best............ 7.507560e+01 mean............ 9.237985e+01 variance........ 6.221144e+03 var 4: best............ 7.201089e+02 mean............ 6.873263e+02 variance........ 5.333085e+03 var 5: best............ 4.969453e+02 mean............ 4.938952e+02 variance........ 4.047131e+03 var 6: best............ 5.476728e+02 mean............ 5.444619e+02 variance........ 4.040652e+03 var 7: best............ 4.055478e+01 mean............ 5.891208e+01 variance........ 3.273648e+03 var 8: best............ 8.872319e+01 mean............ 1.053553e+02 variance........ 5.573677e+03 var 9: best............ 5.384960e+01 mean............ 7.810919e+01 variance........ 8.429505e+03 var 10: best............ 1.618133e+02 mean............ 1.726482e+02 variance........ 4.488133e+03 var 11: best............ 1.894312e+02 mean............ 4.036726e+02 variance........ 4.482253e+04 var 12: best............ 6.876431e+02 mean............ 6.869964e+02 variance........ 1.853409e+03 var 13: best............ 7.789375e+02 mean............ 7.786813e+02 variance........ 5.729798e+03 var 14: best............ 2.739263e+01 mean............ 5.851259e+01 variance........ 6.709332e+03 var 15: best............ 1.228302e+02 mean............ 1.470850e+02 variance........ 6.839067e+03 var 16: best............ 2.087983e+01 mean............ 4.330673e+01 variance........ 8.576359e+03 var 17: best............ 5.851313e+02 mean............ 5.712632e+02 variance........ 3.168245e+03 var 18: best............ 9.470211e+02 mean............ 9.290210e+02 variance........ 5.413747e+03 var 19: best............ 5.076942e+02 mean............ 5.217254e+02 variance........ 3.315462e+03 var 20: best............ 4.972168e+02 mean............ 5.665428e+02 variance........ 1.398040e+04 var 21: best............ 9.749710e+02 mean............ 8.363396e+02 variance........ 2.906282e+04 var 22: best............ 6.618099e+02 mean............ 6.118600e+02 variance........ 7.262127e+03 var 23: best............ 1.218294e+02 mean............ 1.496912e+02 variance........ 4.874476e+03 var 24: best............ 9.434444e+02 mean............ 9.117992e+02 variance........ 5.732855e+03 var 25: best............ 1.898540e+02 mean............ 2.079309e+02 variance........ 4.311647e+03 var 26: best............ 3.061104e+02 mean............ 2.998288e+02 variance........ 4.388075e+03 var 27: best............ 5.110440e+02 mean............ 5.002087e+02 variance........ 3.589570e+03 GENERATION: 5 Lexical Fit..... 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 1.110223e-16 1.110223e-16 1.332268e-15 3.330669e-15 3.552714e-15 1.121325e-14 1.754152e-14 3.497203e-14 1.363354e-13 1.813216e-12 2.867484e-12 1.331513e-11 2.978044e-10 2.201241e-09 1.257855e-07 6.213603e-07 9.257039e-07 9.257039e-07 9.257039e-07 9.257039e-07 9.257039e-07 1.055250e-06 1.499214e-06 1.974618e-06 2.422631e-06 4.127817e-06 7.443816e-06 1.697752e-05 1.697752e-05 1.697752e-05 1.697752e-05 2.253712e-04 2.253712e-04 4.089972e-04 7.273922e-04 1.197433e-03 1.267778e-03 2.013003e-03 3.489649e-03 3.505622e-03 3.624699e-03 5.946011e-03 1.323579e-02 3.518054e-02 3.518054e-02 7.580170e-02 5.383379e-01 5.767612e-01 9.047933e-01 #unique......... 162, #Total UniqueCount: 1152 var 1: best............ 3.551944e+02 mean............ 3.556317e+02 variance........ 1.211115e+03 var 2: best............ 8.506254e+02 mean............ 8.423693e+02 variance........ 2.892056e+03 var 3: best............ 7.507560e+01 mean............ 8.389349e+01 variance........ 2.164145e+03 var 4: best............ 7.201089e+02 mean............ 7.107742e+02 variance........ 4.470143e+03 var 5: best............ 4.969453e+02 mean............ 4.929445e+02 variance........ 1.948889e+03 var 6: best............ 5.476728e+02 mean............ 5.466670e+02 variance........ 1.419860e+03 var 7: best............ 4.055478e+01 mean............ 5.589695e+01 variance........ 6.823972e+03 var 8: best............ 8.872319e+01 mean............ 1.027007e+02 variance........ 3.476316e+03 var 9: best............ 5.384960e+01 mean............ 7.406246e+01 variance........ 9.007070e+03 var 10: best............ 1.618133e+02 mean............ 1.748822e+02 variance........ 3.785131e+03 var 11: best............ 1.587023e+02 mean............ 1.740530e+02 variance........ 4.795663e+03 var 12: best............ 6.876431e+02 mean............ 6.817716e+02 variance........ 1.587375e+03 var 13: best............ 7.789375e+02 mean............ 7.726066e+02 variance........ 2.109403e+03 var 14: best............ 2.739263e+01 mean............ 3.919381e+01 variance........ 5.931829e+03 var 15: best............ 1.228302e+02 mean............ 1.323954e+02 variance........ 4.830833e+03 var 16: best............ 2.087983e+01 mean............ 3.345787e+01 variance........ 5.117811e+03 var 17: best............ 2.574940e+02 mean............ 5.787861e+02 variance........ 1.741674e+03 var 18: best............ 9.565131e+02 mean............ 9.267856e+02 variance........ 1.053358e+04 var 19: best............ 5.076942e+02 mean............ 5.075610e+02 variance........ 2.391820e+03 var 20: best............ 4.972168e+02 mean............ 4.961786e+02 variance........ 1.434294e+03 var 21: best............ 9.749710e+02 mean............ 9.551428e+02 variance........ 7.173458e+03 var 22: best............ 6.618099e+02 mean............ 6.580356e+02 variance........ 1.754622e+03 var 23: best............ 1.218294e+02 mean............ 1.329209e+02 variance........ 2.355794e+03 var 24: best............ 9.434444e+02 mean............ 9.312320e+02 variance........ 3.387635e+03 var 25: best............ 1.898540e+02 mean............ 2.015263e+02 variance........ 3.968503e+03 var 26: best............ 3.061104e+02 mean............ 3.113619e+02 variance........ 1.951982e+03 var 27: best............ 5.110440e+02 mean............ 5.027460e+02 variance........ 2.782647e+03 GENERATION: 6 Lexical Fit..... 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 1.110223e-16 1.110223e-16 1.332268e-15 3.552714e-15 3.996803e-15 1.121325e-14 3.286260e-14 3.497203e-14 2.544631e-13 3.222089e-12 5.001999e-12 2.260347e-11 1.338196e-09 7.656424e-09 5.653575e-08 2.093416e-07 3.258486e-07 4.252923e-07 7.100270e-07 9.257039e-07 9.257039e-07 9.257039e-07 9.257039e-07 1.049519e-06 1.974618e-06 1.974618e-06 3.358808e-06 8.456373e-06 8.456373e-06 8.456373e-06 3.340340e-05 4.089972e-04 4.089972e-04 4.089972e-04 4.089972e-04 5.829066e-04 1.267778e-03 1.791901e-03 2.165431e-03 3.624699e-03 8.279000e-03 1.285139e-02 3.518054e-02 3.518054e-02 3.907535e-02 1.079376e-01 6.194237e-01 6.569819e-01 6.936774e-01 #unique......... 171, #Total UniqueCount: 1323 var 1: best............ 3.551944e+02 mean............ 3.612886e+02 variance........ 2.167190e+03 var 2: best............ 8.506254e+02 mean............ 8.406514e+02 variance........ 4.307838e+03 var 3: best............ 7.507560e+01 mean............ 8.905365e+01 variance........ 5.291584e+03 var 4: best............ 7.201089e+02 mean............ 7.162191e+02 variance........ 1.283398e+03 var 5: best............ 4.969453e+02 mean............ 4.955033e+02 variance........ 5.303542e+02 var 6: best............ 5.476728e+02 mean............ 5.955335e+02 variance........ 2.246858e+04 var 7: best............ 4.055478e+01 mean............ 5.457715e+01 variance........ 5.244298e+03 var 8: best............ 8.872319e+01 mean............ 1.022383e+02 variance........ 4.697799e+03 var 9: best............ 5.384960e+01 mean............ 7.088765e+01 variance........ 7.989746e+03 var 10: best............ 1.618133e+02 mean............ 1.681511e+02 variance........ 2.131297e+03 var 11: best............ 1.587023e+02 mean............ 1.717733e+02 variance........ 4.484073e+03 var 12: best............ 6.876431e+02 mean............ 6.852830e+02 variance........ 9.373039e+02 var 13: best............ 7.789375e+02 mean............ 7.723292e+02 variance........ 2.182975e+03 var 14: best............ 2.739263e+01 mean............ 3.992702e+01 variance........ 5.072339e+03 var 15: best............ 1.228302e+02 mean............ 1.338972e+02 variance........ 3.968620e+03 var 16: best............ 2.087983e+01 mean............ 3.165244e+01 variance........ 3.590308e+03 var 17: best............ 2.574940e+02 mean............ 4.245435e+02 variance........ 3.421582e+04 var 18: best............ 9.565131e+02 mean............ 9.318825e+02 variance........ 1.054218e+04 var 19: best............ 5.076942e+02 mean............ 4.999229e+02 variance........ 1.596559e+03 var 20: best............ 4.972168e+02 mean............ 4.984616e+02 variance........ 1.806450e+03 var 21: best............ 9.749710e+02 mean............ 9.660342e+02 variance........ 3.627421e+03 var 22: best............ 2.176226e+02 mean............ 6.595765e+02 variance........ 1.558192e+03 var 23: best............ 1.218294e+02 mean............ 1.318615e+02 variance........ 3.873497e+03 var 24: best............ 9.434444e+02 mean............ 9.306686e+02 variance........ 5.360039e+03 var 25: best............ 1.898540e+02 mean............ 2.023959e+02 variance........ 3.161540e+03 var 26: best............ 3.061104e+02 mean............ 3.126052e+02 variance........ 2.772313e+03 var 27: best............ 5.110440e+02 mean............ 5.132099e+02 variance........ 2.176604e+03 GENERATION: 7 Lexical Fit..... 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 1.110223e-16 1.110223e-16 1.332268e-15 3.552714e-15 4.884981e-15 5.773160e-15 1.121325e-14 3.497203e-14 4.618528e-14 4.864997e-13 6.412648e-13 3.029577e-12 1.510825e-10 8.115300e-10 1.462365e-08 3.191265e-08 5.078766e-08 8.448847e-08 4.252923e-07 4.561268e-07 7.110591e-07 9.257039e-07 9.257039e-07 9.257039e-07 9.257039e-07 1.974618e-06 1.974618e-06 1.974618e-06 1.974618e-06 2.502379e-06 1.697752e-05 1.217034e-04 2.253712e-04 2.253712e-04 4.089972e-04 5.718314e-04 1.267778e-03 1.957995e-03 3.624699e-03 5.946011e-03 6.849036e-03 9.558856e-03 9.558856e-03 1.229482e-02 7.580170e-02 1.057379e-01 3.947020e-01 4.233159e-01 6.924282e-01 #unique......... 176, #Total UniqueCount: 1499 var 1: best............ 3.461008e+02 mean............ 3.541348e+02 variance........ 1.094559e+03 var 2: best............ 8.417003e+02 mean............ 8.447603e+02 variance........ 1.212428e+03 var 3: best............ 7.273499e+01 mean............ 8.133447e+01 variance........ 2.665933e+03 var 4: best............ 6.454606e+02 mean............ 7.003039e+02 variance........ 5.263384e+03 var 5: best............ 5.000424e+02 mean............ 4.997105e+02 variance........ 1.156378e+03 var 6: best............ 9.123595e+02 mean............ 6.372579e+02 variance........ 2.736150e+04 var 7: best............ 9.002112e+01 mean............ 6.226650e+01 variance........ 5.853869e+03 var 8: best............ 8.866947e+01 mean............ 9.091986e+01 variance........ 2.666321e+02 var 9: best............ 5.381457e+01 mean............ 6.603749e+01 variance........ 4.563377e+03 var 10: best............ 1.652954e+02 mean............ 1.812029e+02 variance........ 6.159690e+03 var 11: best............ 1.618248e+02 mean............ 1.696122e+02 variance........ 1.110902e+03 var 12: best............ 6.898186e+02 mean............ 6.832489e+02 variance........ 4.323734e+03 var 13: best............ 7.718291e+02 mean............ 7.593603e+02 variance........ 3.273798e+03 var 14: best............ 2.763550e+01 mean............ 3.557584e+01 variance........ 1.880051e+03 var 15: best............ 1.227104e+02 mean............ 1.292399e+02 variance........ 2.174162e+03 var 16: best............ 2.109631e+01 mean............ 3.658918e+01 variance........ 7.303994e+03 var 17: best............ 2.908718e+02 mean............ 3.393595e+02 variance........ 2.445601e+04 var 18: best............ 9.553972e+02 mean............ 9.320564e+02 variance........ 1.051589e+04 var 19: best............ 5.040680e+02 mean............ 4.963141e+02 variance........ 3.123827e+03 var 20: best............ 5.014930e+02 mean............ 5.079244e+02 variance........ 2.915236e+03 var 21: best............ 9.750900e+02 mean............ 9.614712e+02 variance........ 5.418079e+03 var 22: best............ 2.620608e+02 mean............ 4.643173e+02 variance........ 4.950958e+04 var 23: best............ 1.220406e+02 mean............ 1.263119e+02 variance........ 5.889752e+02 var 24: best............ 9.424335e+02 mean............ 9.314548e+02 variance........ 5.150126e+03 var 25: best............ 1.904730e+02 mean............ 1.951703e+02 variance........ 9.014808e+02 var 26: best............ 3.051213e+02 mean............ 3.118168e+02 variance........ 2.386174e+03 var 27: best............ 5.113860e+02 mean............ 5.092991e+02 variance........ 1.314989e+03 GENERATION: 8 Lexical Fit..... 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 1.110223e-16 1.110223e-16 1.332268e-15 3.552714e-15 7.105427e-15 1.121325e-14 3.497203e-14 7.460699e-14 4.711787e-13 4.740208e-12 7.671197e-12 2.735479e-11 3.404961e-09 1.019280e-08 1.336421e-08 1.426335e-08 1.459959e-08 3.653356e-08 1.643307e-07 1.914826e-07 2.128563e-07 7.504222e-07 9.257039e-07 9.257039e-07 9.257039e-07 9.257039e-07 9.257039e-07 9.257039e-07 9.257039e-07 1.974618e-06 6.440707e-05 6.440707e-05 1.744015e-04 4.089972e-04 6.182106e-04 7.273922e-04 7.273922e-04 1.267778e-03 1.267778e-03 2.165431e-03 1.505956e-02 1.505956e-02 5.098877e-02 7.580170e-02 8.049107e-02 3.152315e-01 4.070036e-01 5.810068e-01 6.121519e-01 #unique......... 161, #Total UniqueCount: 1660 var 1: best............ 3.461008e+02 mean............ 3.473314e+02 variance........ 4.374019e+02 var 2: best............ 8.417003e+02 mean............ 8.375179e+02 variance........ 2.870733e+03 var 3: best............ 7.273499e+01 mean............ 8.416977e+01 variance........ 3.816395e+03 var 4: best............ 6.454606e+02 mean............ 6.571637e+02 variance........ 2.531250e+03 var 5: best............ 5.000424e+02 mean............ 5.001461e+02 variance........ 1.022098e+03 var 6: best............ 9.123595e+02 mean............ 8.311269e+02 variance........ 2.225398e+04 var 7: best............ 9.002112e+01 mean............ 7.857382e+01 variance........ 1.957656e+03 var 8: best............ 8.818593e+01 mean............ 9.989973e+01 variance........ 6.080876e+03 var 9: best............ 5.349933e+01 mean............ 5.972240e+01 variance........ 2.611241e+03 var 10: best............ 1.966346e+02 mean............ 1.841492e+02 variance........ 5.574334e+03 var 11: best............ 1.899278e+02 mean............ 1.782148e+02 variance........ 5.307514e+03 var 12: best............ 7.093979e+02 mean............ 6.856292e+02 variance........ 3.247720e+03 var 13: best............ 7.078536e+02 mean............ 7.553289e+02 variance........ 2.281756e+03 var 14: best............ 2.982133e+01 mean............ 3.830744e+01 variance........ 5.140679e+03 var 15: best............ 1.216322e+02 mean............ 1.348000e+02 variance........ 5.578581e+03 var 16: best............ 2.109631e+01 mean............ 3.107004e+01 variance........ 5.860816e+03 var 17: best............ 8.775474e+00 mean............ 3.003526e+02 variance........ 5.549587e+03 var 18: best............ 9.553972e+02 mean............ 9.483810e+02 variance........ 2.229865e+03 var 19: best............ 5.040680e+02 mean............ 5.037011e+02 variance........ 2.271829e+03 var 20: best............ 5.014930e+02 mean............ 4.992402e+02 variance........ 1.362240e+03 var 21: best............ 9.750900e+02 mean............ 9.655748e+02 variance........ 2.573186e+03 var 22: best............ 2.620608e+02 mean............ 2.795732e+02 variance........ 7.493317e+03 var 23: best............ 1.220406e+02 mean............ 1.289862e+02 variance........ 2.330519e+03 var 24: best............ 9.424335e+02 mean............ 9.337981e+02 variance........ 2.283852e+03 var 25: best............ 1.904730e+02 mean............ 1.953819e+02 variance........ 2.797247e+03 var 26: best............ 3.051213e+02 mean............ 3.102575e+02 variance........ 2.613774e+03 var 27: best............ 5.113860e+02 mean............ 5.064456e+02 variance........ 1.960433e+03 GENERATION: 9 Lexical Fit..... 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 1.110223e-16 1.110223e-16 1.332268e-15 3.552714e-15 7.993606e-15 1.121325e-14 3.497203e-14 1.398881e-13 8.455459e-13 7.622347e-12 1.165512e-11 4.039147e-11 4.264566e-09 5.103647e-09 5.786891e-09 7.712059e-09 1.548149e-08 2.139293e-08 8.448847e-08 1.014935e-07 1.284614e-07 4.252923e-07 4.252923e-07 4.252923e-07 4.419160e-07 9.257039e-07 9.257039e-07 9.257039e-07 9.257039e-07 1.974618e-06 3.340340e-05 1.008852e-04 1.217034e-04 3.611111e-04 4.089972e-04 7.273922e-04 1.267778e-03 1.267778e-03 1.267778e-03 1.267778e-03 1.505956e-02 1.505956e-02 5.216543e-02 1.654459e-01 2.471588e-01 2.885671e-01 6.375701e-01 6.432204e-01 6.741069e-01 #unique......... 164, #Total UniqueCount: 1824 var 1: best............ 3.461008e+02 mean............ 3.510394e+02 variance........ 1.941180e+03 var 2: best............ 8.417003e+02 mean............ 8.384359e+02 variance........ 7.872845e+02 var 3: best............ 7.273499e+01 mean............ 7.884544e+01 variance........ 2.506612e+03 var 4: best............ 6.454606e+02 mean............ 6.430993e+02 variance........ 1.164103e+03 var 5: best............ 5.000424e+02 mean............ 5.013442e+02 variance........ 1.397235e+03 var 6: best............ 9.123595e+02 mean............ 9.032276e+02 variance........ 4.028614e+03 var 7: best............ 1.708473e+01 mean............ 9.469294e+01 variance........ 4.702503e+03 var 8: best............ 8.818593e+01 mean............ 2.243335e+02 variance........ 6.274540e+04 var 9: best............ 5.349933e+01 mean............ 6.072889e+01 variance........ 1.745791e+03 var 10: best............ 1.966346e+02 mean............ 1.869071e+02 variance........ 3.523344e+03 var 11: best............ 1.899278e+02 mean............ 1.800939e+02 variance........ 3.287148e+03 var 12: best............ 7.093979e+02 mean............ 6.955837e+02 variance........ 1.964529e+03 var 13: best............ 7.078536e+02 mean............ 7.348592e+02 variance........ 4.653510e+03 var 14: best............ 2.982133e+01 mean............ 3.544754e+01 variance........ 4.228041e+03 var 15: best............ 1.216322e+02 mean............ 1.259216e+02 variance........ 9.612240e+02 var 16: best............ 2.109631e+01 mean............ 3.402551e+01 variance........ 5.860820e+03 var 17: best............ 8.775474e+00 mean............ 1.860580e+02 variance........ 1.877459e+04 var 18: best............ 9.553972e+02 mean............ 9.458309e+02 variance........ 3.161237e+03 var 19: best............ 5.040680e+02 mean............ 5.292363e+02 variance........ 1.090532e+04 var 20: best............ 5.014930e+02 mean............ 5.048781e+02 variance........ 1.908264e+03 var 21: best............ 9.750900e+02 mean............ 9.631596e+02 variance........ 6.104325e+03 var 22: best............ 2.620608e+02 mean............ 2.671149e+02 variance........ 1.640262e+03 var 23: best............ 1.220406e+02 mean............ 1.295826e+02 variance........ 4.075502e+03 var 24: best............ 9.424335e+02 mean............ 9.352752e+02 variance........ 1.895770e+03 var 25: best............ 1.904730e+02 mean............ 1.944883e+02 variance........ 8.506756e+02 var 26: best............ 3.051213e+02 mean............ 3.079769e+02 variance........ 1.001972e+03 var 27: best............ 5.113860e+02 mean............ 5.110400e+02 variance........ 1.267468e+03 GENERATION: 10 Lexical Fit..... 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 1.110223e-16 1.110223e-16 2.220446e-16 8.881784e-16 3.552714e-15 1.121325e-14 1.243450e-14 3.497203e-14 3.132161e-12 1.696576e-11 1.425384e-10 2.199048e-10 7.064802e-10 1.980649e-09 4.748436e-09 6.429247e-09 7.111387e-09 4.890058e-08 5.082631e-08 8.448847e-08 1.582142e-07 1.648276e-07 4.252923e-07 4.252923e-07 4.252923e-07 4.894746e-07 9.257039e-07 9.257039e-07 9.257039e-07 9.257039e-07 1.974618e-06 1.697752e-05 3.132464e-05 1.061433e-04 1.217034e-04 2.253712e-04 4.089972e-04 7.273922e-04 1.267778e-03 5.946011e-03 5.946011e-03 1.505956e-02 5.216543e-02 5.216543e-02 1.373304e-01 6.845883e-01 8.674598e-01 9.316348e-01 9.625828e-01 9.634943e-01 #unique......... 164, #Total UniqueCount: 1988 var 1: best............ 3.461008e+02 mean............ 3.483398e+02 variance........ 3.674522e+03 var 2: best............ 8.417003e+02 mean............ 8.296023e+02 variance........ 4.907992e+03 var 3: best............ 7.273499e+01 mean............ 8.518052e+01 variance........ 5.548367e+03 var 4: best............ 6.454606e+02 mean............ 6.378093e+02 variance........ 3.418077e+03 var 5: best............ 5.000424e+02 mean............ 4.978624e+02 variance........ 1.777061e+03 var 6: best............ 9.123595e+02 mean............ 9.052439e+02 variance........ 2.079428e+03 var 7: best............ 9.002112e+01 mean............ 6.329139e+01 variance........ 7.244770e+03 var 8: best............ 8.818593e+01 mean............ 1.244240e+02 variance........ 1.675407e+04 var 9: best............ 5.349933e+01 mean............ 6.147155e+01 variance........ 3.009430e+03 var 10: best............ 1.966346e+02 mean............ 1.982128e+02 variance........ 4.495704e+02 var 11: best............ 1.899278e+02 mean............ 2.050685e+02 variance........ 8.352826e+03 var 12: best............ 7.093979e+02 mean............ 7.085537e+02 variance........ 1.866124e+03 var 13: best............ 2.925077e+02 mean............ 6.989332e+02 variance........ 3.008063e+03 var 14: best............ 2.982133e+01 mean............ 4.269892e+01 variance........ 5.619925e+03 var 15: best............ 1.216322e+02 mean............ 1.405529e+02 variance........ 7.942456e+03 var 16: best............ 2.109631e+01 mean............ 3.779919e+01 variance........ 7.789046e+03 var 17: best............ 8.775474e+00 mean............ 3.412478e+01 variance........ 8.198590e+03 var 18: best............ 9.553972e+02 mean............ 9.502375e+02 variance........ 1.630998e+03 var 19: best............ 5.040680e+02 mean............ 5.055491e+02 variance........ 2.961727e+03 var 20: best............ 9.664172e+02 mean............ 5.751833e+02 variance........ 2.852137e+04 var 21: best............ 9.750900e+02 mean............ 9.645924e+02 variance........ 5.318666e+03 var 22: best............ 2.620608e+02 mean............ 2.692511e+02 variance........ 2.740289e+03 var 23: best............ 1.220406e+02 mean............ 1.383074e+02 variance........ 6.732633e+03 var 24: best............ 9.424335e+02 mean............ 9.288376e+02 variance........ 7.782128e+03 var 25: best............ 1.904730e+02 mean............ 2.021027e+02 variance........ 4.078569e+03 var 26: best............ 3.051213e+02 mean............ 3.089174e+02 variance........ 1.430304e+03 var 27: best............ 5.113860e+02 mean............ 5.066044e+02 variance........ 2.021272e+03 GENERATION: 11 Lexical Fit..... 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 1.110223e-16 1.110223e-16 8.881784e-16 8.881784e-16 3.552714e-15 1.121325e-14 2.153833e-14 3.497203e-14 4.865019e-11 2.000580e-10 8.295673e-10 1.454420e-09 2.584292e-09 6.338690e-09 6.429247e-09 6.777019e-09 1.597617e-08 3.065725e-08 3.370020e-08 8.448847e-08 8.629259e-08 4.252923e-07 4.252923e-07 4.252923e-07 9.257039e-07 9.257039e-07 9.257039e-07 9.257039e-07 1.353863e-06 1.974618e-06 3.694053e-06 4.127817e-06 1.483444e-05 3.340340e-05 4.741250e-05 6.440707e-05 4.089972e-04 1.267778e-03 2.165431e-03 5.946011e-03 1.505956e-02 1.505956e-02 2.325117e-02 2.325117e-02 8.126566e-02 6.211601e-01 6.659768e-01 6.934392e-01 6.986077e-01 8.129350e-01 #unique......... 163, #Total UniqueCount: 2151 var 1: best............ 3.461008e+02 mean............ 3.510611e+02 variance........ 2.550999e+03 var 2: best............ 8.417003e+02 mean............ 8.379853e+02 variance........ 1.608113e+03 var 3: best............ 7.273499e+01 mean............ 8.415832e+01 variance........ 4.793179e+03 var 4: best............ 6.454606e+02 mean............ 6.436900e+02 variance........ 1.651203e+03 var 5: best............ 5.000424e+02 mean............ 4.965077e+02 variance........ 2.217199e+03 var 6: best............ 9.123595e+02 mean............ 9.092159e+02 variance........ 3.543801e+02 var 7: best............ 9.002112e+01 mean............ 6.385154e+01 variance........ 2.533208e+03 var 8: best............ 8.818593e+01 mean............ 1.244054e+02 variance........ 1.652673e+04 var 9: best............ 5.349933e+01 mean............ 6.289937e+01 variance........ 3.882366e+03 var 10: best............ 1.966346e+02 mean............ 2.014384e+02 variance........ 3.232511e+03 var 11: best............ 1.899278e+02 mean............ 1.904006e+02 variance........ 8.305761e+02 var 12: best............ 7.093979e+02 mean............ 7.073229e+02 variance........ 5.925277e+02 var 13: best............ 9.705906e+01 mean............ 5.434971e+02 variance........ 3.764337e+04 var 14: best............ 2.982133e+01 mean............ 3.980633e+01 variance........ 3.132039e+03 var 15: best............ 1.216322e+02 mean............ 1.314363e+02 variance........ 4.742152e+03 var 16: best............ 2.109631e+01 mean............ 3.083203e+01 variance........ 3.922697e+03 var 17: best............ 8.775474e+00 mean............ 3.482287e+01 variance........ 7.623404e+03 var 18: best............ 9.553972e+02 mean............ 9.451128e+02 variance........ 4.169437e+03 var 19: best............ 5.040680e+02 mean............ 4.982302e+02 variance........ 2.202603e+03 var 20: best............ 9.664172e+02 mean............ 7.363967e+02 variance........ 4.718102e+04 var 21: best............ 9.750900e+02 mean............ 9.708636e+02 variance........ 1.258205e+03 var 22: best............ 2.620608e+02 mean............ 2.648924e+02 variance........ 9.968582e+02 var 23: best............ 1.220406e+02 mean............ 1.258960e+02 variance........ 1.111269e+03 var 24: best............ 9.424335e+02 mean............ 9.280198e+02 variance........ 7.615222e+03 var 25: best............ 1.904730e+02 mean............ 1.958257e+02 variance........ 1.818829e+03 var 26: best............ 3.051213e+02 mean............ 3.092702e+02 variance........ 1.163161e+03 var 27: best............ 5.113860e+02 mean............ 5.110473e+02 variance........ 7.286138e+02 GENERATION: 12 Lexical Fit..... 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 1.110223e-16 1.110223e-16 1.332268e-15 1.554312e-15 3.552714e-15 1.121325e-14 2.797762e-14 3.497203e-14 5.623857e-11 2.266887e-10 1.727942e-09 3.419982e-09 5.646420e-09 6.191725e-09 7.666201e-09 1.548149e-08 1.726409e-08 8.448847e-08 1.085740e-07 1.653376e-07 2.578272e-07 4.252923e-07 4.252923e-07 4.252923e-07 9.257039e-07 9.257039e-07 9.257039e-07 9.257039e-07 1.447746e-06 1.974618e-06 4.270445e-06 8.456373e-06 2.728567e-05 6.440707e-05 7.328374e-05 1.217034e-04 4.089972e-04 1.267778e-03 2.165431e-03 5.946011e-03 1.505956e-02 1.505956e-02 2.325117e-02 2.325117e-02 9.437148e-02 5.565128e-01 6.419501e-01 6.687189e-01 6.960586e-01 7.516658e-01 #unique......... 165, #Total UniqueCount: 2316 var 1: best............ 3.461008e+02 mean............ 3.441337e+02 variance........ 9.989267e+02 var 2: best............ 8.417003e+02 mean............ 8.359216e+02 variance........ 2.144952e+03 var 3: best............ 7.273499e+01 mean............ 7.809129e+01 variance........ 2.653860e+03 var 4: best............ 6.454606e+02 mean............ 6.464876e+02 variance........ 1.973718e+03 var 5: best............ 5.000424e+02 mean............ 5.005660e+02 variance........ 2.295269e+03 var 6: best............ 9.123595e+02 mean............ 8.998964e+02 variance........ 5.781898e+03 var 7: best............ 9.002112e+01 mean............ 9.721846e+01 variance........ 4.005662e+03 var 8: best............ 7.924422e+02 mean............ 1.002091e+02 variance........ 4.330501e+03 var 9: best............ 5.349933e+01 mean............ 7.031737e+01 variance........ 7.412344e+03 var 10: best............ 1.966346e+02 mean............ 2.034230e+02 variance........ 3.884584e+03 var 11: best............ 1.899278e+02 mean............ 1.952043e+02 variance........ 2.562941e+03 var 12: best............ 7.093979e+02 mean............ 7.069857e+02 variance........ 8.829229e+02 var 13: best............ 9.705906e+01 mean............ 1.799402e+02 variance........ 1.497850e+04 var 14: best............ 2.982133e+01 mean............ 4.128604e+01 variance........ 6.311398e+03 var 15: best............ 1.216322e+02 mean............ 1.316765e+02 variance........ 4.633819e+03 var 16: best............ 2.109631e+01 mean............ 2.440035e+01 variance........ 8.720964e+02 var 17: best............ 8.775474e+00 mean............ 2.301576e+01 variance........ 5.014129e+03 var 18: best............ 9.553972e+02 mean............ 9.369545e+02 variance........ 1.068774e+04 var 19: best............ 5.040680e+02 mean............ 5.029759e+02 variance........ 1.064666e+03 var 20: best............ 9.664172e+02 mean............ 9.439621e+02 variance........ 7.337834e+03 var 21: best............ 9.750900e+02 mean............ 9.559240e+02 variance........ 1.145908e+04 var 22: best............ 2.620608e+02 mean............ 2.642071e+02 variance........ 1.082939e+03 var 23: best............ 1.220406e+02 mean............ 1.265426e+02 variance........ 1.894189e+03 var 24: best............ 9.424335e+02 mean............ 9.309760e+02 variance........ 4.263799e+03 var 25: best............ 1.904730e+02 mean............ 1.949583e+02 variance........ 1.210957e+03 var 26: best............ 3.051213e+02 mean............ 3.127631e+02 variance........ 3.209422e+03 var 27: best............ 5.113860e+02 mean............ 5.120303e+02 variance........ 1.834668e+03 GENERATION: 13 Lexical Fit..... 0.000000e+00 0.000000e+00 0.000000e+00 1.110223e-16 1.110223e-16 2.220446e-16 1.332268e-15 2.220446e-15 3.552714e-15 1.121325e-14 3.441691e-14 3.497203e-14 2.927547e-11 1.405862e-10 1.135187e-09 1.923572e-09 3.118389e-09 5.352788e-09 6.429247e-09 8.864945e-09 3.233340e-08 8.448847e-08 3.526329e-07 4.252923e-07 4.252923e-07 4.252923e-07 7.000038e-07 7.311414e-07 9.257039e-07 9.257039e-07 9.257039e-07 9.257039e-07 1.021204e-06 1.974618e-06 3.054370e-06 1.697752e-05 5.526466e-05 1.217034e-04 1.217034e-04 1.293604e-04 4.089972e-04 1.267778e-03 2.165431e-03 5.946011e-03 1.505956e-02 1.505956e-02 2.325117e-02 2.325117e-02 1.128073e-01 5.027488e-01 5.798516e-01 6.867848e-01 6.989916e-01 7.137175e-01 #unique......... 167, #Total UniqueCount: 2483 var 1: best............ 3.461008e+02 mean............ 3.507649e+02 variance........ 1.518587e+03 var 2: best............ 8.417003e+02 mean............ 8.305418e+02 variance........ 4.956412e+03 var 3: best............ 7.273499e+01 mean............ 8.817038e+01 variance........ 8.417648e+03 var 4: best............ 6.454606e+02 mean............ 6.421940e+02 variance........ 1.498141e+03 var 5: best............ 5.000424e+02 mean............ 4.986345e+02 variance........ 1.390384e+03 var 6: best............ 9.123595e+02 mean............ 9.080414e+02 variance........ 1.258634e+03 var 7: best............ 5.001815e+01 mean............ 9.573717e+01 variance........ 1.228223e+03 var 8: best............ 8.818593e+01 mean............ 4.079426e+02 variance........ 1.185749e+05 var 9: best............ 5.349933e+01 mean............ 5.699421e+01 variance........ 7.372682e+02 var 10: best............ 1.966346e+02 mean............ 2.040243e+02 variance........ 3.607996e+03 var 11: best............ 1.899278e+02 mean............ 1.942428e+02 variance........ 7.107259e+02 var 12: best............ 7.093979e+02 mean............ 7.053814e+02 variance........ 2.085888e+03 var 13: best............ 1.959876e+01 mean............ 9.124872e+01 variance........ 6.006776e+03 var 14: best............ 2.982133e+01 mean............ 3.544709e+01 variance........ 3.936547e+03 var 15: best............ 1.216322e+02 mean............ 1.265063e+02 variance........ 1.778873e+03 var 16: best............ 2.109631e+01 mean............ 3.011559e+01 variance........ 4.363624e+03 var 17: best............ 8.775474e+00 mean............ 1.649409e+01 variance........ 2.948393e+03 var 18: best............ 9.553972e+02 mean............ 9.423671e+02 variance........ 6.708704e+03 var 19: best............ 5.040680e+02 mean............ 5.081250e+02 variance........ 3.390259e+03 var 20: best............ 9.664172e+02 mean............ 9.582203e+02 variance........ 4.477485e+03 var 21: best............ 9.750900e+02 mean............ 9.707386e+02 variance........ 1.164626e+03 var 22: best............ 2.620608e+02 mean............ 2.707506e+02 variance........ 5.381773e+03 var 23: best............ 1.220406e+02 mean............ 1.320449e+02 variance........ 3.873846e+03 var 24: best............ 9.424335e+02 mean............ 9.367955e+02 variance........ 3.485678e+03 var 25: best............ 1.904730e+02 mean............ 1.997814e+02 variance........ 3.910319e+03 var 26: best............ 3.051213e+02 mean............ 3.079659e+02 variance........ 1.798164e+03 var 27: best............ 5.113860e+02 mean............ 5.121395e+02 variance........ 8.806012e+02 GENERATION: 14 Lexical Fit..... 0.000000e+00 0.000000e+00 0.000000e+00 1.110223e-16 1.110223e-16 4.440892e-16 3.552714e-15 4.440892e-15 4.440892e-15 1.121325e-14 3.497203e-14 7.238654e-14 6.191092e-11 3.119374e-10 1.573602e-09 2.534470e-09 4.165291e-09 6.429247e-09 6.441021e-09 1.192650e-08 8.448847e-08 4.252923e-07 4.252923e-07 4.252923e-07 4.483517e-07 9.257039e-07 9.257039e-07 9.257039e-07 9.257039e-07 1.873829e-06 1.974618e-06 2.392606e-06 3.731448e-06 5.806709e-06 7.515771e-06 3.340340e-05 6.440707e-05 6.440707e-05 1.329733e-04 2.328933e-04 4.089972e-04 1.267778e-03 2.165431e-03 3.624699e-03 9.558856e-03 9.558856e-03 1.505956e-02 1.505956e-02 1.200042e-01 2.510115e-01 3.879032e-01 4.029181e-01 5.786642e-01 6.026297e-01 #unique......... 166, #Total UniqueCount: 2649 var 1: best............ 3.461008e+02 mean............ 3.463794e+02 variance........ 3.339828e+02 var 2: best............ 8.417003e+02 mean............ 8.406203e+02 variance........ 2.289305e+02 var 3: best............ 7.273499e+01 mean............ 1.168756e+02 variance........ 1.897210e+04 var 4: best............ 6.454606e+02 mean............ 6.424652e+02 variance........ 2.305587e+03 var 5: best............ 5.000424e+02 mean............ 4.979297e+02 variance........ 1.593612e+03 var 6: best............ 9.123595e+02 mean............ 9.032402e+02 variance........ 5.398727e+03 var 7: best............ 5.001815e+01 mean............ 7.904585e+01 variance........ 5.057292e+03 var 8: best............ 8.818593e+01 mean............ 4.100609e+02 variance........ 1.189527e+05 var 9: best............ 5.349933e+01 mean............ 6.186623e+01 variance........ 5.707310e+03 var 10: best............ 1.966346e+02 mean............ 1.991725e+02 variance........ 2.241659e+03 var 11: best............ 1.899278e+02 mean............ 1.920704e+02 variance........ 5.475343e+02 var 12: best............ 7.093979e+02 mean............ 7.006694e+02 variance........ 4.796589e+03 var 13: best............ 1.959876e+01 mean............ 6.656824e+01 variance........ 6.274058e+03 var 14: best............ 2.982133e+01 mean............ 4.198931e+01 variance........ 7.240815e+03 var 15: best............ 3.545306e+01 mean............ 1.234145e+02 variance........ 1.706968e+03 var 16: best............ 2.109631e+01 mean............ 3.180048e+01 variance........ 6.976855e+03 var 17: best............ 8.775474e+00 mean............ 1.364604e+01 variance........ 1.289295e+03 var 18: best............ 9.553972e+02 mean............ 9.514019e+02 variance........ 2.718735e+03 var 19: best............ 5.040680e+02 mean............ 5.035797e+02 variance........ 2.340896e+03 var 20: best............ 9.664172e+02 mean............ 9.640033e+02 variance........ 2.219874e+02 var 21: best............ 9.750900e+02 mean............ 9.712847e+02 variance........ 9.784716e+02 var 22: best............ 2.620608e+02 mean............ 3.737097e+02 variance........ 5.894847e+04 var 23: best............ 1.220406e+02 mean............ 1.248154e+02 variance........ 9.006998e+02 var 24: best............ 9.424335e+02 mean............ 9.366827e+02 variance........ 2.404404e+03 var 25: best............ 1.904730e+02 mean............ 1.954749e+02 variance........ 1.831318e+03 var 26: best............ 3.051213e+02 mean............ 3.107532e+02 variance........ 2.940926e+03 var 27: best............ 5.113860e+02 mean............ 5.090600e+02 variance........ 1.606424e+03 GENERATION: 15 Lexical Fit..... 0.000000e+00 0.000000e+00 0.000000e+00 1.110223e-16 1.110223e-16 8.881784e-16 3.552714e-15 4.440892e-15 7.105427e-15 1.121325e-14 3.497203e-14 8.304468e-14 2.336220e-10 1.025385e-09 1.725347e-09 6.429247e-09 8.325448e-09 9.120154e-09 1.605893e-08 3.820043e-08 8.448847e-08 2.651976e-07 4.252923e-07 4.252923e-07 4.252923e-07 9.257039e-07 9.257039e-07 9.257039e-07 9.257039e-07 1.564310e-06 1.974618e-06 2.413143e-06 5.420195e-06 7.460024e-06 1.697752e-05 2.167373e-05 3.340340e-05 3.340340e-05 8.382764e-05 1.444584e-04 4.089972e-04 1.267778e-03 2.165431e-03 2.165431e-03 5.946011e-03 5.946011e-03 9.558856e-03 9.558856e-03 9.081473e-02 1.501808e-01 2.613640e-01 3.010160e-01 4.764592e-01 4.969021e-01 #unique......... 164, #Total UniqueCount: 2813 var 1: best............ 3.461008e+02 mean............ 3.494900e+02 variance........ 2.264989e+03 var 2: best............ 8.417003e+02 mean............ 8.284055e+02 variance........ 6.470920e+03 var 3: best............ 7.273499e+01 mean............ 8.514591e+01 variance........ 5.203361e+03 var 4: best............ 6.454606e+02 mean............ 6.424919e+02 variance........ 3.620784e+03 var 5: best............ 6.807779e+02 mean............ 4.708370e+02 variance........ 1.512921e+04 var 6: best............ 9.123595e+02 mean............ 8.987850e+02 variance........ 8.356867e+03 var 7: best............ 5.001815e+01 mean............ 7.337487e+01 variance........ 1.257460e+04 var 8: best............ 8.818593e+01 mean............ 9.853906e+01 variance........ 4.108490e+03 var 9: best............ 5.349933e+01 mean............ 6.574421e+01 variance........ 4.923583e+03 var 10: best............ 1.966346e+02 mean............ 1.972207e+02 variance........ 7.006746e+02 var 11: best............ 1.899278e+02 mean............ 1.972530e+02 variance........ 2.433584e+03 var 12: best............ 7.093979e+02 mean............ 7.045795e+02 variance........ 3.362637e+03 var 13: best............ 1.959876e+01 mean............ 2.961662e+01 variance........ 3.803065e+03 var 14: best............ 2.982133e+01 mean............ 4.460773e+01 variance........ 6.686788e+03 var 15: best............ 1.309800e-02 mean............ 9.818416e+01 variance........ 9.750006e+03 var 16: best............ 2.109631e+01 mean............ 3.834806e+01 variance........ 9.469558e+03 var 17: best............ 8.775474e+00 mean............ 1.853045e+01 variance........ 3.525501e+03 var 18: best............ 9.553972e+02 mean............ 9.415973e+02 variance........ 7.689901e+03 var 19: best............ 5.040680e+02 mean............ 5.829577e+02 variance........ 2.609796e+04 var 20: best............ 9.664172e+02 mean............ 9.559804e+02 variance........ 3.988205e+03 var 21: best............ 9.750900e+02 mean............ 9.553997e+02 variance........ 7.771810e+03 var 22: best............ 2.620608e+02 mean............ 2.652201e+02 variance........ 2.094725e+03 var 23: best............ 1.220406e+02 mean............ 1.350004e+02 variance........ 5.223628e+03 var 24: best............ 9.424335e+02 mean............ 9.294206e+02 variance........ 5.905396e+03 var 25: best............ 1.904730e+02 mean............ 1.969167e+02 variance........ 2.041505e+03 var 26: best............ 3.051213e+02 mean............ 3.114213e+02 variance........ 2.248273e+03 var 27: best............ 5.113860e+02 mean............ 5.140999e+02 variance........ 2.283541e+03 GENERATION: 16 Lexical Fit..... 0.000000e+00 0.000000e+00 0.000000e+00 1.110223e-16 1.110223e-16 8.881784e-16 3.552714e-15 6.439294e-15 7.327472e-15 1.121325e-14 3.497203e-14 1.052491e-13 4.915512e-11 2.766476e-10 8.817658e-10 2.153524e-09 2.993797e-09 3.940703e-09 6.429247e-09 9.940028e-09 8.448847e-08 4.252923e-07 4.252923e-07 4.252923e-07 9.257039e-07 9.257039e-07 9.257039e-07 9.257039e-07 9.607548e-07 1.864471e-06 1.974618e-06 3.188408e-06 7.452061e-06 1.024305e-05 2.604031e-05 3.340340e-05 6.440707e-05 6.440707e-05 2.602644e-04 4.039378e-04 4.089972e-04 1.267778e-03 2.165431e-03 3.624699e-03 9.558856e-03 9.558856e-03 1.505956e-02 1.505956e-02 1.442087e-01 2.218600e-01 3.635035e-01 3.675548e-01 5.722779e-01 5.968595e-01 #unique......... 155, #Total UniqueCount: 2968 var 1: best............ 2.139305e+02 mean............ 3.450479e+02 variance........ 7.052465e+02 var 2: best............ 8.924996e+02 mean............ 8.334272e+02 variance........ 3.427114e+03 var 3: best............ 1.136399e+02 mean............ 6.898636e+01 variance........ 6.032926e+03 var 4: best............ 6.179413e+02 mean............ 6.420654e+02 variance........ 2.669288e+03 var 5: best............ 5.795375e+02 mean............ 5.672105e+02 variance........ 9.746007e+03 var 6: best............ 9.123595e+02 mean............ 9.040895e+02 variance........ 4.205007e+03 var 7: best............ 5.734357e+01 mean............ 6.151698e+01 variance........ 5.745979e+03 var 8: best............ 7.178651e+01 mean............ 9.624299e+01 variance........ 3.845271e+03 var 9: best............ 2.460378e+02 mean............ 7.310903e+01 variance........ 9.185158e+03 var 10: best............ 1.966346e+02 mean............ 2.128206e+02 variance........ 7.251926e+03 var 11: best............ 5.799510e+02 mean............ 2.105312e+02 variance........ 9.542864e+03 var 12: best............ 8.943366e+02 mean............ 6.938042e+02 variance........ 6.233386e+03 var 13: best............ 1.959876e+01 mean............ 3.632585e+01 variance........ 7.901591e+03 var 14: best............ 2.982133e+01 mean............ 4.572376e+01 variance........ 9.904454e+03 var 15: best............ 3.545306e+01 mean............ 3.429830e+01 variance........ 5.121957e+03 var 16: best............ 2.109631e+01 mean............ 3.163807e+01 variance........ 3.524100e+03 var 17: best............ 8.775474e+00 mean............ 2.336725e+01 variance........ 6.704804e+03 var 18: best............ 8.317360e+02 mean............ 9.441067e+02 variance........ 4.176529e+03 var 19: best............ 4.983533e+02 mean............ 5.028958e+02 variance........ 9.986559e+02 var 20: best............ 8.901518e+02 mean............ 9.517267e+02 variance........ 8.383413e+03 var 21: best............ 9.750900e+02 mean............ 9.516512e+02 variance........ 1.302564e+04 var 22: best............ 2.620608e+02 mean............ 2.646078e+02 variance........ 1.971705e+03 var 23: best............ 1.220406e+02 mean............ 1.329008e+02 variance........ 5.099238e+03 var 24: best............ 8.708384e+02 mean............ 9.274728e+02 variance........ 6.610238e+03 var 25: best............ 4.812697e+02 mean............ 2.019965e+02 variance........ 5.043625e+03 var 26: best............ 3.051213e+02 mean............ 3.111901e+02 variance........ 2.971685e+03 var 27: best............ 1.554725e+02 mean............ 5.110570e+02 variance........ 2.448151e+03 GENERATION: 17 Lexical Fit..... 0.000000e+00 0.000000e+00 0.000000e+00 1.110223e-16 1.110223e-16 3.552714e-15 4.218847e-15 1.121325e-14 1.199041e-14 3.153033e-14 3.497203e-14 2.593481e-13 3.448375e-10 3.627927e-10 1.043599e-09 1.667291e-09 2.479008e-09 1.194385e-08 1.705346e-08 5.179588e-08 8.448847e-08 4.252923e-07 4.252923e-07 4.252923e-07 9.257039e-07 9.257039e-07 9.257039e-07 9.257039e-07 1.974618e-06 6.625842e-06 7.964914e-06 1.881570e-05 2.159746e-05 2.462558e-05 3.340340e-05 6.440707e-05 6.440707e-05 1.113398e-04 4.089972e-04 4.123290e-04 5.252871e-04 1.267778e-03 1.267778e-03 2.165431e-03 3.624699e-03 3.624699e-03 5.946011e-03 5.946011e-03 5.068358e-02 1.094119e-01 1.227917e-01 1.661615e-01 3.938027e-01 4.109834e-01 #unique......... 182, #Total UniqueCount: 3150 var 1: best............ 5.855255e+01 mean............ 3.040512e+02 variance........ 7.616207e+03 var 2: best............ 8.924996e+02 mean............ 8.566440e+02 variance........ 2.054379e+03 var 3: best............ 1.136399e+02 mean............ 6.861564e+01 variance........ 4.931301e+03 var 4: best............ 6.179413e+02 mean............ 6.321967e+02 variance........ 2.873380e+03 var 5: best............ 5.795375e+02 mean............ 5.718088e+02 variance........ 6.683575e+03 var 6: best............ 9.123595e+02 mean............ 9.004361e+02 variance........ 5.387286e+03 var 7: best............ 5.734357e+01 mean............ 6.294110e+01 variance........ 2.953130e+03 var 8: best............ 7.178651e+01 mean............ 8.951386e+01 variance........ 2.995504e+03 var 9: best............ 2.460378e+02 mean............ 1.314940e+02 variance........ 1.013345e+04 var 10: best............ 1.966346e+02 mean............ 2.068008e+02 variance........ 3.454763e+03 var 11: best............ 5.799510e+02 mean............ 3.383259e+02 variance........ 3.720803e+04 var 12: best............ 8.943366e+02 mean............ 7.660706e+02 variance........ 1.148766e+04 var 13: best............ 1.959876e+01 mean............ 2.930341e+01 variance........ 3.172429e+03 var 14: best............ 2.982133e+01 mean............ 4.208394e+01 variance........ 5.346974e+03 var 15: best............ 3.545306e+01 mean............ 3.959998e+01 variance........ 5.514288e+03 var 16: best............ 2.109631e+01 mean............ 3.125104e+01 variance........ 3.842980e+03 var 17: best............ 8.775474e+00 mean............ 1.647647e+01 variance........ 3.174363e+03 var 18: best............ 8.317360e+02 mean............ 9.019024e+02 variance........ 8.148077e+03 var 19: best............ 4.983533e+02 mean............ 4.969277e+02 variance........ 1.804703e+03 var 20: best............ 8.901518e+02 mean............ 9.306711e+02 variance........ 4.715514e+03 var 21: best............ 9.750900e+02 mean............ 9.637668e+02 variance........ 4.723814e+03 var 22: best............ 2.620608e+02 mean............ 2.738712e+02 variance........ 5.741808e+03 var 23: best............ 1.220406e+02 mean............ 1.332319e+02 variance........ 4.407258e+03 var 24: best............ 8.708384e+02 mean............ 9.063279e+02 variance........ 4.709437e+03 var 25: best............ 4.812697e+02 mean............ 2.995745e+02 variance........ 1.959566e+04 var 26: best............ 3.051213e+02 mean............ 3.968074e+02 variance........ 2.806911e+04 var 27: best............ 1.554725e+02 mean............ 3.837157e+02 variance........ 2.836609e+04 GENERATION: 18 Lexical Fit..... 0.000000e+00 0.000000e+00 0.000000e+00 1.110223e-16 1.110223e-16 3.552714e-15 4.218847e-15 1.121325e-14 1.199041e-14 3.153033e-14 3.497203e-14 2.593481e-13 3.448375e-10 3.627927e-10 1.043599e-09 1.667291e-09 2.479008e-09 1.194385e-08 1.705346e-08 5.179588e-08 8.448847e-08 4.252923e-07 4.252923e-07 4.252923e-07 9.257039e-07 9.257039e-07 9.257039e-07 9.257039e-07 1.974618e-06 6.625842e-06 7.964914e-06 1.881570e-05 2.159746e-05 2.462558e-05 3.340340e-05 6.440707e-05 6.440707e-05 1.113398e-04 4.089972e-04 4.123290e-04 5.252871e-04 1.267778e-03 1.267778e-03 2.165431e-03 3.624699e-03 3.624699e-03 5.946011e-03 5.946011e-03 5.068358e-02 1.094119e-01 1.227917e-01 1.661615e-01 3.938027e-01 4.109834e-01 #unique......... 171, #Total UniqueCount: 3321 var 1: best............ 5.855255e+01 mean............ 9.466003e+01 variance........ 9.363924e+03 var 2: best............ 8.924996e+02 mean............ 8.862218e+02 variance........ 2.892216e+03 var 3: best............ 1.136399e+02 mean............ 1.304697e+02 variance........ 6.633980e+03 var 4: best............ 6.179413e+02 mean............ 6.275228e+02 variance........ 2.275438e+03 var 5: best............ 5.795375e+02 mean............ 5.737167e+02 variance........ 3.755086e+03 var 6: best............ 9.123595e+02 mean............ 9.025074e+02 variance........ 4.121995e+03 var 7: best............ 5.734357e+01 mean............ 7.229118e+01 variance........ 7.855708e+03 var 8: best............ 7.178651e+01 mean............ 1.553723e+02 variance........ 3.643958e+04 var 9: best............ 2.460378e+02 mean............ 2.684962e+02 variance........ 4.240443e+03 var 10: best............ 1.966346e+02 mean............ 2.005854e+02 variance........ 1.588946e+03 var 11: best............ 5.799510e+02 mean............ 5.887482e+02 variance........ 4.222759e+03 var 12: best............ 8.943366e+02 mean............ 8.857870e+02 variance........ 5.462223e+03 var 13: best............ 1.959876e+01 mean............ 2.901052e+01 variance........ 4.115707e+03 var 14: best............ 2.982133e+01 mean............ 3.505479e+01 variance........ 1.952095e+03 var 15: best............ 3.545306e+01 mean............ 3.883652e+01 variance........ 8.736273e+02 var 16: best............ 2.109631e+01 mean............ 2.746169e+01 variance........ 1.790367e+03 var 17: best............ 8.775474e+00 mean............ 2.029807e+01 variance........ 5.400012e+03 var 18: best............ 8.317360e+02 mean............ 7.627232e+02 variance........ 2.871303e+04 var 19: best............ 4.983533e+02 mean............ 5.016632e+02 variance........ 8.149255e+02 var 20: best............ 8.901518e+02 mean............ 8.834178e+02 variance........ 3.360929e+03 var 21: best............ 9.750900e+02 mean............ 9.631864e+02 variance........ 6.044041e+03 var 22: best............ 2.620608e+02 mean............ 2.716719e+02 variance........ 4.204826e+03 var 23: best............ 1.220406e+02 mean............ 1.273168e+02 variance........ 2.087939e+03 var 24: best............ 8.708384e+02 mean............ 8.667500e+02 variance........ 1.037918e+03 var 25: best............ 4.812697e+02 mean............ 4.823980e+02 variance........ 5.860455e+03 var 26: best............ 3.051213e+02 mean............ 3.116567e+02 variance........ 7.383853e+03 var 27: best............ 1.554725e+02 mean............ 1.639796e+02 variance........ 7.509379e+03 GENERATION: 19 Lexical Fit..... 0.000000e+00 0.000000e+00 0.000000e+00 1.110223e-16 1.110223e-16 3.552714e-15 4.218847e-15 1.121325e-14 1.199041e-14 3.153033e-14 3.497203e-14 2.593481e-13 3.448375e-10 3.627927e-10 1.043599e-09 1.667291e-09 2.479008e-09 1.194385e-08 1.705346e-08 5.179588e-08 8.448847e-08 4.252923e-07 4.252923e-07 4.252923e-07 9.257039e-07 9.257039e-07 9.257039e-07 9.257039e-07 1.974618e-06 6.625842e-06 7.964914e-06 1.881570e-05 2.159746e-05 2.462558e-05 3.340340e-05 6.440707e-05 6.440707e-05 1.113398e-04 4.089972e-04 4.123290e-04 5.252871e-04 1.267778e-03 1.267778e-03 2.165431e-03 3.624699e-03 3.624699e-03 5.946011e-03 5.946011e-03 5.068358e-02 1.094119e-01 1.227917e-01 1.661615e-01 3.938027e-01 4.109834e-01 #unique......... 176, #Total UniqueCount: 3497 var 1: best............ 5.855255e+01 mean............ 5.250479e+01 variance........ 4.689900e+03 var 2: best............ 8.924996e+02 mean............ 8.881334e+02 variance........ 1.647647e+03 var 3: best............ 1.136399e+02 mean............ 1.236242e+02 variance........ 5.047417e+03 var 4: best............ 6.179413e+02 mean............ 6.150550e+02 variance........ 3.189759e+03 var 5: best............ 5.795375e+02 mean............ 5.736150e+02 variance........ 3.214250e+03 var 6: best............ 9.123595e+02 mean............ 9.058237e+02 variance........ 2.580852e+03 var 7: best............ 5.734357e+01 mean............ 7.044847e+01 variance........ 5.545452e+03 var 8: best............ 7.178651e+01 mean............ 9.222606e+01 variance........ 9.625440e+03 var 9: best............ 2.460378e+02 mean............ 2.523209e+02 variance........ 2.224511e+03 var 10: best............ 1.966346e+02 mean............ 2.030083e+02 variance........ 3.672401e+03 var 11: best............ 5.799510e+02 mean............ 5.783383e+02 variance........ 3.585215e+03 var 12: best............ 8.943366e+02 mean............ 8.872082e+02 variance........ 4.888227e+03 var 13: best............ 1.959876e+01 mean............ 3.102401e+01 variance........ 5.562331e+03 var 14: best............ 2.982133e+01 mean............ 4.763405e+01 variance........ 6.801398e+03 var 15: best............ 3.545306e+01 mean............ 5.755155e+01 variance........ 1.031618e+04 var 16: best............ 2.109631e+01 mean............ 3.538111e+01 variance........ 5.449582e+03 var 17: best............ 8.775474e+00 mean............ 2.833415e+01 variance........ 9.840211e+03 var 18: best............ 8.317360e+02 mean............ 8.156545e+02 variance........ 5.531335e+03 var 19: best............ 4.983533e+02 mean............ 4.975291e+02 variance........ 1.396274e+03 var 20: best............ 8.901518e+02 mean............ 8.853990e+02 variance........ 9.137713e+02 var 21: best............ 9.750900e+02 mean............ 9.626540e+02 variance........ 6.119964e+03 var 22: best............ 2.620608e+02 mean............ 2.678327e+02 variance........ 2.970592e+03 var 23: best............ 1.220406e+02 mean............ 1.330311e+02 variance........ 4.544628e+03 var 24: best............ 8.708384e+02 mean............ 8.547591e+02 variance........ 7.291230e+03 var 25: best............ 4.812697e+02 mean............ 4.811089e+02 variance........ 6.779170e+02 var 26: best............ 3.051213e+02 mean............ 3.119148e+02 variance........ 4.168636e+03 var 27: best............ 1.554725e+02 mean............ 1.625763e+02 variance........ 3.904507e+03 GENERATION: 20 Lexical Fit..... 0.000000e+00 0.000000e+00 0.000000e+00 1.110223e-16 1.110223e-16 3.552714e-15 5.329071e-15 6.661338e-15 1.121325e-14 3.497203e-14 4.884981e-14 2.191580e-13 1.074070e-09 1.212682e-09 3.754238e-09 6.429247e-09 6.919756e-09 1.978169e-08 3.346159e-08 6.682283e-08 8.448847e-08 4.252923e-07 4.252923e-07 4.252923e-07 9.257039e-07 9.257039e-07 9.257039e-07 9.257039e-07 1.459377e-06 1.974618e-06 2.408828e-06 7.456604e-06 8.435402e-06 1.070355e-05 2.813214e-05 3.340340e-05 3.340340e-05 3.340340e-05 2.543777e-04 3.811547e-04 4.089972e-04 1.267778e-03 2.165431e-03 2.165431e-03 5.946011e-03 5.946011e-03 9.558856e-03 9.558856e-03 1.263876e-01 1.440181e-01 2.499032e-01 3.302518e-01 3.998716e-01 4.224374e-01 #unique......... 175, #Total UniqueCount: 3672 var 1: best............ 1.913792e+01 mean............ 5.365062e+01 variance........ 5.338756e+03 var 2: best............ 8.925004e+02 mean............ 8.888577e+02 variance........ 1.334846e+03 var 3: best............ 1.136423e+02 mean............ 1.164111e+02 variance........ 6.578568e+02 var 4: best............ 6.179373e+02 mean............ 6.201417e+02 variance........ 6.602152e+02 var 5: best............ 5.795372e+02 mean............ 5.801230e+02 variance........ 1.052788e+02 var 6: best............ 9.123595e+02 mean............ 8.980792e+02 variance........ 6.493034e+03 var 7: best............ 5.734397e+01 mean............ 6.513856e+01 variance........ 2.949774e+03 var 8: best............ 7.178651e+01 mean............ 8.019239e+01 variance........ 2.062961e+03 var 9: best............ 7.746980e+02 mean............ 2.512306e+02 variance........ 3.100524e+03 var 10: best............ 1.966342e+02 mean............ 2.004066e+02 variance........ 1.949655e+03 var 11: best............ 5.799542e+02 mean............ 5.793599e+02 variance........ 2.301804e+03 var 12: best............ 8.943366e+02 mean............ 8.811509e+02 variance........ 6.018458e+03 var 13: best............ 1.959876e+01 mean............ 2.398493e+01 variance........ 1.478407e+03 var 14: best............ 2.982995e+01 mean............ 4.388307e+01 variance........ 6.999691e+03 var 15: best............ 3.545306e+01 mean............ 4.367384e+01 variance........ 2.844619e+03 var 16: best............ 2.110198e+01 mean............ 2.605495e+01 variance........ 1.062222e+03 var 17: best............ 8.775398e+00 mean............ 1.758813e+01 variance........ 4.618402e+03 var 18: best............ 8.317360e+02 mean............ 8.194189e+02 variance........ 4.708781e+03 var 19: best............ 4.983533e+02 mean............ 4.980752e+02 variance........ 2.490689e+03 var 20: best............ 8.901450e+02 mean............ 8.814380e+02 variance........ 3.745045e+03 var 21: best............ 9.750866e+02 mean............ 9.661425e+02 variance........ 3.625062e+03 var 22: best............ 2.620642e+02 mean............ 2.653880e+02 variance........ 1.289567e+03 var 23: best............ 1.220406e+02 mean............ 1.303205e+02 variance........ 3.060567e+03 var 24: best............ 8.708384e+02 mean............ 8.632608e+02 variance........ 2.958035e+03 var 25: best............ 4.812721e+02 mean............ 4.849697e+02 variance........ 2.117102e+03 var 26: best............ 3.051199e+02 mean............ 3.072794e+02 variance........ 1.094124e+03 var 27: best............ 1.554725e+02 mean............ 1.645720e+02 variance........ 5.113097e+03 Increasing 'max.generations' limit by 25 generations to 45 because the fitness is still impoving. GENERATION: 21 Lexical Fit..... 0.000000e+00 1.110223e-16 1.110223e-16 2.220446e-16 2.220446e-16 1.776357e-15 3.552714e-15 1.121325e-14 3.497203e-14 4.329870e-14 3.264056e-13 3.952394e-13 5.851754e-09 1.157434e-08 1.790189e-08 2.732019e-08 3.653356e-08 6.295580e-08 8.448847e-08 1.498187e-07 1.529332e-07 4.252923e-07 4.252923e-07 4.252923e-07 8.798614e-07 9.257039e-07 9.257039e-07 9.257039e-07 9.257039e-07 1.974618e-06 1.987690e-06 3.079479e-06 1.566364e-05 1.886744e-05 3.340340e-05 3.340340e-05 3.340340e-05 4.157610e-05 4.089972e-04 4.584860e-04 7.184279e-04 1.267778e-03 2.165431e-03 5.946011e-03 1.505956e-02 1.505956e-02 2.325117e-02 2.325117e-02 1.833246e-01 5.053685e-01 5.159243e-01 5.551105e-01 6.336746e-01 6.819733e-01 #unique......... 182, #Total UniqueCount: 3854 var 1: best............ 1.913792e+01 mean............ 4.137834e+01 variance........ 5.482696e+03 var 2: best............ 8.925004e+02 mean............ 8.777134e+02 variance........ 5.009774e+03 var 3: best............ 8.535008e+02 mean............ 1.329516e+02 variance........ 9.355192e+03 var 4: best............ 6.179373e+02 mean............ 6.076604e+02 variance........ 5.458251e+03 var 5: best............ 5.795372e+02 mean............ 5.791661e+02 variance........ 1.018510e+03 var 6: best............ 9.123595e+02 mean............ 9.063092e+02 variance........ 2.347569e+03 var 7: best............ 5.734397e+01 mean............ 6.972665e+01 variance........ 6.061644e+03 var 8: best............ 7.178651e+01 mean............ 8.893540e+01 variance........ 6.597419e+03 var 9: best............ 7.746980e+02 mean............ 4.531246e+02 variance........ 6.563140e+04 var 10: best............ 1.966342e+02 mean............ 2.087957e+02 variance........ 5.370098e+03 var 11: best............ 5.799542e+02 mean............ 5.775654e+02 variance........ 1.746641e+03 var 12: best............ 8.943366e+02 mean............ 8.787526e+02 variance........ 7.080673e+03 var 13: best............ 1.959876e+01 mean............ 3.640642e+01 variance........ 8.721724e+03 var 14: best............ 2.982995e+01 mean............ 4.474971e+01 variance........ 7.632258e+03 var 15: best............ 3.545306e+01 mean............ 4.636846e+01 variance........ 6.562053e+03 var 16: best............ 2.110198e+01 mean............ 2.995560e+01 variance........ 2.575714e+03 var 17: best............ 8.775398e+00 mean............ 2.486507e+01 variance........ 8.520232e+03 var 18: best............ 8.317360e+02 mean............ 8.183053e+02 variance........ 4.919117e+03 var 19: best............ 4.983533e+02 mean............ 4.953795e+02 variance........ 3.143316e+03 var 20: best............ 8.901450e+02 mean............ 8.711526e+02 variance........ 8.028561e+03 var 21: best............ 9.750866e+02 mean............ 9.642632e+02 variance........ 4.973032e+03 var 22: best............ 2.620642e+02 mean............ 2.697259e+02 variance........ 3.342267e+03 var 23: best............ 1.220406e+02 mean............ 1.293070e+02 variance........ 1.884461e+03 var 24: best............ 8.708384e+02 mean............ 8.600926e+02 variance........ 5.073129e+03 var 25: best............ 4.812721e+02 mean............ 4.846261e+02 variance........ 2.869395e+03 var 26: best............ 3.051199e+02 mean............ 3.082029e+02 variance........ 2.792184e+03 var 27: best............ 1.554725e+02 mean............ 1.675256e+02 variance........ 5.424736e+03 GENERATION: 22 Lexical Fit..... 0.000000e+00 1.110223e-16 1.110223e-16 2.220446e-16 2.220446e-16 1.776357e-15 3.552714e-15 1.121325e-14 3.497203e-14 4.529710e-14 3.410605e-13 4.019007e-13 6.517466e-09 1.286101e-08 1.950254e-08 3.099684e-08 3.653356e-08 6.856439e-08 8.448847e-08 1.659050e-07 1.678040e-07 4.252923e-07 4.252923e-07 4.252923e-07 9.257039e-07 9.257039e-07 9.257039e-07 9.257039e-07 9.527694e-07 1.974618e-06 1.987690e-06 3.366068e-06 1.566364e-05 1.697752e-05 1.883350e-05 3.340340e-05 3.340340e-05 4.162717e-05 4.089972e-04 4.520324e-04 7.059673e-04 1.267778e-03 2.165431e-03 5.946011e-03 1.505956e-02 1.505956e-02 2.325117e-02 2.325117e-02 1.820861e-01 5.040013e-01 5.126679e-01 5.518511e-01 6.343811e-01 6.806536e-01 #unique......... 166, #Total UniqueCount: 4020 var 1: best............ 1.913792e+01 mean............ 4.595033e+01 variance........ 1.474602e+04 var 2: best............ 8.925004e+02 mean............ 7.978148e+02 variance........ 2.999623e+04 var 3: best............ 8.535008e+02 mean............ 4.647940e+02 variance........ 1.081084e+05 var 4: best............ 6.179373e+02 mean............ 6.255227e+02 variance........ 2.112719e+03 var 5: best............ 5.795372e+02 mean............ 5.734560e+02 variance........ 2.265285e+03 var 6: best............ 9.123595e+02 mean............ 9.033187e+02 variance........ 3.611276e+03 var 7: best............ 5.734397e+01 mean............ 7.634661e+01 variance........ 8.376131e+03 var 8: best............ 7.178651e+01 mean............ 8.955716e+01 variance........ 6.818878e+03 var 9: best............ 7.746980e+02 mean............ 7.654192e+02 variance........ 5.297587e+03 var 10: best............ 5.572056e+01 mean............ 2.065002e+02 variance........ 4.745550e+03 var 11: best............ 5.799542e+02 mean............ 5.590556e+02 variance........ 5.174299e+03 var 12: best............ 8.943366e+02 mean............ 8.445607e+02 variance........ 1.002186e+04 var 13: best............ 1.959876e+01 mean............ 3.725945e+01 variance........ 8.783417e+03 var 14: best............ 2.982995e+01 mean............ 4.152352e+01 variance........ 5.382183e+03 var 15: best............ 3.545306e+01 mean............ 5.727074e+01 variance........ 1.216016e+04 var 16: best............ 2.110198e+01 mean............ 3.092295e+01 variance........ 3.811476e+03 var 17: best............ 8.775398e+00 mean............ 2.460364e+01 variance........ 6.670199e+03 var 18: best............ 8.317360e+02 mean............ 8.191429e+02 variance........ 5.983532e+03 var 19: best............ 4.983533e+02 mean............ 5.011822e+02 variance........ 9.776376e+02 var 20: best............ 8.901450e+02 mean............ 7.995604e+02 variance........ 2.672552e+04 var 21: best............ 9.750866e+02 mean............ 9.541485e+02 variance........ 9.947352e+03 var 22: best............ 2.620642e+02 mean............ 2.646081e+02 variance........ 7.127108e+03 var 23: best............ 1.220406e+02 mean............ 1.632007e+02 variance........ 7.352058e+03 var 24: best............ 8.708384e+02 mean............ 7.692551e+02 variance........ 3.568265e+04 var 25: best............ 4.812721e+02 mean............ 4.832568e+02 variance........ 5.106484e+02 var 26: best............ 3.051199e+02 mean............ 3.625338e+02 variance........ 1.394682e+04 var 27: best............ 1.554725e+02 mean............ 1.686468e+02 variance........ 6.946138e+03 GENERATION: 23 Lexical Fit..... 0.000000e+00 1.110223e-16 1.110223e-16 4.440892e-16 4.440892e-16 1.776357e-15 3.552714e-15 1.121325e-14 3.497203e-14 7.038814e-14 5.120349e-13 5.666578e-13 5.589086e-09 7.698300e-09 1.194971e-08 2.367535e-08 3.653356e-08 4.160445e-08 8.448847e-08 9.805071e-08 1.001846e-07 3.116175e-07 4.252923e-07 4.252923e-07 4.252923e-07 9.257039e-07 9.257039e-07 9.257039e-07 9.257039e-07 1.246649e-06 1.974618e-06 3.269727e-06 2.306252e-05 2.822977e-05 3.340340e-05 5.537585e-05 6.440707e-05 6.440707e-05 4.089972e-04 7.027465e-04 1.124665e-03 1.267778e-03 1.267778e-03 9.558856e-03 9.558856e-03 9.558856e-03 3.518054e-02 3.518054e-02 2.325469e-01 6.812027e-01 7.060514e-01 7.289926e-01 7.335321e-01 9.002555e-01 #unique......... 170, #Total UniqueCount: 4190 var 1: best............ 1.913792e+01 mean............ 3.379337e+01 variance........ 8.272073e+03 var 2: best............ 8.925004e+02 mean............ 8.729255e+02 variance........ 9.725368e+03 var 3: best............ 8.535008e+02 mean............ 8.340125e+02 variance........ 1.490268e+04 var 4: best............ 6.179373e+02 mean............ 6.193212e+02 variance........ 1.707951e+03 var 5: best............ 5.795372e+02 mean............ 5.743848e+02 variance........ 2.528854e+03 var 6: best............ 9.123595e+02 mean............ 9.062401e+02 variance........ 2.621606e+03 var 7: best............ 5.734397e+01 mean............ 7.221766e+01 variance........ 7.086491e+03 var 8: best............ 7.178651e+01 mean............ 8.138783e+01 variance........ 5.134617e+03 var 9: best............ 7.746980e+02 mean............ 7.703753e+02 variance........ 1.669554e+03 var 10: best............ 5.572056e+01 mean............ 1.309944e+02 variance........ 5.880685e+03 var 11: best............ 5.799542e+02 mean............ 5.756200e+02 variance........ 2.130892e+03 var 12: best............ 8.943366e+02 mean............ 8.764158e+02 variance........ 8.166008e+03 var 13: best............ 1.959876e+01 mean............ 2.546439e+01 variance........ 2.272202e+03 var 14: best............ 2.982995e+01 mean............ 3.751088e+01 variance........ 3.525191e+03 var 15: best............ 3.545306e+01 mean............ 4.426978e+01 variance........ 3.128699e+03 var 16: best............ 2.110198e+01 mean............ 2.566290e+01 variance........ 1.220883e+03 var 17: best............ 8.775398e+00 mean............ 1.642230e+01 variance........ 3.392138e+03 var 18: best............ 8.317360e+02 mean............ 8.308969e+02 variance........ 5.259518e+02 var 19: best............ 4.983533e+02 mean............ 5.014120e+02 variance........ 2.040493e+03 var 20: best............ 2.177022e+02 mean............ 8.708138e+02 variance........ 8.491231e+03 var 21: best............ 9.750866e+02 mean............ 9.700046e+02 variance........ 2.143746e+03 var 22: best............ 2.620642e+02 mean............ 2.641942e+02 variance........ 1.754632e+03 var 23: best............ 1.220406e+02 mean............ 1.344724e+02 variance........ 5.733625e+03 var 24: best............ 8.708384e+02 mean............ 8.472810e+02 variance........ 1.041672e+04 var 25: best............ 4.812721e+02 mean............ 4.819620e+02 variance........ 5.717124e+02 var 26: best............ 3.051199e+02 mean............ 3.166627e+02 variance........ 3.040744e+03 var 27: best............ 1.554725e+02 mean............ 1.614087e+02 variance........ 2.472774e+03 GENERATION: 24 Lexical Fit..... 0.000000e+00 1.110223e-16 1.110223e-16 4.440892e-16 6.661338e-16 2.442491e-15 3.552714e-15 1.121325e-14 3.497203e-14 8.393286e-14 5.782042e-13 7.196466e-13 2.316843e-09 4.576558e-09 7.967423e-09 1.255542e-08 1.548149e-08 2.996394e-08 6.782847e-08 7.617793e-08 8.448847e-08 2.165888e-07 4.252923e-07 4.252923e-07 4.252923e-07 9.257039e-07 9.257039e-07 9.257039e-07 9.257039e-07 9.386734e-07 1.974618e-06 5.021478e-06 2.957007e-05 3.340340e-05 3.690233e-05 6.933943e-05 1.217034e-04 1.217034e-04 4.089972e-04 9.215574e-04 1.267778e-03 1.267778e-03 1.468230e-03 9.558856e-03 9.558856e-03 9.558856e-03 3.518054e-02 3.518054e-02 2.575748e-01 6.475601e-01 6.761381e-01 7.215330e-01 7.680437e-01 8.465037e-01 #unique......... 181, #Total UniqueCount: 4371 var 1: best............ 1.913792e+01 mean............ 2.789474e+01 variance........ 4.395885e+03 var 2: best............ 8.925004e+02 mean............ 8.832744e+02 variance........ 5.823529e+03 var 3: best............ 8.535008e+02 mean............ 8.499633e+02 variance........ 4.748306e+03 var 4: best............ 6.179373e+02 mean............ 6.170289e+02 variance........ 1.039601e+03 var 5: best............ 5.795372e+02 mean............ 5.797295e+02 variance........ 9.409009e+02 var 6: best............ 9.123595e+02 mean............ 9.062749e+02 variance........ 2.664614e+03 var 7: best............ 5.734397e+01 mean............ 6.149463e+01 variance........ 1.324963e+03 var 8: best............ 7.178651e+01 mean............ 7.728778e+01 variance........ 2.535731e+03 var 9: best............ 7.746980e+02 mean............ 7.747058e+02 variance........ 2.703310e+02 var 10: best............ 5.572056e+01 mean............ 8.044222e+01 variance........ 4.179319e+03 var 11: best............ 5.799542e+02 mean............ 5.764280e+02 variance........ 2.283793e+03 var 12: best............ 8.943366e+02 mean............ 8.892366e+02 variance........ 2.326818e+03 var 13: best............ 1.959876e+01 mean............ 2.666754e+01 variance........ 3.088832e+03 var 14: best............ 2.982995e+01 mean............ 3.560450e+01 variance........ 1.656816e+03 var 15: best............ 3.545306e+01 mean............ 4.157850e+01 variance........ 2.317372e+03 var 16: best............ 2.110198e+01 mean............ 3.083936e+01 variance........ 5.062053e+03 var 17: best............ 8.775398e+00 mean............ 2.046315e+01 variance........ 5.369346e+03 var 18: best............ 8.317360e+02 mean............ 8.221055e+02 variance........ 4.973093e+03 var 19: best............ 4.983533e+02 mean............ 4.976295e+02 variance........ 2.473477e+03 var 20: best............ 2.177022e+02 mean............ 5.883891e+02 variance........ 1.100668e+05 var 21: best............ 9.750866e+02 mean............ 9.670145e+02 variance........ 3.291779e+03 var 22: best............ 2.620642e+02 mean............ 2.726851e+02 variance........ 4.533386e+03 var 23: best............ 1.220406e+02 mean............ 1.322231e+02 variance........ 5.249472e+03 var 24: best............ 8.708384e+02 mean............ 8.666282e+02 variance........ 3.349670e+03 var 25: best............ 4.812721e+02 mean............ 4.844846e+02 variance........ 2.603313e+03 var 26: best............ 8.520080e+02 mean............ 3.092477e+02 variance........ 2.937411e+03 var 27: best............ 1.554725e+02 mean............ 2.815678e+02 variance........ 5.839775e+04 GENERATION: 25 Lexical Fit..... 0.000000e+00 1.110223e-16 1.110223e-16 4.440892e-16 6.661338e-16 2.664535e-15 3.552714e-15 1.121325e-14 3.497203e-14 8.926193e-14 6.081802e-13 7.480683e-13 2.510088e-09 4.970136e-09 8.467371e-09 1.340679e-08 1.548149e-08 3.150572e-08 7.213304e-08 7.946728e-08 8.448847e-08 2.271222e-07 4.252923e-07 4.252923e-07 4.252923e-07 9.257039e-07 9.257039e-07 9.257039e-07 9.257039e-07 9.776246e-07 1.974618e-06 5.021478e-06 2.957007e-05 3.340340e-05 3.690223e-05 6.938182e-05 1.217034e-04 1.217034e-04 4.089972e-04 9.178229e-04 1.267778e-03 1.267778e-03 1.461250e-03 9.558856e-03 9.558856e-03 9.558856e-03 3.518054e-02 3.518054e-02 2.565436e-01 6.451998e-01 6.745095e-01 7.215142e-01 7.680257e-01 8.442581e-01 #unique......... 166, #Total UniqueCount: 4537 var 1: best............ 1.913792e+01 mean............ 2.589885e+01 variance........ 3.032358e+03 var 2: best............ 9.447400e+02 mean............ 8.909243e+02 variance........ 1.799974e+03 var 3: best............ 8.535008e+02 mean............ 8.397812e+02 variance........ 5.603566e+03 var 4: best............ 6.179373e+02 mean............ 6.136006e+02 variance........ 1.973179e+03 var 5: best............ 5.795372e+02 mean............ 5.845066e+02 variance........ 2.914608e+03 var 6: best............ 9.123595e+02 mean............ 9.061203e+02 variance........ 2.222847e+03 var 7: best............ 5.734397e+01 mean............ 6.693330e+01 variance........ 3.721698e+03 var 8: best............ 7.178651e+01 mean............ 8.410072e+01 variance........ 6.023029e+03 var 9: best............ 7.746980e+02 mean............ 7.692752e+02 variance........ 1.965689e+03 var 10: best............ 5.572056e+01 mean............ 6.638100e+01 variance........ 5.695873e+03 var 11: best............ 5.799542e+02 mean............ 5.803142e+02 variance........ 7.406951e+02 var 12: best............ 8.943366e+02 mean............ 8.862221e+02 variance........ 2.714057e+03 var 13: best............ 1.959876e+01 mean............ 3.662913e+01 variance........ 8.654308e+03 var 14: best............ 2.982995e+01 mean............ 4.118621e+01 variance........ 5.326632e+03 var 15: best............ 3.545306e+01 mean............ 4.383296e+01 variance........ 2.695444e+03 var 16: best............ 2.110198e+01 mean............ 3.286453e+01 variance........ 4.315876e+03 var 17: best............ 8.775398e+00 mean............ 1.665896e+01 variance........ 2.733452e+03 var 18: best............ 8.317360e+02 mean............ 8.268907e+02 variance........ 1.597558e+03 var 19: best............ 4.983533e+02 mean............ 4.966479e+02 variance........ 6.190531e+02 var 20: best............ 2.177022e+02 mean............ 2.107075e+02 variance........ 3.632712e+03 var 21: best............ 9.750866e+02 mean............ 9.667790e+02 variance........ 2.336138e+03 var 22: best............ 2.620642e+02 mean............ 2.691104e+02 variance........ 3.758472e+03 var 23: best............ 1.220406e+02 mean............ 1.314755e+02 variance........ 4.165402e+03 var 24: best............ 8.708384e+02 mean............ 8.667531e+02 variance........ 9.203178e+02 var 25: best............ 4.812721e+02 mean............ 4.817544e+02 variance........ 2.323020e+03 var 26: best............ 7.973192e+02 mean............ 5.167978e+02 variance........ 6.716546e+04 var 27: best............ 1.496920e+02 mean............ 1.594828e+02 variance........ 7.409607e+03 GENERATION: 26 Lexical Fit..... 0.000000e+00 1.110223e-16 1.110223e-16 4.440892e-16 6.661338e-16 2.664535e-15 3.552714e-15 1.121325e-14 3.497203e-14 8.926193e-14 6.081802e-13 7.480683e-13 2.510088e-09 4.970136e-09 8.467371e-09 1.340679e-08 1.548149e-08 3.150572e-08 7.213304e-08 7.946728e-08 8.448847e-08 2.271222e-07 4.252923e-07 4.252923e-07 4.252923e-07 9.257039e-07 9.257039e-07 9.257039e-07 9.257039e-07 9.776246e-07 1.974618e-06 5.021478e-06 2.957007e-05 3.340340e-05 3.690223e-05 6.938182e-05 1.217034e-04 1.217034e-04 4.089972e-04 9.178229e-04 1.267778e-03 1.267778e-03 1.461250e-03 9.558856e-03 9.558856e-03 9.558856e-03 3.518054e-02 3.518054e-02 2.565436e-01 6.451998e-01 6.745095e-01 7.215142e-01 7.680257e-01 8.442581e-01 #unique......... 188, #Total UniqueCount: 4725 var 1: best............ 1.913792e+01 mean............ 3.419400e+01 variance........ 7.151394e+03 var 2: best............ 9.447400e+02 mean............ 9.046374e+02 variance........ 6.997888e+03 var 3: best............ 8.535008e+02 mean............ 8.434285e+02 variance........ 4.605288e+03 var 4: best............ 6.179373e+02 mean............ 6.098035e+02 variance........ 2.790597e+03 var 5: best............ 5.795372e+02 mean............ 5.774169e+02 variance........ 2.201163e+03 var 6: best............ 9.123595e+02 mean............ 9.017498e+02 variance........ 5.271424e+03 var 7: best............ 5.734397e+01 mean............ 7.283223e+01 variance........ 8.329191e+03 var 8: best............ 7.178651e+01 mean............ 8.268837e+01 variance........ 3.899598e+03 var 9: best............ 7.746980e+02 mean............ 7.651072e+02 variance........ 3.150385e+03 var 10: best............ 5.572056e+01 mean............ 6.982698e+01 variance........ 6.995371e+03 var 11: best............ 5.799542e+02 mean............ 5.795809e+02 variance........ 6.794123e+02 var 12: best............ 8.943366e+02 mean............ 8.826793e+02 variance........ 5.170458e+03 var 13: best............ 1.959876e+01 mean............ 2.726354e+01 variance........ 3.108394e+03 var 14: best............ 2.982995e+01 mean............ 4.139580e+01 variance........ 4.740558e+03 var 15: best............ 3.545306e+01 mean............ 5.241658e+01 variance........ 8.894817e+03 var 16: best............ 2.110198e+01 mean............ 3.497517e+01 variance........ 5.565293e+03 var 17: best............ 8.775398e+00 mean............ 2.046841e+01 variance........ 5.033065e+03 var 18: best............ 8.317360e+02 mean............ 8.259565e+02 variance........ 2.346585e+03 var 19: best............ 4.983533e+02 mean............ 4.920303e+02 variance........ 1.811564e+03 var 20: best............ 2.177022e+02 mean............ 2.193549e+02 variance........ 2.421416e+03 var 21: best............ 9.750866e+02 mean............ 9.694944e+02 variance........ 1.609915e+03 var 22: best............ 2.620642e+02 mean............ 2.639986e+02 variance........ 9.079069e+02 var 23: best............ 1.220406e+02 mean............ 1.326143e+02 variance........ 5.643110e+03 var 24: best............ 8.708384e+02 mean............ 8.618368e+02 variance........ 2.186151e+03 var 25: best............ 4.812721e+02 mean............ 4.798376e+02 variance........ 2.454167e+03 var 26: best............ 7.973192e+02 mean............ 7.311123e+02 variance........ 1.501780e+04 var 27: best............ 1.496920e+02 mean............ 1.506841e+02 variance........ 1.538412e+03 GENERATION: 27 Lexical Fit..... 0.000000e+00 1.110223e-16 1.110223e-16 4.440892e-16 6.661338e-16 2.664535e-15 3.552714e-15 1.121325e-14 3.497203e-14 8.926193e-14 6.081802e-13 7.480683e-13 2.510088e-09 4.970136e-09 8.467371e-09 1.340679e-08 1.548149e-08 3.150572e-08 7.213304e-08 7.946728e-08 8.448847e-08 2.271222e-07 4.252923e-07 4.252923e-07 4.252923e-07 9.257039e-07 9.257039e-07 9.257039e-07 9.257039e-07 9.776246e-07 1.974618e-06 5.021478e-06 2.957007e-05 3.340340e-05 3.690223e-05 6.938182e-05 1.217034e-04 1.217034e-04 4.089972e-04 9.178229e-04 1.267778e-03 1.267778e-03 1.461250e-03 9.558856e-03 9.558856e-03 9.558856e-03 3.518054e-02 3.518054e-02 2.565436e-01 6.451998e-01 6.745095e-01 7.215142e-01 7.680257e-01 8.442581e-01 #unique......... 191, #Total UniqueCount: 4916 var 1: best............ 1.913792e+01 mean............ 2.666669e+01 variance........ 2.682458e+03 var 2: best............ 9.447400e+02 mean............ 9.323452e+02 variance........ 4.944814e+03 var 3: best............ 8.535008e+02 mean............ 8.426290e+02 variance........ 4.073330e+03 var 4: best............ 6.179373e+02 mean............ 6.110347e+02 variance........ 3.430723e+03 var 5: best............ 5.795372e+02 mean............ 5.799283e+02 variance........ 1.389807e+03 var 6: best............ 9.123595e+02 mean............ 8.953091e+02 variance........ 7.484724e+03 var 7: best............ 5.734397e+01 mean............ 6.571390e+01 variance........ 3.511737e+03 var 8: best............ 7.178651e+01 mean............ 7.978910e+01 variance........ 2.771157e+03 var 9: best............ 7.746980e+02 mean............ 7.692567e+02 variance........ 3.511980e+03 var 10: best............ 5.572056e+01 mean............ 6.905297e+01 variance........ 6.672374e+03 var 11: best............ 5.799542e+02 mean............ 5.806512e+02 variance........ 1.766155e+03 var 12: best............ 8.943366e+02 mean............ 8.881335e+02 variance........ 2.768484e+03 var 13: best............ 1.959876e+01 mean............ 2.996144e+01 variance........ 4.800732e+03 var 14: best............ 2.982995e+01 mean............ 4.121177e+01 variance........ 4.604549e+03 var 15: best............ 3.545306e+01 mean............ 4.604680e+01 variance........ 3.071078e+03 var 16: best............ 2.110198e+01 mean............ 3.740230e+01 variance........ 7.048069e+03 var 17: best............ 8.775398e+00 mean............ 1.775485e+01 variance........ 3.306985e+03 var 18: best............ 8.317360e+02 mean............ 8.217648e+02 variance........ 4.646303e+03 var 19: best............ 4.983533e+02 mean............ 4.991769e+02 variance........ 2.407800e+03 var 20: best............ 2.177022e+02 mean............ 2.208851e+02 variance........ 2.574756e+03 var 21: best............ 9.750866e+02 mean............ 9.558682e+02 variance........ 8.428915e+03 var 22: best............ 2.620642e+02 mean............ 2.680032e+02 variance........ 3.214736e+03 var 23: best............ 1.220406e+02 mean............ 1.332279e+02 variance........ 4.445571e+03 var 24: best............ 8.708384e+02 mean............ 8.588483e+02 variance........ 6.070866e+03 var 25: best............ 4.812721e+02 mean............ 4.805895e+02 variance........ 2.638013e+03 var 26: best............ 7.973192e+02 mean............ 7.902576e+02 variance........ 1.477741e+03 var 27: best............ 1.496920e+02 mean............ 1.574868e+02 variance........ 2.325067e+03 GENERATION: 28 Lexical Fit..... 0.000000e+00 1.110223e-16 1.110223e-16 4.440892e-16 6.661338e-16 2.664535e-15 3.552714e-15 1.121325e-14 3.497203e-14 8.926193e-14 6.081802e-13 7.480683e-13 2.510088e-09 4.970136e-09 8.467371e-09 1.340679e-08 1.548149e-08 3.150572e-08 7.213304e-08 7.946728e-08 8.448847e-08 2.271222e-07 4.252923e-07 4.252923e-07 4.252923e-07 9.257039e-07 9.257039e-07 9.257039e-07 9.257039e-07 9.776246e-07 1.974618e-06 5.021478e-06 2.957007e-05 3.340340e-05 3.690223e-05 6.938182e-05 1.217034e-04 1.217034e-04 4.089972e-04 9.178229e-04 1.267778e-03 1.267778e-03 1.461250e-03 9.558856e-03 9.558856e-03 9.558856e-03 3.518054e-02 3.518054e-02 2.565436e-01 6.451998e-01 6.745095e-01 7.215142e-01 7.680257e-01 8.442581e-01 #unique......... 188, #Total UniqueCount: 5104 var 1: best............ 1.913792e+01 mean............ 3.028226e+01 variance........ 6.456374e+03 var 2: best............ 9.447400e+02 mean............ 9.327376e+02 variance........ 5.365591e+03 var 3: best............ 8.535008e+02 mean............ 8.504875e+02 variance........ 2.388624e+03 var 4: best............ 6.179373e+02 mean............ 6.149559e+02 variance........ 1.394393e+03 var 5: best............ 5.795372e+02 mean............ 5.798219e+02 variance........ 1.327560e+03 var 6: best............ 9.123595e+02 mean............ 9.038472e+02 variance........ 2.846162e+03 var 7: best............ 5.734397e+01 mean............ 6.087369e+01 variance........ 1.141952e+03 var 8: best............ 7.178651e+01 mean............ 8.122241e+01 variance........ 4.415511e+03 var 9: best............ 7.746980e+02 mean............ 7.672848e+02 variance........ 3.794607e+03 var 10: best............ 5.572056e+01 mean............ 6.310339e+01 variance........ 2.549344e+03 var 11: best............ 5.799542e+02 mean............ 5.812423e+02 variance........ 1.135260e+03 var 12: best............ 8.943366e+02 mean............ 8.888254e+02 variance........ 1.578163e+03 var 13: best............ 1.959876e+01 mean............ 2.516630e+01 variance........ 1.336539e+03 var 14: best............ 2.982995e+01 mean............ 4.924286e+01 variance........ 1.132922e+04 var 15: best............ 3.545306e+01 mean............ 4.547472e+01 variance........ 6.191902e+03 var 16: best............ 2.110198e+01 mean............ 3.806979e+01 variance........ 9.429836e+03 var 17: best............ 8.775398e+00 mean............ 1.586590e+01 variance........ 2.344667e+03 var 18: best............ 8.317360e+02 mean............ 8.196901e+02 variance........ 4.956681e+03 var 19: best............ 4.983533e+02 mean............ 4.996871e+02 variance........ 2.639047e+03 var 20: best............ 2.177022e+02 mean............ 2.232946e+02 variance........ 2.880123e+03 var 21: best............ 9.750866e+02 mean............ 9.673030e+02 variance........ 2.917379e+03 var 22: best............ 2.620642e+02 mean............ 2.668244e+02 variance........ 2.274315e+03 var 23: best............ 1.220406e+02 mean............ 1.306286e+02 variance........ 3.725471e+03 var 24: best............ 8.708384e+02 mean............ 8.646432e+02 variance........ 1.743831e+03 var 25: best............ 4.812721e+02 mean............ 4.831013e+02 variance........ 6.098743e+02 var 26: best............ 7.973192e+02 mean............ 7.918873e+02 variance........ 2.490115e+03 var 27: best............ 1.496920e+02 mean............ 1.562560e+02 variance........ 2.997153e+03 GENERATION: 29 Lexical Fit..... 0.000000e+00 1.110223e-16 1.110223e-16 4.440892e-16 6.661338e-16 2.664535e-15 3.552714e-15 1.121325e-14 3.497203e-14 8.926193e-14 6.081802e-13 7.480683e-13 2.510088e-09 4.970136e-09 8.467371e-09 1.340679e-08 1.548149e-08 3.150572e-08 7.213304e-08 7.946728e-08 8.448847e-08 2.271222e-07 4.252923e-07 4.252923e-07 4.252923e-07 9.257039e-07 9.257039e-07 9.257039e-07 9.257039e-07 9.776246e-07 1.974618e-06 5.021478e-06 2.957007e-05 3.340340e-05 3.690223e-05 6.938182e-05 1.217034e-04 1.217034e-04 4.089972e-04 9.178229e-04 1.267778e-03 1.267778e-03 1.461250e-03 9.558856e-03 9.558856e-03 9.558856e-03 3.518054e-02 3.518054e-02 2.565436e-01 6.451998e-01 6.745095e-01 7.215142e-01 7.680257e-01 8.442581e-01 #unique......... 186, #Total UniqueCount: 5290 var 1: best............ 1.913792e+01 mean............ 2.673641e+01 variance........ 1.759576e+03 var 2: best............ 9.447400e+02 mean............ 9.354357e+02 variance........ 3.921320e+03 var 3: best............ 8.535008e+02 mean............ 8.484550e+02 variance........ 1.770136e+03 var 4: best............ 6.179373e+02 mean............ 6.126372e+02 variance........ 3.009551e+03 var 5: best............ 5.795372e+02 mean............ 5.790241e+02 variance........ 2.110461e+03 var 6: best............ 9.123595e+02 mean............ 8.931109e+02 variance........ 9.390140e+03 var 7: best............ 5.734397e+01 mean............ 6.882639e+01 variance........ 3.633617e+03 var 8: best............ 7.178651e+01 mean............ 9.261629e+01 variance........ 1.171844e+04 var 9: best............ 7.746980e+02 mean............ 7.633617e+02 variance........ 4.693904e+03 var 10: best............ 5.572056e+01 mean............ 6.856123e+01 variance........ 5.044068e+03 var 11: best............ 5.799542e+02 mean............ 5.804801e+02 variance........ 1.852781e+03 var 12: best............ 8.943366e+02 mean............ 8.889634e+02 variance........ 1.787029e+03 var 13: best............ 1.959876e+01 mean............ 3.191807e+01 variance........ 6.380541e+03 var 14: best............ 2.982995e+01 mean............ 4.537915e+01 variance........ 6.919011e+03 var 15: best............ 3.545306e+01 mean............ 4.405612e+01 variance........ 3.588378e+03 var 16: best............ 2.110198e+01 mean............ 3.181028e+01 variance........ 3.804263e+03 var 17: best............ 8.775398e+00 mean............ 2.720680e+01 variance........ 1.026161e+04 var 18: best............ 8.317360e+02 mean............ 8.242073e+02 variance........ 3.170037e+03 var 19: best............ 4.983533e+02 mean............ 4.990509e+02 variance........ 2.208259e+03 var 20: best............ 2.177022e+02 mean............ 2.233459e+02 variance........ 2.383603e+03 var 21: best............ 9.750866e+02 mean............ 9.645137e+02 variance........ 5.570720e+03 var 22: best............ 2.620642e+02 mean............ 2.730609e+02 variance........ 4.971340e+03 var 23: best............ 1.220406e+02 mean............ 1.304382e+02 variance........ 4.182769e+03 var 24: best............ 8.708384e+02 mean............ 8.611876e+02 variance........ 4.127370e+03 var 25: best............ 4.812721e+02 mean............ 4.803450e+02 variance........ 2.372108e+03 var 26: best............ 7.973192e+02 mean............ 7.932925e+02 variance........ 1.182270e+03 var 27: best............ 1.496920e+02 mean............ 1.661018e+02 variance........ 8.341942e+03 GENERATION: 30 Lexical Fit..... 0.000000e+00 1.110223e-16 1.110223e-16 4.440892e-16 6.661338e-16 2.664535e-15 3.552714e-15 1.121325e-14 3.497203e-14 8.926193e-14 6.081802e-13 7.480683e-13 2.510088e-09 4.970136e-09 8.467371e-09 1.340679e-08 1.548149e-08 3.150572e-08 7.213304e-08 7.946728e-08 8.448847e-08 2.271222e-07 4.252923e-07 4.252923e-07 4.252923e-07 9.257039e-07 9.257039e-07 9.257039e-07 9.257039e-07 9.776246e-07 1.974618e-06 5.021478e-06 2.957007e-05 3.340340e-05 3.690223e-05 6.938182e-05 1.217034e-04 1.217034e-04 4.089972e-04 9.178229e-04 1.267778e-03 1.267778e-03 1.461250e-03 9.558856e-03 9.558856e-03 9.558856e-03 3.518054e-02 3.518054e-02 2.565436e-01 6.451998e-01 6.745095e-01 7.215142e-01 7.680257e-01 8.442581e-01 #unique......... 176, #Total UniqueCount: 5466 var 1: best............ 1.913792e+01 mean............ 3.367557e+01 variance........ 6.073071e+03 var 2: best............ 9.447400e+02 mean............ 9.322856e+02 variance........ 5.874344e+03 var 3: best............ 8.535008e+02 mean............ 8.487400e+02 variance........ 1.868946e+03 var 4: best............ 6.179373e+02 mean............ 6.165548e+02 variance........ 2.859630e+03 var 5: best............ 5.795372e+02 mean............ 5.758920e+02 variance........ 1.706623e+03 var 6: best............ 9.123595e+02 mean............ 9.057152e+02 variance........ 2.300674e+03 var 7: best............ 5.734397e+01 mean............ 7.138031e+01 variance........ 6.310025e+03 var 8: best............ 7.178651e+01 mean............ 8.587328e+01 variance........ 7.127306e+03 var 9: best............ 7.746980e+02 mean............ 7.705389e+02 variance........ 2.567370e+03 var 10: best............ 5.572056e+01 mean............ 6.572890e+01 variance........ 4.716563e+03 var 11: best............ 5.799542e+02 mean............ 5.759164e+02 variance........ 2.576921e+03 var 12: best............ 8.943366e+02 mean............ 8.773585e+02 variance........ 9.085431e+03 var 13: best............ 1.959876e+01 mean............ 3.071591e+01 variance........ 4.606280e+03 var 14: best............ 2.982995e+01 mean............ 4.239894e+01 variance........ 4.463699e+03 var 15: best............ 3.545306e+01 mean............ 4.680933e+01 variance........ 4.978424e+03 var 16: best............ 2.110198e+01 mean............ 2.556901e+01 variance........ 2.360055e+03 var 17: best............ 8.775398e+00 mean............ 1.876660e+01 variance........ 4.216748e+03 var 18: best............ 8.317360e+02 mean............ 8.280960e+02 variance........ 1.283233e+03 var 19: best............ 4.983533e+02 mean............ 4.977749e+02 variance........ 3.222612e+03 var 20: best............ 2.177022e+02 mean............ 2.203133e+02 variance........ 8.906712e+02 var 21: best............ 9.750866e+02 mean............ 9.641272e+02 variance........ 5.541358e+03 var 22: best............ 2.620642e+02 mean............ 2.688598e+02 variance........ 1.616623e+03 var 23: best............ 1.220406e+02 mean............ 1.316383e+02 variance........ 3.087260e+03 var 24: best............ 8.708384e+02 mean............ 8.639412e+02 variance........ 2.443617e+03 var 25: best............ 4.812721e+02 mean............ 4.848664e+02 variance........ 1.537766e+03 var 26: best............ 7.973192e+02 mean............ 7.907592e+02 variance........ 1.909960e+03 var 27: best............ 1.496920e+02 mean............ 1.533445e+02 variance........ 1.273274e+03 GENERATION: 31 Lexical Fit..... 0.000000e+00 1.110223e-16 1.110223e-16 4.440892e-16 8.881784e-16 3.552714e-15 3.996803e-15 1.121325e-14 3.497203e-14 9.148238e-14 6.625811e-13 7.909229e-13 3.798561e-09 4.567233e-09 6.821261e-09 1.548149e-08 3.040858e-08 3.057875e-08 7.989417e-08 8.605531e-08 1.914826e-07 2.096778e-07 9.257039e-07 9.257039e-07 9.257039e-07 9.257039e-07 9.257039e-07 9.257039e-07 9.257039e-07 1.123832e-06 1.974618e-06 9.359747e-06 5.091436e-05 6.308982e-05 6.440707e-05 1.151269e-04 2.253712e-04 2.253712e-04 4.089972e-04 1.267778e-03 1.267778e-03 1.465594e-03 2.250543e-03 9.558856e-03 9.558856e-03 9.558856e-03 3.518054e-02 3.518054e-02 3.136043e-01 6.664609e-01 7.133766e-01 8.278032e-01 8.367318e-01 9.993388e-01 #unique......... 174, #Total UniqueCount: 5640 var 1: best............ 1.912430e+01 mean............ 2.901073e+01 variance........ 4.447760e+03 var 2: best............ 9.447489e+02 mean............ 9.285322e+02 variance........ 7.345007e+03 var 3: best............ 8.535139e+02 mean............ 8.386618e+02 variance........ 6.160903e+03 var 4: best............ 6.175207e+02 mean............ 6.136119e+02 variance........ 2.514130e+03 var 5: best............ 5.807571e+02 mean............ 5.786902e+02 variance........ 9.481300e+02 var 6: best............ 9.123063e+02 mean............ 9.034290e+02 variance........ 3.868860e+03 var 7: best............ 6.030979e+01 mean............ 7.772884e+01 variance........ 1.036025e+04 var 8: best............ 7.178598e+01 mean............ 8.892386e+01 variance........ 8.675901e+03 var 9: best............ 7.748822e+02 mean............ 7.625606e+02 variance........ 5.259149e+03 var 10: best............ 5.572047e+01 mean............ 6.498964e+01 variance........ 2.646723e+03 var 11: best............ 5.796664e+02 mean............ 5.765759e+02 variance........ 1.887419e+03 var 12: best............ 8.943485e+02 mean............ 8.875815e+02 variance........ 3.222986e+03 var 13: best............ 1.974208e+01 mean............ 3.556201e+01 variance........ 7.387413e+03 var 14: best............ 3.116606e+01 mean............ 3.992263e+01 variance........ 5.570909e+03 var 15: best............ 3.539334e+01 mean............ 5.131619e+01 variance........ 6.809598e+03 var 16: best............ 2.107974e+01 mean............ 3.556056e+01 variance........ 6.839861e+03 var 17: best............ 9.420434e+00 mean............ 2.563051e+01 variance........ 7.478414e+03 var 18: best............ 8.316791e+02 mean............ 8.236831e+02 variance........ 4.007478e+03 var 19: best............ 4.964287e+02 mean............ 5.050009e+02 variance........ 4.063696e+03 var 20: best............ 2.174136e+02 mean............ 2.264569e+02 variance........ 3.399586e+03 var 21: best............ 9.749560e+02 mean............ 9.648666e+02 variance........ 4.020095e+03 var 22: best............ 2.613220e+02 mean............ 2.658176e+02 variance........ 1.283763e+03 var 23: best............ 1.242981e+02 mean............ 1.332117e+02 variance........ 4.506600e+03 var 24: best............ 3.827611e+00 mean............ 8.503601e+02 variance........ 1.132713e+04 var 25: best............ 4.812287e+02 mean............ 4.845951e+02 variance........ 1.631069e+03 var 26: best............ 7.975748e+02 mean............ 7.870376e+02 variance........ 3.962720e+03 var 27: best............ 1.503871e+02 mean............ 1.628204e+02 variance........ 5.124102e+03 GENERATION: 32 Lexical Fit..... 0.000000e+00 1.110223e-16 1.110223e-16 1.776357e-15 2.220446e-15 3.552714e-15 3.996803e-15 1.121325e-14 3.497203e-14 2.708944e-13 1.391331e-12 1.782574e-12 1.666683e-09 6.429247e-09 1.625773e-08 2.328081e-08 3.266740e-08 8.448847e-08 1.168685e-07 2.796811e-07 3.185723e-07 4.252923e-07 4.252923e-07 4.252923e-07 9.257039e-07 9.257039e-07 9.257039e-07 9.257039e-07 1.070744e-06 1.974618e-06 4.261066e-06 5.085739e-06 2.983774e-05 3.340340e-05 3.675685e-05 6.440707e-05 7.207101e-05 1.217034e-04 4.089972e-04 8.753961e-04 1.267778e-03 1.353521e-03 2.165431e-03 5.946011e-03 1.505956e-02 1.505956e-02 2.325117e-02 2.325117e-02 2.327176e-01 4.096777e-01 5.357037e-01 5.440514e-01 5.833746e-01 5.854983e-01 #unique......... 181, #Total UniqueCount: 5821 var 1: best............ 1.912430e+01 mean............ 2.508032e+01 variance........ 1.590416e+03 var 2: best............ 9.447489e+02 mean............ 9.369476e+02 variance........ 3.851632e+03 var 3: best............ 8.535139e+02 mean............ 8.458972e+02 variance........ 3.209715e+03 var 4: best............ 6.175207e+02 mean............ 6.143450e+02 variance........ 1.637413e+03 var 5: best............ 1.134459e+02 mean............ 5.736050e+02 variance........ 2.664302e+03 var 6: best............ 9.123063e+02 mean............ 9.072108e+02 variance........ 1.185383e+03 var 7: best............ 6.030979e+01 mean............ 6.305010e+01 variance........ 1.832342e+03 var 8: best............ 7.178598e+01 mean............ 7.554491e+01 variance........ 1.477739e+03 var 9: best............ 7.748822e+02 mean............ 7.656334e+02 variance........ 3.592932e+03 var 10: best............ 5.572047e+01 mean............ 6.032861e+01 variance........ 2.248194e+03 var 11: best............ 5.796664e+02 mean............ 5.722982e+02 variance........ 5.204278e+03 var 12: best............ 8.943485e+02 mean............ 8.872263e+02 variance........ 2.833892e+03 var 13: best............ 1.974208e+01 mean............ 2.673570e+01 variance........ 2.440944e+03 var 14: best............ 3.116606e+01 mean............ 3.399870e+01 variance........ 9.855569e+02 var 15: best............ 3.539334e+01 mean............ 4.349425e+01 variance........ 3.079469e+03 var 16: best............ 2.107974e+01 mean............ 2.777043e+01 variance........ 2.394943e+03 var 17: best............ 9.420434e+00 mean............ 1.456514e+01 variance........ 2.348165e+03 var 18: best............ 8.316791e+02 mean............ 8.300004e+02 variance........ 9.656227e+02 var 19: best............ 4.964287e+02 mean............ 4.991889e+02 variance........ 2.135600e+03 var 20: best............ 2.174136e+02 mean............ 2.199080e+02 variance........ 1.766792e+03 var 21: best............ 9.749560e+02 mean............ 9.673198e+02 variance........ 2.301171e+03 var 22: best............ 2.613220e+02 mean............ 2.652064e+02 variance........ 2.377799e+03 var 23: best............ 1.242981e+02 mean............ 1.244335e+02 variance........ 2.681345e+02 var 24: best............ 3.827611e+00 mean............ 5.582374e+02 variance........ 1.479065e+05 var 25: best............ 4.812287e+02 mean............ 4.786659e+02 variance........ 1.005119e+03 var 26: best............ 7.975748e+02 mean............ 7.943904e+02 variance........ 1.878833e+03 var 27: best............ 1.503871e+02 mean............ 1.542325e+02 variance........ 1.909872e+03 GENERATION: 33 Lexical Fit..... 0.000000e+00 1.110223e-16 1.110223e-16 3.552714e-15 3.996803e-15 3.996803e-15 4.662937e-15 1.121325e-14 3.497203e-14 6.430412e-13 1.956213e-12 4.355183e-12 2.412537e-09 6.429247e-09 3.410062e-08 8.448847e-08 1.471426e-07 1.609622e-07 4.252923e-07 4.252923e-07 4.252923e-07 5.234946e-07 9.257039e-07 9.257039e-07 9.257039e-07 9.257039e-07 1.147034e-06 1.695041e-06 1.974618e-06 3.357827e-06 6.055975e-06 2.104617e-05 2.350406e-05 2.800684e-05 3.340340e-05 3.340340e-05 3.340340e-05 6.014594e-05 4.089972e-04 6.398286e-04 9.661506e-04 1.267778e-03 2.165431e-03 3.624699e-03 9.558856e-03 9.558856e-03 1.505956e-02 1.505956e-02 1.900018e-01 2.752485e-01 3.497725e-01 3.839762e-01 4.149863e-01 4.619689e-01 #unique......... 180, #Total UniqueCount: 6001 var 1: best............ 1.912430e+01 mean............ 2.947994e+01 variance........ 3.571735e+03 var 2: best............ 9.447489e+02 mean............ 9.319927e+02 variance........ 4.622395e+03 var 3: best............ 8.535139e+02 mean............ 8.484763e+02 variance........ 1.248816e+03 var 4: best............ 3.030556e+02 mean............ 6.152983e+02 variance........ 2.600442e+03 var 5: best............ 4.058719e+01 mean............ 2.974707e+02 variance........ 5.718328e+04 var 6: best............ 9.123063e+02 mean............ 9.054120e+02 variance........ 3.332772e+03 var 7: best............ 6.030979e+01 mean............ 6.662441e+01 variance........ 2.209182e+03 var 8: best............ 7.178598e+01 mean............ 8.173793e+01 variance........ 3.409777e+03 var 9: best............ 7.748822e+02 mean............ 7.668021e+02 variance........ 3.604006e+03 var 10: best............ 5.572047e+01 mean............ 6.793199e+01 variance........ 4.844489e+03 var 11: best............ 5.796664e+02 mean............ 5.209805e+02 variance........ 2.503992e+04 var 12: best............ 8.943485e+02 mean............ 8.856552e+02 variance........ 3.463739e+03 var 13: best............ 1.974208e+01 mean............ 2.758484e+01 variance........ 3.394948e+03 var 14: best............ 3.116606e+01 mean............ 4.294934e+01 variance........ 4.403988e+03 var 15: best............ 3.539334e+01 mean............ 3.904441e+01 variance........ 9.056733e+02 var 16: best............ 2.107974e+01 mean............ 3.240583e+01 variance........ 5.511684e+03 var 17: best............ 9.420434e+00 mean............ 2.305435e+01 variance........ 8.074775e+03 var 18: best............ 8.316791e+02 mean............ 8.253860e+02 variance........ 2.960087e+03 var 19: best............ 7.124023e+02 mean............ 4.951710e+02 variance........ 1.653084e+03 var 20: best............ 2.174136e+02 mean............ 2.252534e+02 variance........ 2.224459e+03 var 21: best............ 9.749560e+02 mean............ 9.666079e+02 variance........ 2.624141e+03 var 22: best............ 2.151665e+02 mean............ 2.674515e+02 variance........ 2.520252e+03 var 23: best............ 1.242981e+02 mean............ 1.371275e+02 variance........ 5.662311e+03 var 24: best............ 3.827611e+00 mean............ 1.338456e+01 variance........ 4.030928e+03 var 25: best............ 4.812287e+02 mean............ 4.815160e+02 variance........ 2.760801e+03 var 26: best............ 7.975748e+02 mean............ 7.890626e+02 variance........ 4.000722e+03 var 27: best............ 1.503871e+02 mean............ 1.682586e+02 variance........ 8.418536e+03 GENERATION: 34 Lexical Fit..... 0.000000e+00 1.110223e-16 1.110223e-16 3.552714e-15 3.996803e-15 3.996803e-15 4.662937e-15 1.121325e-14 3.497203e-14 6.430412e-13 1.956213e-12 4.355183e-12 2.412537e-09 6.429247e-09 3.410062e-08 8.448847e-08 1.471426e-07 1.609622e-07 4.252923e-07 4.252923e-07 4.252923e-07 5.234946e-07 9.257039e-07 9.257039e-07 9.257039e-07 9.257039e-07 1.147034e-06 1.695041e-06 1.974618e-06 3.357827e-06 6.055975e-06 2.104617e-05 2.350406e-05 2.800684e-05 3.340340e-05 3.340340e-05 3.340340e-05 6.014594e-05 4.089972e-04 6.398286e-04 9.661506e-04 1.267778e-03 2.165431e-03 3.624699e-03 9.558856e-03 9.558856e-03 1.505956e-02 1.505956e-02 1.900018e-01 2.752485e-01 3.497725e-01 3.839762e-01 4.149863e-01 4.619689e-01 #unique......... 174, #Total UniqueCount: 6175 var 1: best............ 1.912430e+01 mean............ 3.388075e+01 variance........ 6.531553e+03 var 2: best............ 9.447489e+02 mean............ 9.344355e+02 variance........ 5.870977e+03 var 3: best............ 8.535139e+02 mean............ 8.406457e+02 variance........ 5.952504e+03 var 4: best............ 3.030556e+02 mean............ 4.736058e+02 variance........ 2.817403e+04 var 5: best............ 4.058719e+01 mean............ 7.995767e+01 variance........ 6.927961e+03 var 6: best............ 9.123063e+02 mean............ 9.041678e+02 variance........ 4.535335e+03 var 7: best............ 6.030979e+01 mean............ 7.030967e+01 variance........ 3.336832e+03 var 8: best............ 7.178598e+01 mean............ 8.507268e+01 variance........ 7.650103e+03 var 9: best............ 7.748822e+02 mean............ 7.734625e+02 variance........ 5.353253e+02 var 10: best............ 5.572047e+01 mean............ 6.911205e+01 variance........ 6.268703e+03 var 11: best............ 5.796664e+02 mean............ 5.241423e+02 variance........ 2.557409e+04 var 12: best............ 8.943485e+02 mean............ 8.835060e+02 variance........ 5.864540e+03 var 13: best............ 1.974208e+01 mean............ 2.591445e+01 variance........ 1.584352e+03 var 14: best............ 3.116606e+01 mean............ 4.350635e+01 variance........ 4.708568e+03 var 15: best............ 3.539334e+01 mean............ 4.621540e+01 variance........ 6.000800e+03 var 16: best............ 2.107974e+01 mean............ 3.423771e+01 variance........ 7.665245e+03 var 17: best............ 9.420434e+00 mean............ 2.075010e+01 variance........ 5.616861e+03 var 18: best............ 8.316791e+02 mean............ 8.236126e+02 variance........ 3.779093e+03 var 19: best............ 7.124023e+02 mean............ 5.980456e+02 variance........ 1.416267e+04 var 20: best............ 2.174136e+02 mean............ 2.213756e+02 variance........ 1.665314e+03 var 21: best............ 9.749560e+02 mean............ 9.659159e+02 variance........ 2.977560e+03 var 22: best............ 2.151665e+02 mean............ 2.427312e+02 variance........ 2.515393e+03 var 23: best............ 1.242981e+02 mean............ 1.287968e+02 variance........ 1.633975e+03 var 24: best............ 3.827611e+00 mean............ 2.016455e+01 variance........ 9.037710e+03 var 25: best............ 4.812287e+02 mean............ 4.806183e+02 variance........ 2.589137e+03 var 26: best............ 7.975748e+02 mean............ 7.969692e+02 variance........ 2.671547e+02 var 27: best............ 1.503871e+02 mean............ 1.559849e+02 variance........ 2.095853e+03 GENERATION: 35 Lexical Fit..... 0.000000e+00 1.110223e-16 1.110223e-16 3.552714e-15 3.996803e-15 3.996803e-15 4.662937e-15 1.121325e-14 3.497203e-14 6.430412e-13 1.956213e-12 4.355183e-12 2.412537e-09 6.429247e-09 3.410062e-08 8.448847e-08 1.471426e-07 1.609622e-07 4.252923e-07 4.252923e-07 4.252923e-07 5.234946e-07 9.257039e-07 9.257039e-07 9.257039e-07 9.257039e-07 1.147034e-06 1.695041e-06 1.974618e-06 3.357827e-06 6.055975e-06 2.104617e-05 2.350406e-05 2.800684e-05 3.340340e-05 3.340340e-05 3.340340e-05 6.014594e-05 4.089972e-04 6.398286e-04 9.661506e-04 1.267778e-03 2.165431e-03 3.624699e-03 9.558856e-03 9.558856e-03 1.505956e-02 1.505956e-02 1.900018e-01 2.752485e-01 3.497725e-01 3.839762e-01 4.149863e-01 4.619689e-01 #unique......... 187, #Total UniqueCount: 6362 var 1: best............ 1.912430e+01 mean............ 3.668405e+01 variance........ 7.859066e+03 var 2: best............ 9.447489e+02 mean............ 9.285856e+02 variance........ 7.864154e+03 var 3: best............ 8.535139e+02 mean............ 8.421852e+02 variance........ 5.391042e+03 var 4: best............ 3.030556e+02 mean............ 3.225112e+02 variance........ 4.283482e+03 var 5: best............ 4.058719e+01 mean............ 5.458191e+01 variance........ 4.293900e+03 var 6: best............ 9.123063e+02 mean............ 9.012101e+02 variance........ 4.001213e+03 var 7: best............ 6.030979e+01 mean............ 7.599541e+01 variance........ 7.200449e+03 var 8: best............ 7.178598e+01 mean............ 8.509152e+01 variance........ 5.372270e+03 var 9: best............ 7.748822e+02 mean............ 7.691576e+02 variance........ 2.972430e+03 var 10: best............ 5.572047e+01 mean............ 6.408717e+01 variance........ 2.853892e+03 var 11: best............ 5.796664e+02 mean............ 5.610870e+02 variance........ 4.433267e+03 var 12: best............ 8.943485e+02 mean............ 8.691872e+02 variance........ 1.308655e+04 var 13: best............ 1.974208e+01 mean............ 2.819796e+01 variance........ 2.885240e+03 var 14: best............ 3.116606e+01 mean............ 3.796588e+01 variance........ 2.024383e+03 var 15: best............ 3.539334e+01 mean............ 4.805196e+01 variance........ 8.080984e+03 var 16: best............ 2.107974e+01 mean............ 4.012564e+01 variance........ 1.141630e+04 var 17: best............ 9.420434e+00 mean............ 2.871863e+01 variance........ 9.067392e+03 var 18: best............ 8.316791e+02 mean............ 8.276451e+02 variance........ 1.667706e+03 var 19: best............ 7.124023e+02 mean............ 6.881384e+02 variance........ 5.657432e+03 var 20: best............ 2.174136e+02 mean............ 2.276113e+02 variance........ 3.906533e+03 var 21: best............ 9.749560e+02 mean............ 9.637171e+02 variance........ 4.027009e+03 var 22: best............ 2.151665e+02 mean............ 2.326982e+02 variance........ 5.679479e+03 var 23: best............ 1.242981e+02 mean............ 1.352115e+02 variance........ 4.341566e+03 var 24: best............ 3.827611e+00 mean............ 1.558561e+01 variance........ 5.957099e+03 var 25: best............ 4.812287e+02 mean............ 4.792424e+02 variance........ 7.082987e+02 var 26: best............ 7.975748e+02 mean............ 7.930305e+02 variance........ 1.469580e+03 var 27: best............ 1.503871e+02 mean............ 1.616711e+02 variance........ 5.479367e+03 GENERATION: 36 Lexical Fit..... 0.000000e+00 1.110223e-16 1.110223e-16 3.552714e-15 3.996803e-15 3.996803e-15 4.662937e-15 1.121325e-14 3.497203e-14 6.430412e-13 1.956213e-12 4.355183e-12 2.412537e-09 6.429247e-09 3.410062e-08 8.448847e-08 1.471426e-07 1.609622e-07 4.252923e-07 4.252923e-07 4.252923e-07 5.234946e-07 9.257039e-07 9.257039e-07 9.257039e-07 9.257039e-07 1.147034e-06 1.695041e-06 1.974618e-06 3.357827e-06 6.055975e-06 2.104617e-05 2.350406e-05 2.800684e-05 3.340340e-05 3.340340e-05 3.340340e-05 6.014594e-05 4.089972e-04 6.398286e-04 9.661506e-04 1.267778e-03 2.165431e-03 3.624699e-03 9.558856e-03 9.558856e-03 1.505956e-02 1.505956e-02 1.900018e-01 2.752485e-01 3.497725e-01 3.839762e-01 4.149863e-01 4.619689e-01 #unique......... 192, #Total UniqueCount: 6554 var 1: best............ 1.912430e+01 mean............ 2.939613e+01 variance........ 4.704874e+03 var 2: best............ 9.447489e+02 mean............ 9.335183e+02 variance........ 5.198023e+03 var 3: best............ 8.535139e+02 mean............ 8.477986e+02 variance........ 2.364330e+03 var 4: best............ 3.030556e+02 mean............ 3.271197e+02 variance........ 4.542136e+03 var 5: best............ 4.058719e+01 mean............ 5.593165e+01 variance........ 6.006115e+03 var 6: best............ 9.123063e+02 mean............ 9.034127e+02 variance........ 4.132474e+03 var 7: best............ 6.030979e+01 mean............ 6.997249e+01 variance........ 5.676327e+03 var 8: best............ 7.178598e+01 mean............ 7.519230e+01 variance........ 1.202742e+03 var 9: best............ 7.748822e+02 mean............ 7.698254e+02 variance........ 1.777068e+03 var 10: best............ 5.572047e+01 mean............ 6.508119e+01 variance........ 3.487756e+03 var 11: best............ 5.796664e+02 mean............ 5.624844e+02 variance........ 4.710153e+03 var 12: best............ 8.943485e+02 mean............ 8.910070e+02 variance........ 9.726131e+02 var 13: best............ 1.974208e+01 mean............ 3.115066e+01 variance........ 4.897756e+03 var 14: best............ 3.116606e+01 mean............ 3.224009e+01 variance........ 7.286946e+02 var 15: best............ 3.539334e+01 mean............ 4.782510e+01 variance........ 6.566160e+03 var 16: best............ 2.107974e+01 mean............ 3.040588e+01 variance........ 4.514355e+03 var 17: best............ 9.420434e+00 mean............ 1.380385e+01 variance........ 8.725299e+02 var 18: best............ 8.316791e+02 mean............ 8.240472e+02 variance........ 7.116735e+03 var 19: best............ 7.124023e+02 mean............ 6.935015e+02 variance........ 4.233679e+03 var 20: best............ 2.174136e+02 mean............ 2.251848e+02 variance........ 3.879440e+03 var 21: best............ 9.749560e+02 mean............ 9.720431e+02 variance........ 7.823372e+02 var 22: best............ 2.151665e+02 mean............ 2.207462e+02 variance........ 1.666804e+03 var 23: best............ 1.242981e+02 mean............ 1.334222e+02 variance........ 4.228722e+03 var 24: best............ 3.827611e+00 mean............ 1.980071e+01 variance........ 7.071529e+03 var 25: best............ 4.812287e+02 mean............ 4.799664e+02 variance........ 1.790563e+03 var 26: best............ 7.975748e+02 mean............ 7.928751e+02 variance........ 1.619527e+03 var 27: best............ 1.503871e+02 mean............ 1.557895e+02 variance........ 2.592443e+03 GENERATION: 37 Lexical Fit..... 0.000000e+00 1.110223e-16 1.110223e-16 3.552714e-15 3.996803e-15 3.996803e-15 4.662937e-15 1.121325e-14 3.497203e-14 6.430412e-13 1.956213e-12 4.355183e-12 2.412537e-09 6.429247e-09 3.410062e-08 8.448847e-08 1.471426e-07 1.609622e-07 4.252923e-07 4.252923e-07 4.252923e-07 5.234946e-07 9.257039e-07 9.257039e-07 9.257039e-07 9.257039e-07 1.147034e-06 1.695041e-06 1.974618e-06 3.357827e-06 6.055975e-06 2.104617e-05 2.350406e-05 2.800684e-05 3.340340e-05 3.340340e-05 3.340340e-05 6.014594e-05 4.089972e-04 6.398286e-04 9.661506e-04 1.267778e-03 2.165431e-03 3.624699e-03 9.558856e-03 9.558856e-03 1.505956e-02 1.505956e-02 1.900018e-01 2.752485e-01 3.497725e-01 3.839762e-01 4.149863e-01 4.619689e-01 #unique......... 180, #Total UniqueCount: 6734 var 1: best............ 1.912430e+01 mean............ 2.267665e+01 variance........ 9.908418e+02 var 2: best............ 9.447489e+02 mean............ 9.335656e+02 variance........ 4.376052e+03 var 3: best............ 8.535139e+02 mean............ 8.485176e+02 variance........ 2.435014e+03 var 4: best............ 3.030556e+02 mean............ 3.244968e+02 variance........ 3.781847e+03 var 5: best............ 4.058719e+01 mean............ 5.107848e+01 variance........ 4.092554e+03 var 6: best............ 9.123063e+02 mean............ 9.039986e+02 variance........ 4.003783e+03 var 7: best............ 6.030979e+01 mean............ 6.581118e+01 variance........ 2.452334e+03 var 8: best............ 7.178598e+01 mean............ 7.497264e+01 variance........ 1.042194e+03 var 9: best............ 7.748822e+02 mean............ 7.701010e+02 variance........ 3.122458e+03 var 10: best............ 5.572047e+01 mean............ 6.105490e+01 variance........ 1.683225e+03 var 11: best............ 5.796664e+02 mean............ 5.590603e+02 variance........ 4.194555e+03 var 12: best............ 8.943485e+02 mean............ 8.848385e+02 variance........ 3.767448e+03 var 13: best............ 1.974208e+01 mean............ 3.203333e+01 variance........ 6.496145e+03 var 14: best............ 3.116606e+01 mean............ 3.405760e+01 variance........ 1.864291e+03 var 15: best............ 3.539334e+01 mean............ 4.555739e+01 variance........ 3.797988e+03 var 16: best............ 2.107974e+01 mean............ 2.880390e+01 variance........ 3.318342e+03 var 17: best............ 9.420434e+00 mean............ 1.854133e+01 variance........ 5.534191e+03 var 18: best............ 8.316791e+02 mean............ 8.275161e+02 variance........ 4.457409e+03 var 19: best............ 7.124023e+02 mean............ 6.967215e+02 variance........ 2.340794e+03 var 20: best............ 2.174136e+02 mean............ 2.274960e+02 variance........ 4.103466e+03 var 21: best............ 9.749560e+02 mean............ 9.676967e+02 variance........ 3.185526e+03 var 22: best............ 2.151665e+02 mean............ 2.254765e+02 variance........ 4.776101e+03 var 23: best............ 1.242981e+02 mean............ 1.309836e+02 variance........ 2.794376e+03 var 24: best............ 3.827611e+00 mean............ 1.179537e+01 variance........ 2.598521e+03 var 25: best............ 4.812287e+02 mean............ 4.817514e+02 variance........ 1.976486e+03 var 26: best............ 7.975748e+02 mean............ 7.929119e+02 variance........ 1.705118e+03 var 27: best............ 1.503871e+02 mean............ 1.614214e+02 variance........ 5.817154e+03 GENERATION: 38 Lexical Fit..... 0.000000e+00 1.110223e-16 1.110223e-16 3.552714e-15 3.996803e-15 3.996803e-15 4.662937e-15 1.121325e-14 3.497203e-14 6.430412e-13 1.956213e-12 4.355183e-12 2.412537e-09 6.429247e-09 3.410062e-08 8.448847e-08 1.471426e-07 1.609622e-07 4.252923e-07 4.252923e-07 4.252923e-07 5.234946e-07 9.257039e-07 9.257039e-07 9.257039e-07 9.257039e-07 1.147034e-06 1.695041e-06 1.974618e-06 3.357827e-06 6.055975e-06 2.104617e-05 2.350406e-05 2.800684e-05 3.340340e-05 3.340340e-05 3.340340e-05 6.014594e-05 4.089972e-04 6.398286e-04 9.661506e-04 1.267778e-03 2.165431e-03 3.624699e-03 9.558856e-03 9.558856e-03 1.505956e-02 1.505956e-02 1.900018e-01 2.752485e-01 3.497725e-01 3.839762e-01 4.149863e-01 4.619689e-01 #unique......... 182, #Total UniqueCount: 6916 var 1: best............ 1.912430e+01 mean............ 3.153402e+01 variance........ 6.402505e+03 var 2: best............ 9.447489e+02 mean............ 9.402376e+02 variance........ 1.141408e+03 var 3: best............ 8.535139e+02 mean............ 8.468869e+02 variance........ 2.711984e+03 var 4: best............ 3.030556e+02 mean............ 3.243629e+02 variance........ 6.161135e+03 var 5: best............ 4.058719e+01 mean............ 5.168872e+01 variance........ 3.739474e+03 var 6: best............ 9.123063e+02 mean............ 8.991043e+02 variance........ 5.857265e+03 var 7: best............ 6.030979e+01 mean............ 6.484094e+01 variance........ 1.668009e+03 var 8: best............ 7.178598e+01 mean............ 8.724788e+01 variance........ 5.185709e+03 var 9: best............ 7.748822e+02 mean............ 7.699660e+02 variance........ 2.094577e+03 var 10: best............ 5.572047e+01 mean............ 6.438137e+01 variance........ 3.051881e+03 var 11: best............ 5.796664e+02 mean............ 5.662279e+02 variance........ 4.646318e+03 var 12: best............ 8.943485e+02 mean............ 8.900311e+02 variance........ 9.310927e+02 var 13: best............ 1.974208e+01 mean............ 3.181329e+01 variance........ 5.060484e+03 var 14: best............ 3.116606e+01 mean............ 4.480584e+01 variance........ 9.710031e+03 var 15: best............ 3.539334e+01 mean............ 4.985373e+01 variance........ 6.342190e+03 var 16: best............ 2.107974e+01 mean............ 3.609074e+01 variance........ 6.771056e+03 var 17: best............ 9.420434e+00 mean............ 1.900952e+01 variance........ 3.561241e+03 var 18: best............ 8.316791e+02 mean............ 8.301820e+02 variance........ 3.136642e+03 var 19: best............ 7.124023e+02 mean............ 7.038396e+02 variance........ 1.536445e+03 var 20: best............ 2.174136e+02 mean............ 2.219206e+02 variance........ 1.594647e+03 var 21: best............ 9.749560e+02 mean............ 9.599504e+02 variance........ 7.682900e+03 var 22: best............ 2.151665e+02 mean............ 2.225003e+02 variance........ 2.578523e+03 var 23: best............ 1.242981e+02 mean............ 1.402560e+02 variance........ 7.219582e+03 var 24: best............ 3.827611e+00 mean............ 1.399868e+01 variance........ 3.634177e+03 var 25: best............ 4.812287e+02 mean............ 4.794279e+02 variance........ 1.757799e+03 var 26: best............ 7.975748e+02 mean............ 7.933423e+02 variance........ 1.856487e+03 var 27: best............ 1.503871e+02 mean............ 1.554572e+02 variance........ 1.812548e+03 GENERATION: 39 Lexical Fit..... 0.000000e+00 1.110223e-16 1.110223e-16 3.552714e-15 3.996803e-15 3.996803e-15 4.662937e-15 1.121325e-14 3.497203e-14 6.430412e-13 1.956213e-12 4.355183e-12 2.412537e-09 6.429247e-09 3.410062e-08 8.448847e-08 1.471426e-07 1.609622e-07 4.252923e-07 4.252923e-07 4.252923e-07 5.234946e-07 9.257039e-07 9.257039e-07 9.257039e-07 9.257039e-07 1.147034e-06 1.695041e-06 1.974618e-06 3.357827e-06 6.055975e-06 2.104617e-05 2.350406e-05 2.800684e-05 3.340340e-05 3.340340e-05 3.340340e-05 6.014594e-05 4.089972e-04 6.398286e-04 9.661506e-04 1.267778e-03 2.165431e-03 3.624699e-03 9.558856e-03 9.558856e-03 1.505956e-02 1.505956e-02 1.900018e-01 2.752485e-01 3.497725e-01 3.839762e-01 4.149863e-01 4.619689e-01 #unique......... 183, #Total UniqueCount: 7099 var 1: best............ 1.912430e+01 mean............ 3.536848e+01 variance........ 7.545475e+03 var 2: best............ 9.447489e+02 mean............ 9.303588e+02 variance........ 6.942097e+03 var 3: best............ 8.535139e+02 mean............ 8.464577e+02 variance........ 1.862481e+03 var 4: best............ 3.030556e+02 mean............ 3.225950e+02 variance........ 3.450543e+03 var 5: best............ 4.058719e+01 mean............ 6.072880e+01 variance........ 1.163032e+04 var 6: best............ 9.123063e+02 mean............ 8.971493e+02 variance........ 6.815582e+03 var 7: best............ 6.030979e+01 mean............ 6.671190e+01 variance........ 3.260843e+03 var 8: best............ 7.178598e+01 mean............ 7.875595e+01 variance........ 2.055890e+03 var 9: best............ 7.748822e+02 mean............ 7.701027e+02 variance........ 2.005941e+03 var 10: best............ 5.572047e+01 mean............ 7.318307e+01 variance........ 9.342501e+03 var 11: best............ 5.796664e+02 mean............ 5.588703e+02 variance........ 5.544061e+03 var 12: best............ 8.943485e+02 mean............ 8.832939e+02 variance........ 5.076817e+03 var 13: best............ 1.974208e+01 mean............ 2.942376e+01 variance........ 4.565158e+03 var 14: best............ 3.116606e+01 mean............ 4.482769e+01 variance........ 8.822140e+03 var 15: best............ 3.539334e+01 mean............ 4.848887e+01 variance........ 5.658676e+03 var 16: best............ 2.107974e+01 mean............ 3.522708e+01 variance........ 4.264509e+03 var 17: best............ 9.420434e+00 mean............ 2.999758e+01 variance........ 9.311437e+03 var 18: best............ 8.316791e+02 mean............ 8.243597e+02 variance........ 5.422062e+03 var 19: best............ 7.124023e+02 mean............ 6.969277e+02 variance........ 3.770323e+03 var 20: best............ 2.174136e+02 mean............ 2.313671e+02 variance........ 5.952616e+03 var 21: best............ 9.749560e+02 mean............ 9.639690e+02 variance........ 3.471965e+03 var 22: best............ 2.151665e+02 mean............ 2.227809e+02 variance........ 2.657138e+03 var 23: best............ 1.242981e+02 mean............ 1.327500e+02 variance........ 3.479842e+03 var 24: best............ 3.827611e+00 mean............ 2.280243e+01 variance........ 8.907682e+03 var 25: best............ 4.812287e+02 mean............ 4.816246e+02 variance........ 7.451891e+02 var 26: best............ 7.975748e+02 mean............ 7.896864e+02 variance........ 3.482815e+03 var 27: best............ 1.503871e+02 mean............ 1.562033e+02 variance........ 3.096881e+03 GENERATION: 40 Lexical Fit..... 0.000000e+00 1.110223e-16 1.110223e-16 3.552714e-15 3.996803e-15 3.996803e-15 4.662937e-15 1.121325e-14 3.497203e-14 6.430412e-13 1.956213e-12 4.355183e-12 2.412537e-09 6.429247e-09 3.410062e-08 8.448847e-08 1.471426e-07 1.609622e-07 4.252923e-07 4.252923e-07 4.252923e-07 5.234946e-07 9.257039e-07 9.257039e-07 9.257039e-07 9.257039e-07 1.147034e-06 1.695041e-06 1.974618e-06 3.357827e-06 6.055975e-06 2.104617e-05 2.350406e-05 2.800684e-05 3.340340e-05 3.340340e-05 3.340340e-05 6.014594e-05 4.089972e-04 6.398286e-04 9.661506e-04 1.267778e-03 2.165431e-03 3.624699e-03 9.558856e-03 9.558856e-03 1.505956e-02 1.505956e-02 1.900018e-01 2.752485e-01 3.497725e-01 3.839762e-01 4.149863e-01 4.619689e-01 #unique......... 176, #Total UniqueCount: 7275 var 1: best............ 1.912430e+01 mean............ 2.736739e+01 variance........ 4.002877e+03 var 2: best............ 9.447489e+02 mean............ 9.340827e+02 variance........ 4.340296e+03 var 3: best............ 8.535139e+02 mean............ 8.466981e+02 variance........ 2.767879e+03 var 4: best............ 3.030556e+02 mean............ 3.306921e+02 variance........ 5.196081e+03 var 5: best............ 4.058719e+01 mean............ 5.872818e+01 variance........ 9.132680e+03 var 6: best............ 9.123063e+02 mean............ 9.009454e+02 variance........ 4.006210e+03 var 7: best............ 6.030979e+01 mean............ 7.074036e+01 variance........ 5.094436e+03 var 8: best............ 7.178598e+01 mean............ 8.214408e+01 variance........ 6.042125e+03 var 9: best............ 7.748822e+02 mean............ 7.638750e+02 variance........ 5.479987e+03 var 10: best............ 5.572047e+01 mean............ 6.692610e+01 variance........ 4.413184e+03 var 11: best............ 5.796664e+02 mean............ 5.590932e+02 variance........ 4.620945e+03 var 12: best............ 8.943485e+02 mean............ 8.879784e+02 variance........ 2.725542e+03 var 13: best............ 1.974208e+01 mean............ 3.392346e+01 variance........ 6.049203e+03 var 14: best............ 3.116606e+01 mean............ 4.312242e+01 variance........ 6.974339e+03 var 15: best............ 3.539334e+01 mean............ 4.676470e+01 variance........ 6.100093e+03 var 16: best............ 2.107974e+01 mean............ 2.954243e+01 variance........ 2.535418e+03 var 17: best............ 9.420434e+00 mean............ 2.418126e+01 variance........ 7.656082e+03 var 18: best............ 8.316791e+02 mean............ 8.258938e+02 variance........ 5.513644e+03 var 19: best............ 7.124023e+02 mean............ 6.972206e+02 variance........ 1.810008e+03 var 20: best............ 2.174136e+02 mean............ 2.277872e+02 variance........ 4.447646e+03 var 21: best............ 9.749560e+02 mean............ 9.682521e+02 variance........ 3.242443e+03 var 22: best............ 2.151665e+02 mean............ 2.227228e+02 variance........ 1.858420e+03 var 23: best............ 1.242981e+02 mean............ 1.318102e+02 variance........ 3.257428e+03 var 24: best............ 3.827611e+00 mean............ 2.169360e+01 variance........ 9.737847e+03 var 25: best............ 4.812287e+02 mean............ 4.765279e+02 variance........ 2.372388e+03 var 26: best............ 7.975748e+02 mean............ 7.908334e+02 variance........ 2.780960e+03 var 27: best............ 1.503871e+02 mean............ 1.603008e+02 variance........ 2.976501e+03 GENERATION: 41 Lexical Fit..... 0.000000e+00 1.110223e-16 1.110223e-16 3.552714e-15 3.996803e-15 3.996803e-15 4.662937e-15 1.121325e-14 3.497203e-14 6.430412e-13 1.956213e-12 4.355183e-12 2.412537e-09 6.429247e-09 3.410062e-08 8.448847e-08 1.471426e-07 1.609622e-07 4.252923e-07 4.252923e-07 4.252923e-07 5.234946e-07 9.257039e-07 9.257039e-07 9.257039e-07 9.257039e-07 1.147034e-06 1.695041e-06 1.974618e-06 3.357827e-06 6.055975e-06 2.104617e-05 2.350406e-05 2.800684e-05 3.340340e-05 3.340340e-05 3.340340e-05 6.014594e-05 4.089972e-04 6.398286e-04 9.661506e-04 1.267778e-03 2.165431e-03 3.624699e-03 9.558856e-03 9.558856e-03 1.505956e-02 1.505956e-02 1.900018e-01 2.752485e-01 3.497725e-01 3.839762e-01 4.149863e-01 4.619689e-01 #unique......... 178, #Total UniqueCount: 7453 var 1: best............ 1.912430e+01 mean............ 3.246842e+01 variance........ 7.006656e+03 var 2: best............ 9.447489e+02 mean............ 9.289290e+02 variance........ 9.328649e+03 var 3: best............ 8.535139e+02 mean............ 8.476560e+02 variance........ 2.541824e+03 var 4: best............ 3.030556e+02 mean............ 3.255491e+02 variance........ 5.647310e+03 var 5: best............ 4.058719e+01 mean............ 5.481617e+01 variance........ 4.973245e+03 var 6: best............ 9.123063e+02 mean............ 9.049102e+02 variance........ 3.101912e+03 var 7: best............ 6.030979e+01 mean............ 7.340743e+01 variance........ 6.416018e+03 var 8: best............ 7.178598e+01 mean............ 8.547528e+01 variance........ 7.776994e+03 var 9: best............ 7.748822e+02 mean............ 7.634002e+02 variance........ 6.668735e+03 var 10: best............ 5.572047e+01 mean............ 6.298976e+01 variance........ 2.326040e+03 var 11: best............ 5.796664e+02 mean............ 5.556355e+02 variance........ 5.416259e+03 var 12: best............ 8.943485e+02 mean............ 8.868785e+02 variance........ 3.881718e+03 var 13: best............ 1.974208e+01 mean............ 2.505091e+01 variance........ 1.315764e+03 var 14: best............ 3.116606e+01 mean............ 4.410782e+01 variance........ 6.578193e+03 var 15: best............ 3.539334e+01 mean............ 5.224265e+01 variance........ 8.716456e+03 var 16: best............ 2.107974e+01 mean............ 2.895683e+01 variance........ 2.158756e+03 var 17: best............ 9.420434e+00 mean............ 1.891659e+01 variance........ 3.523747e+03 var 18: best............ 8.316791e+02 mean............ 8.219753e+02 variance........ 8.691692e+03 var 19: best............ 7.124023e+02 mean............ 6.878985e+02 variance........ 7.344224e+03 var 20: best............ 2.174136e+02 mean............ 2.311469e+02 variance........ 6.189740e+03 var 21: best............ 9.749560e+02 mean............ 9.630869e+02 variance........ 7.353873e+03 var 22: best............ 2.151665e+02 mean............ 2.244188e+02 variance........ 2.811803e+03 var 23: best............ 1.242981e+02 mean............ 1.375136e+02 variance........ 4.852238e+03 var 24: best............ 3.827611e+00 mean............ 1.428823e+01 variance........ 5.262196e+03 var 25: best............ 4.812287e+02 mean............ 4.844881e+02 variance........ 1.293509e+03 var 26: best............ 7.975748e+02 mean............ 7.947299e+02 variance........ 7.535037e+02 var 27: best............ 1.503871e+02 mean............ 1.664653e+02 variance........ 6.387933e+03 GENERATION: 42 Lexical Fit..... 0.000000e+00 1.110223e-16 1.110223e-16 3.552714e-15 3.996803e-15 3.996803e-15 4.662937e-15 1.121325e-14 3.497203e-14 6.430412e-13 1.956213e-12 4.355183e-12 2.412537e-09 6.429247e-09 3.410062e-08 8.448847e-08 1.471426e-07 1.609622e-07 4.252923e-07 4.252923e-07 4.252923e-07 5.234946e-07 9.257039e-07 9.257039e-07 9.257039e-07 9.257039e-07 1.147034e-06 1.695041e-06 1.974618e-06 3.357827e-06 6.055975e-06 2.104617e-05 2.350406e-05 2.800684e-05 3.340340e-05 3.340340e-05 3.340340e-05 6.014594e-05 4.089972e-04 6.398286e-04 9.661506e-04 1.267778e-03 2.165431e-03 3.624699e-03 9.558856e-03 9.558856e-03 1.505956e-02 1.505956e-02 1.900018e-01 2.752485e-01 3.497725e-01 3.839762e-01 4.149863e-01 4.619689e-01 #unique......... 171, #Total UniqueCount: 7624 var 1: best............ 1.912430e+01 mean............ 2.794298e+01 variance........ 2.926245e+03 var 2: best............ 9.447489e+02 mean............ 9.340535e+02 variance........ 4.630651e+03 var 3: best............ 8.535139e+02 mean............ 8.482015e+02 variance........ 2.828351e+03 var 4: best............ 3.030556e+02 mean............ 3.205197e+02 variance........ 3.838895e+03 var 5: best............ 4.058719e+01 mean............ 5.200070e+01 variance........ 2.400977e+03 var 6: best............ 9.123063e+02 mean............ 9.054528e+02 variance........ 3.398909e+03 var 7: best............ 6.030979e+01 mean............ 6.695549e+01 variance........ 1.712948e+03 var 8: best............ 7.178598e+01 mean............ 8.178162e+01 variance........ 3.360771e+03 var 9: best............ 7.748822e+02 mean............ 7.714595e+02 variance........ 6.630263e+02 var 10: best............ 5.572047e+01 mean............ 6.988645e+01 variance........ 5.327508e+03 var 11: best............ 5.796664e+02 mean............ 5.620138e+02 variance........ 3.836936e+03 var 12: best............ 8.943485e+02 mean............ 8.884016e+02 variance........ 3.043740e+03 var 13: best............ 1.974208e+01 mean............ 3.063628e+01 variance........ 5.132013e+03 var 14: best............ 3.116606e+01 mean............ 4.474864e+01 variance........ 8.925395e+03 var 15: best............ 3.539334e+01 mean............ 4.499130e+01 variance........ 3.885203e+03 var 16: best............ 2.107974e+01 mean............ 3.318348e+01 variance........ 7.820108e+03 var 17: best............ 9.420434e+00 mean............ 1.336459e+01 variance........ 6.848137e+02 var 18: best............ 8.316791e+02 mean............ 8.293375e+02 variance........ 2.464765e+03 var 19: best............ 7.124023e+02 mean............ 6.981081e+02 variance........ 2.861132e+03 var 20: best............ 2.174136e+02 mean............ 2.245540e+02 variance........ 2.894489e+03 var 21: best............ 9.749560e+02 mean............ 9.653008e+02 variance........ 2.925629e+03 var 22: best............ 2.151665e+02 mean............ 2.232605e+02 variance........ 1.917971e+03 var 23: best............ 1.242981e+02 mean............ 1.384631e+02 variance........ 6.098962e+03 var 24: best............ 3.827611e+00 mean............ 1.124994e+01 variance........ 2.312885e+03 var 25: best............ 4.812287e+02 mean............ 4.831617e+02 variance........ 1.447672e+03 var 26: best............ 7.975748e+02 mean............ 7.886115e+02 variance........ 3.726522e+03 var 27: best............ 1.503871e+02 mean............ 1.615876e+02 variance........ 5.344750e+03 GENERATION: 43 Lexical Fit..... 0.000000e+00 1.110223e-16 1.110223e-16 3.552714e-15 3.996803e-15 3.996803e-15 4.662937e-15 1.121325e-14 3.497203e-14 6.430412e-13 1.956213e-12 4.355183e-12 2.412537e-09 6.429247e-09 3.410062e-08 8.448847e-08 1.471426e-07 1.609622e-07 4.252923e-07 4.252923e-07 4.252923e-07 5.234946e-07 9.257039e-07 9.257039e-07 9.257039e-07 9.257039e-07 1.147034e-06 1.695041e-06 1.974618e-06 3.357827e-06 6.055975e-06 2.104617e-05 2.350406e-05 2.800684e-05 3.340340e-05 3.340340e-05 3.340340e-05 6.014594e-05 4.089972e-04 6.398286e-04 9.661506e-04 1.267778e-03 2.165431e-03 3.624699e-03 9.558856e-03 9.558856e-03 1.505956e-02 1.505956e-02 1.900018e-01 2.752485e-01 3.497725e-01 3.839762e-01 4.149863e-01 4.619689e-01 #unique......... 175, #Total UniqueCount: 7799 var 1: best............ 1.912430e+01 mean............ 3.599639e+01 variance........ 7.450071e+03 var 2: best............ 9.447489e+02 mean............ 9.393721e+02 variance........ 1.412015e+03 var 3: best............ 8.535139e+02 mean............ 8.355616e+02 variance........ 8.729202e+03 var 4: best............ 3.030556e+02 mean............ 3.241925e+02 variance........ 3.621576e+03 var 5: best............ 4.058719e+01 mean............ 5.702386e+01 variance........ 6.010955e+03 var 6: best............ 9.123063e+02 mean............ 9.058726e+02 variance........ 2.990982e+03 var 7: best............ 6.030979e+01 mean............ 6.796776e+01 variance........ 2.550092e+03 var 8: best............ 7.178598e+01 mean............ 8.140393e+01 variance........ 4.237513e+03 var 9: best............ 7.748822e+02 mean............ 7.653610e+02 variance........ 4.766167e+03 var 10: best............ 5.572047e+01 mean............ 7.008527e+01 variance........ 5.715629e+03 var 11: best............ 5.796664e+02 mean............ 5.603720e+02 variance........ 4.050839e+03 var 12: best............ 8.943485e+02 mean............ 8.824743e+02 variance........ 5.779559e+03 var 13: best............ 1.974208e+01 mean............ 2.405068e+01 variance........ 1.196188e+03 var 14: best............ 3.116606e+01 mean............ 4.099168e+01 variance........ 6.153048e+03 var 15: best............ 3.539334e+01 mean............ 4.261140e+01 variance........ 2.505909e+03 var 16: best............ 2.107974e+01 mean............ 2.598929e+01 variance........ 1.068101e+03 var 17: best............ 9.420434e+00 mean............ 2.533784e+01 variance........ 8.649133e+03 var 18: best............ 8.316791e+02 mean............ 8.251480e+02 variance........ 4.060337e+03 var 19: best............ 7.124023e+02 mean............ 6.908024e+02 variance........ 3.577837e+03 var 20: best............ 2.174136e+02 mean............ 2.214832e+02 variance........ 2.523719e+03 var 21: best............ 9.749560e+02 mean............ 9.625350e+02 variance........ 6.863429e+03 var 22: best............ 2.151665e+02 mean............ 2.255847e+02 variance........ 2.855163e+03 var 23: best............ 1.242981e+02 mean............ 1.360870e+02 variance........ 4.820218e+03 var 24: best............ 3.827611e+00 mean............ 1.829095e+01 variance........ 7.911536e+03 var 25: best............ 4.812287e+02 mean............ 4.803720e+02 variance........ 1.020360e+03 var 26: best............ 7.975748e+02 mean............ 7.929699e+02 variance........ 1.888000e+03 var 27: best............ 1.503871e+02 mean............ 1.636591e+02 variance........ 5.425844e+03 GENERATION: 44 Lexical Fit..... 0.000000e+00 1.110223e-16 1.110223e-16 3.552714e-15 3.996803e-15 3.996803e-15 4.662937e-15 1.121325e-14 3.497203e-14 6.430412e-13 1.956213e-12 4.355183e-12 2.412537e-09 6.429247e-09 3.410062e-08 8.448847e-08 1.471426e-07 1.609622e-07 4.252923e-07 4.252923e-07 4.252923e-07 5.234946e-07 9.257039e-07 9.257039e-07 9.257039e-07 9.257039e-07 1.147034e-06 1.695041e-06 1.974618e-06 3.357827e-06 6.055975e-06 2.104617e-05 2.350406e-05 2.800684e-05 3.340340e-05 3.340340e-05 3.340340e-05 6.014594e-05 4.089972e-04 6.398286e-04 9.661506e-04 1.267778e-03 2.165431e-03 3.624699e-03 9.558856e-03 9.558856e-03 1.505956e-02 1.505956e-02 1.900018e-01 2.752485e-01 3.497725e-01 3.839762e-01 4.149863e-01 4.619689e-01 #unique......... 167, #Total UniqueCount: 7966 var 1: best............ 1.912430e+01 mean............ 2.962617e+01 variance........ 5.229324e+03 var 2: best............ 9.447489e+02 mean............ 9.293395e+02 variance........ 8.893824e+03 var 3: best............ 8.535139e+02 mean............ 8.460983e+02 variance........ 3.503340e+03 var 4: best............ 3.030556e+02 mean............ 3.257886e+02 variance........ 5.233012e+03 var 5: best............ 4.058719e+01 mean............ 4.572071e+01 variance........ 1.106943e+03 var 6: best............ 9.123063e+02 mean............ 9.073881e+02 variance........ 2.431171e+03 var 7: best............ 6.030979e+01 mean............ 6.488406e+01 variance........ 1.815432e+03 var 8: best............ 7.178598e+01 mean............ 7.669726e+01 variance........ 7.802995e+02 var 9: best............ 7.748822e+02 mean............ 7.701564e+02 variance........ 1.648510e+03 var 10: best............ 5.572047e+01 mean............ 6.692267e+01 variance........ 4.584168e+03 var 11: best............ 5.796664e+02 mean............ 5.577407e+02 variance........ 5.471093e+03 var 12: best............ 8.943485e+02 mean............ 8.849028e+02 variance........ 3.819204e+03 var 13: best............ 1.974208e+01 mean............ 2.854932e+01 variance........ 4.395269e+03 var 14: best............ 3.116606e+01 mean............ 3.683786e+01 variance........ 2.859093e+03 var 15: best............ 3.539334e+01 mean............ 5.318467e+01 variance........ 9.887764e+03 var 16: best............ 2.107974e+01 mean............ 2.974980e+01 variance........ 5.167938e+03 var 17: best............ 9.420434e+00 mean............ 2.270672e+01 variance........ 7.497082e+03 var 18: best............ 8.316791e+02 mean............ 8.304084e+02 variance........ 2.623947e+03 var 19: best............ 7.124023e+02 mean............ 6.986105e+02 variance........ 1.925956e+03 var 20: best............ 2.174136e+02 mean............ 2.239956e+02 variance........ 2.536648e+03 var 21: best............ 9.749560e+02 mean............ 9.658658e+02 variance........ 3.540128e+03 var 22: best............ 2.151665e+02 mean............ 2.212279e+02 variance........ 1.420884e+03 var 23: best............ 1.242981e+02 mean............ 1.306400e+02 variance........ 2.978128e+03 var 24: best............ 3.827611e+00 mean............ 1.506391e+01 variance........ 6.114995e+03 var 25: best............ 4.812287e+02 mean............ 4.817998e+02 variance........ 1.052666e+03 var 26: best............ 7.975748e+02 mean............ 7.914875e+02 variance........ 2.727797e+03 var 27: best............ 1.503871e+02 mean............ 1.543533e+02 variance........ 1.208038e+03 GENERATION: 45 Lexical Fit..... 0.000000e+00 1.110223e-16 1.110223e-16 3.552714e-15 3.996803e-15 3.996803e-15 4.662937e-15 1.121325e-14 3.497203e-14 6.430412e-13 1.956213e-12 4.355183e-12 2.412537e-09 6.429247e-09 3.410062e-08 8.448847e-08 1.471426e-07 1.609622e-07 4.252923e-07 4.252923e-07 4.252923e-07 5.234946e-07 9.257039e-07 9.257039e-07 9.257039e-07 9.257039e-07 1.147034e-06 1.695041e-06 1.974618e-06 3.357827e-06 6.055975e-06 2.104617e-05 2.350406e-05 2.800684e-05 3.340340e-05 3.340340e-05 3.340340e-05 6.014594e-05 4.089972e-04 6.398286e-04 9.661506e-04 1.267778e-03 2.165431e-03 3.624699e-03 9.558856e-03 9.558856e-03 1.505956e-02 1.505956e-02 1.900018e-01 2.752485e-01 3.497725e-01 3.839762e-01 4.149863e-01 4.619689e-01 #unique......... 175, #Total UniqueCount: 8141 var 1: best............ 1.912430e+01 mean............ 3.482292e+01 variance........ 7.585119e+03 var 2: best............ 9.447489e+02 mean............ 9.219365e+02 variance........ 1.111936e+04 var 3: best............ 8.535139e+02 mean............ 8.468340e+02 variance........ 2.115517e+03 var 4: best............ 3.030556e+02 mean............ 3.246170e+02 variance........ 4.743844e+03 var 5: best............ 4.058719e+01 mean............ 5.328708e+01 variance........ 4.956422e+03 var 6: best............ 9.123063e+02 mean............ 8.978182e+02 variance........ 7.307202e+03 var 7: best............ 6.030979e+01 mean............ 6.645964e+01 variance........ 3.141464e+03 var 8: best............ 7.178598e+01 mean............ 8.386314e+01 variance........ 6.111785e+03 var 9: best............ 7.748822e+02 mean............ 7.716365e+02 variance........ 1.753273e+03 var 10: best............ 5.572047e+01 mean............ 7.630560e+01 variance........ 1.197959e+04 var 11: best............ 5.796664e+02 mean............ 5.600830e+02 variance........ 6.228509e+03 var 12: best............ 8.943485e+02 mean............ 8.843711e+02 variance........ 3.774230e+03 var 13: best............ 1.974208e+01 mean............ 3.708032e+01 variance........ 8.537910e+03 var 14: best............ 3.116606e+01 mean............ 3.809538e+01 variance........ 2.270761e+03 var 15: best............ 3.539334e+01 mean............ 4.861105e+01 variance........ 4.472700e+03 var 16: best............ 2.107974e+01 mean............ 3.298647e+01 variance........ 4.202717e+03 var 17: best............ 9.420434e+00 mean............ 1.679593e+01 variance........ 1.905777e+03 var 18: best............ 8.316791e+02 mean............ 8.212414e+02 variance........ 6.277640e+03 var 19: best............ 7.124023e+02 mean............ 6.948252e+02 variance........ 4.181088e+03 var 20: best............ 2.174136e+02 mean............ 2.284135e+02 variance........ 6.504876e+03 var 21: best............ 9.749560e+02 mean............ 9.645843e+02 variance........ 3.767298e+03 var 22: best............ 2.151665e+02 mean............ 2.223557e+02 variance........ 1.363052e+03 var 23: best............ 1.242981e+02 mean............ 1.365552e+02 variance........ 5.025289e+03 var 24: best............ 3.827611e+00 mean............ 1.493519e+01 variance........ 5.093439e+03 var 25: best............ 4.812287e+02 mean............ 4.817736e+02 variance........ 2.785538e+02 var 26: best............ 7.975748e+02 mean............ 7.924762e+02 variance........ 1.803750e+03 var 27: best............ 1.503871e+02 mean............ 1.656575e+02 variance........ 8.004325e+03 Increasing 'max.generations' limit by 45 generations to 90 because the fitness is still improving. GENERATION: 46 Lexical Fit..... 0.000000e+00 1.110223e-16 1.110223e-16 3.552714e-15 3.996803e-15 3.996803e-15 4.662937e-15 1.121325e-14 3.497203e-14 6.430412e-13 1.956213e-12 4.355183e-12 2.412537e-09 6.429247e-09 3.410062e-08 8.448847e-08 1.471426e-07 1.609622e-07 4.252923e-07 4.252923e-07 4.252923e-07 5.234946e-07 9.257039e-07 9.257039e-07 9.257039e-07 9.257039e-07 1.147034e-06 1.695041e-06 1.974618e-06 3.357827e-06 6.055975e-06 2.104617e-05 2.350406e-05 2.800684e-05 3.340340e-05 3.340340e-05 3.340340e-05 6.014594e-05 4.089972e-04 6.398286e-04 9.661506e-04 1.267778e-03 2.165431e-03 3.624699e-03 9.558856e-03 9.558856e-03 1.505956e-02 1.505956e-02 1.900018e-01 2.752485e-01 3.497725e-01 3.839762e-01 4.149863e-01 4.619689e-01 #unique......... 177, #Total UniqueCount: 8318 var 1: best............ 1.912430e+01 mean............ 4.007353e+01 variance........ 1.085822e+04 var 2: best............ 9.447489e+02 mean............ 9.336442e+02 variance........ 3.650757e+03 var 3: best............ 8.535139e+02 mean............ 8.462123e+02 variance........ 3.219599e+03 var 4: best............ 3.030556e+02 mean............ 3.295521e+02 variance........ 6.921790e+03 var 5: best............ 4.058719e+01 mean............ 6.188147e+01 variance........ 8.142329e+03 var 6: best............ 9.123063e+02 mean............ 9.008050e+02 variance........ 5.003809e+03 var 7: best............ 6.030979e+01 mean............ 8.049258e+01 variance........ 1.258571e+04 var 8: best............ 7.178598e+01 mean............ 8.562521e+01 variance........ 6.763614e+03 var 9: best............ 7.748822e+02 mean............ 7.618512e+02 variance........ 7.704445e+03 var 10: best............ 5.572047e+01 mean............ 6.961572e+01 variance........ 4.302599e+03 var 11: best............ 5.796664e+02 mean............ 5.603551e+02 variance........ 3.406285e+03 var 12: best............ 8.943485e+02 mean............ 8.810149e+02 variance........ 5.557313e+03 var 13: best............ 1.974208e+01 mean............ 3.487903e+01 variance........ 9.007364e+03 var 14: best............ 3.116606e+01 mean............ 4.332027e+01 variance........ 6.269863e+03 var 15: best............ 3.539334e+01 mean............ 5.344123e+01 variance........ 9.339037e+03 var 16: best............ 2.107974e+01 mean............ 3.219201e+01 variance........ 4.337145e+03 var 17: best............ 9.420434e+00 mean............ 2.752178e+01 variance........ 8.253033e+03 var 18: best............ 8.316791e+02 mean............ 8.284633e+02 variance........ 6.864800e+03 var 19: best............ 7.124023e+02 mean............ 6.965474e+02 variance........ 3.427724e+03 var 20: best............ 2.174136e+02 mean............ 2.227499e+02 variance........ 1.356451e+03 var 21: best............ 9.749560e+02 mean............ 9.652031e+02 variance........ 3.895735e+03 var 22: best............ 2.151665e+02 mean............ 2.229050e+02 variance........ 3.363427e+03 var 23: best............ 1.242981e+02 mean............ 1.436551e+02 variance........ 1.025026e+04 var 24: best............ 3.827611e+00 mean............ 1.932803e+01 variance........ 7.367946e+03 var 25: best............ 4.812287e+02 mean............ 4.847889e+02 variance........ 1.524927e+03 var 26: best............ 7.975748e+02 mean............ 7.868727e+02 variance........ 5.354034e+03 var 27: best............ 1.503871e+02 mean............ 1.619993e+02 variance........ 4.804002e+03 GENERATION: 47 Lexical Fit..... 0.000000e+00 1.110223e-16 1.110223e-16 3.552714e-15 3.996803e-15 3.996803e-15 4.662937e-15 1.121325e-14 3.497203e-14 6.430412e-13 1.956213e-12 4.355183e-12 2.412537e-09 6.429247e-09 3.410062e-08 8.448847e-08 1.471426e-07 1.609622e-07 4.252923e-07 4.252923e-07 4.252923e-07 5.234946e-07 9.257039e-07 9.257039e-07 9.257039e-07 9.257039e-07 1.147034e-06 1.695041e-06 1.974618e-06 3.357827e-06 6.055975e-06 2.104617e-05 2.350406e-05 2.800684e-05 3.340340e-05 3.340340e-05 3.340340e-05 6.014594e-05 4.089972e-04 6.398286e-04 9.661506e-04 1.267778e-03 2.165431e-03 3.624699e-03 9.558856e-03 9.558856e-03 1.505956e-02 1.505956e-02 1.900018e-01 2.752485e-01 3.497725e-01 3.839762e-01 4.149863e-01 4.619689e-01 #unique......... 167, #Total UniqueCount: 8485 var 1: best............ 1.912430e+01 mean............ 3.706415e+01 variance........ 9.927443e+03 var 2: best............ 9.447489e+02 mean............ 9.337784e+02 variance........ 6.132059e+03 var 3: best............ 8.535139e+02 mean............ 8.432230e+02 variance........ 4.577624e+03 var 4: best............ 3.030556e+02 mean............ 3.304300e+02 variance........ 5.841931e+03 var 5: best............ 4.058719e+01 mean............ 4.777139e+01 variance........ 1.778461e+03 var 6: best............ 9.123063e+02 mean............ 9.098976e+02 variance........ 5.110653e+02 var 7: best............ 6.030979e+01 mean............ 7.493223e+01 variance........ 7.047757e+03 var 8: best............ 7.178598e+01 mean............ 8.483760e+01 variance........ 5.213855e+03 var 9: best............ 7.748822e+02 mean............ 7.713612e+02 variance........ 2.165730e+03 var 10: best............ 5.572047e+01 mean............ 6.125420e+01 variance........ 1.663988e+03 var 11: best............ 5.796664e+02 mean............ 5.578688e+02 variance........ 3.989029e+03 var 12: best............ 8.943485e+02 mean............ 8.843076e+02 variance........ 4.382690e+03 var 13: best............ 1.974208e+01 mean............ 3.716578e+01 variance........ 8.773548e+03 var 14: best............ 3.116606e+01 mean............ 5.077736e+01 variance........ 1.183866e+04 var 15: best............ 3.539334e+01 mean............ 5.560630e+01 variance........ 9.504382e+03 var 16: best............ 2.107974e+01 mean............ 3.171527e+01 variance........ 5.487339e+03 var 17: best............ 9.420434e+00 mean............ 2.257080e+01 variance........ 3.938438e+03 var 18: best............ 8.316791e+02 mean............ 8.245803e+02 variance........ 3.209888e+03 var 19: best............ 7.124023e+02 mean............ 6.894783e+02 variance........ 3.909035e+03 var 20: best............ 2.174136e+02 mean............ 2.243435e+02 variance........ 2.679175e+03 var 21: best............ 9.749560e+02 mean............ 9.654652e+02 variance........ 3.167643e+03 var 22: best............ 2.151665e+02 mean............ 2.221937e+02 variance........ 1.344342e+03 var 23: best............ 1.242981e+02 mean............ 1.442870e+02 variance........ 8.966706e+03 var 24: best............ 3.827611e+00 mean............ 1.108083e+01 variance........ 1.703216e+03 var 25: best............ 4.812287e+02 mean............ 4.769787e+02 variance........ 3.194534e+03 var 26: best............ 7.975748e+02 mean............ 7.905070e+02 variance........ 2.691935e+03 var 27: best............ 1.503871e+02 mean............ 1.549509e+02 variance........ 1.904618e+03 GENERATION: 48 Lexical Fit..... 0.000000e+00 1.110223e-16 1.110223e-16 3.552714e-15 3.996803e-15 3.996803e-15 4.662937e-15 1.121325e-14 3.497203e-14 6.430412e-13 1.956213e-12 4.355183e-12 2.412537e-09 6.429247e-09 3.410062e-08 8.448847e-08 1.471426e-07 1.609622e-07 4.252923e-07 4.252923e-07 4.252923e-07 5.234946e-07 9.257039e-07 9.257039e-07 9.257039e-07 9.257039e-07 1.147034e-06 1.695041e-06 1.974618e-06 3.357827e-06 6.055975e-06 2.104617e-05 2.350406e-05 2.800684e-05 3.340340e-05 3.340340e-05 3.340340e-05 6.014594e-05 4.089972e-04 6.398286e-04 9.661506e-04 1.267778e-03 2.165431e-03 3.624699e-03 9.558856e-03 9.558856e-03 1.505956e-02 1.505956e-02 1.900018e-01 2.752485e-01 3.497725e-01 3.839762e-01 4.149863e-01 4.619689e-01 #unique......... 165, #Total UniqueCount: 8650 var 1: best............ 1.912430e+01 mean............ 3.079452e+01 variance........ 4.399222e+03 var 2: best............ 9.447489e+02 mean............ 9.368707e+02 variance........ 2.432860e+03 var 3: best............ 8.535139e+02 mean............ 8.481765e+02 variance........ 2.645985e+03 var 4: best............ 3.030556e+02 mean............ 3.176684e+02 variance........ 4.909529e+03 var 5: best............ 4.058719e+01 mean............ 5.825021e+01 variance........ 7.467680e+03 var 6: best............ 9.123063e+02 mean............ 8.961005e+02 variance........ 8.263771e+03 var 7: best............ 6.030979e+01 mean............ 7.489157e+01 variance........ 6.814708e+03 var 8: best............ 7.178598e+01 mean............ 8.095950e+01 variance........ 3.307810e+03 var 9: best............ 7.748822e+02 mean............ 7.677053e+02 variance........ 3.500308e+03 var 10: best............ 5.572047e+01 mean............ 6.110879e+01 variance........ 3.193098e+03 var 11: best............ 5.796664e+02 mean............ 5.647667e+02 variance........ 3.138997e+03 var 12: best............ 8.943485e+02 mean............ 8.837245e+02 variance........ 3.547337e+03 var 13: best............ 1.974208e+01 mean............ 3.264894e+01 variance........ 3.903693e+03 var 14: best............ 3.116606e+01 mean............ 3.997403e+01 variance........ 4.022184e+03 var 15: best............ 3.539334e+01 mean............ 5.254049e+01 variance........ 8.549790e+03 var 16: best............ 2.107974e+01 mean............ 3.686462e+01 variance........ 1.052984e+04 var 17: best............ 9.420434e+00 mean............ 2.564226e+01 variance........ 7.435993e+03 var 18: best............ 8.316791e+02 mean............ 8.319352e+02 variance........ 4.365432e+03 var 19: best............ 7.124023e+02 mean............ 6.954651e+02 variance........ 4.798490e+03 var 20: best............ 2.174136e+02 mean............ 2.306135e+02 variance........ 5.947853e+03 var 21: best............ 9.749560e+02 mean............ 9.611630e+02 variance........ 5.445059e+03 var 22: best............ 2.151665e+02 mean............ 2.251600e+02 variance........ 2.516245e+03 var 23: best............ 1.242981e+02 mean............ 1.340088e+02 variance........ 3.450644e+03 var 24: best............ 3.827611e+00 mean............ 1.193821e+01 variance........ 2.850863e+03 var 25: best............ 4.812287e+02 mean............ 4.775381e+02 variance........ 1.908104e+03 var 26: best............ 7.975748e+02 mean............ 7.924540e+02 variance........ 1.145801e+03 var 27: best............ 1.503871e+02 mean............ 1.616170e+02 variance........ 4.504385e+03 GENERATION: 49 Lexical Fit..... 0.000000e+00 1.110223e-16 1.110223e-16 3.552714e-15 3.996803e-15 3.996803e-15 4.662937e-15 1.121325e-14 3.497203e-14 6.430412e-13 1.956213e-12 4.355183e-12 2.412537e-09 6.429247e-09 3.410062e-08 8.448847e-08 1.471426e-07 1.609622e-07 4.252923e-07 4.252923e-07 4.252923e-07 5.234946e-07 9.257039e-07 9.257039e-07 9.257039e-07 9.257039e-07 1.147034e-06 1.695041e-06 1.974618e-06 3.357827e-06 6.055975e-06 2.104617e-05 2.350406e-05 2.800684e-05 3.340340e-05 3.340340e-05 3.340340e-05 6.014594e-05 4.089972e-04 6.398286e-04 9.661506e-04 1.267778e-03 2.165431e-03 3.624699e-03 9.558856e-03 9.558856e-03 1.505956e-02 1.505956e-02 1.900018e-01 2.752485e-01 3.497725e-01 3.839762e-01 4.149863e-01 4.619689e-01 #unique......... 173, #Total UniqueCount: 8823 var 1: best............ 1.912430e+01 mean............ 3.005311e+01 variance........ 6.749875e+03 var 2: best............ 9.447489e+02 mean............ 9.412289e+02 variance........ 6.459386e+02 var 3: best............ 8.535139e+02 mean............ 8.455560e+02 variance........ 3.038348e+03 var 4: best............ 3.030556e+02 mean............ 3.294453e+02 variance........ 5.024707e+03 var 5: best............ 4.058719e+01 mean............ 5.725867e+01 variance........ 6.842958e+03 var 6: best............ 9.123063e+02 mean............ 9.066837e+02 variance........ 1.313367e+03 var 7: best............ 6.030979e+01 mean............ 7.629125e+01 variance........ 7.850321e+03 var 8: best............ 7.178598e+01 mean............ 8.603383e+01 variance........ 7.676825e+03 var 9: best............ 7.748822e+02 mean............ 7.704530e+02 variance........ 2.522789e+03 var 10: best............ 5.572047e+01 mean............ 7.141741e+01 variance........ 8.247365e+03 var 11: best............ 5.796664e+02 mean............ 5.560977e+02 variance........ 4.725633e+03 var 12: best............ 8.943485e+02 mean............ 8.884423e+02 variance........ 1.942730e+03 var 13: best............ 1.974208e+01 mean............ 2.800531e+01 variance........ 2.617673e+03 var 14: best............ 3.116606e+01 mean............ 4.048040e+01 variance........ 3.985624e+03 var 15: best............ 3.539334e+01 mean............ 4.497526e+01 variance........ 4.578117e+03 var 16: best............ 2.107974e+01 mean............ 3.265940e+01 variance........ 6.058831e+03 var 17: best............ 9.420434e+00 mean............ 2.156617e+01 variance........ 5.455589e+03 var 18: best............ 8.316791e+02 mean............ 8.274762e+02 variance........ 3.856771e+03 var 19: best............ 7.124023e+02 mean............ 6.932327e+02 variance........ 2.898347e+03 var 20: best............ 2.174136e+02 mean............ 2.249799e+02 variance........ 4.079958e+03 var 21: best............ 9.749560e+02 mean............ 9.669616e+02 variance........ 3.466911e+03 var 22: best............ 2.151665e+02 mean............ 2.261219e+02 variance........ 2.837587e+03 var 23: best............ 1.242981e+02 mean............ 1.279934e+02 variance........ 1.054464e+03 var 24: best............ 3.827611e+00 mean............ 1.697283e+01 variance........ 5.093346e+03 var 25: best............ 4.812287e+02 mean............ 4.818633e+02 variance........ 2.676035e+03 var 26: best............ 7.975748e+02 mean............ 7.960075e+02 variance........ 9.184828e+02 var 27: best............ 1.503871e+02 mean............ 1.611928e+02 variance........ 6.382704e+03 GENERATION: 50 Lexical Fit..... 0.000000e+00 1.110223e-16 1.110223e-16 3.552714e-15 3.996803e-15 3.996803e-15 4.662937e-15 1.121325e-14 3.497203e-14 6.430412e-13 1.956213e-12 4.355183e-12 2.412537e-09 6.429247e-09 3.410062e-08 8.448847e-08 1.471426e-07 1.609622e-07 4.252923e-07 4.252923e-07 4.252923e-07 5.234946e-07 9.257039e-07 9.257039e-07 9.257039e-07 9.257039e-07 1.147034e-06 1.695041e-06 1.974618e-06 3.357827e-06 6.055975e-06 2.104617e-05 2.350406e-05 2.800684e-05 3.340340e-05 3.340340e-05 3.340340e-05 6.014594e-05 4.089972e-04 6.398286e-04 9.661506e-04 1.267778e-03 2.165431e-03 3.624699e-03 9.558856e-03 9.558856e-03 1.505956e-02 1.505956e-02 1.900018e-01 2.752485e-01 3.497725e-01 3.839762e-01 4.149863e-01 4.619689e-01 #unique......... 178, #Total UniqueCount: 9001 var 1: best............ 1.912430e+01 mean............ 3.128325e+01 variance........ 4.999402e+03 var 2: best............ 9.447489e+02 mean............ 9.347518e+02 variance........ 3.909500e+03 var 3: best............ 8.535139e+02 mean............ 8.480733e+02 variance........ 1.902998e+03 var 4: best............ 3.030556e+02 mean............ 3.253053e+02 variance........ 4.084315e+03 var 5: best............ 4.058719e+01 mean............ 5.015786e+01 variance........ 2.076494e+03 var 6: best............ 9.123063e+02 mean............ 8.907547e+02 variance........ 1.068761e+04 var 7: best............ 6.030979e+01 mean............ 8.045550e+01 variance........ 1.232788e+04 var 8: best............ 7.178598e+01 mean............ 8.428159e+01 variance........ 4.428203e+03 var 9: best............ 7.748822e+02 mean............ 7.635249e+02 variance........ 5.584714e+03 var 10: best............ 5.572047e+01 mean............ 6.115866e+01 variance........ 1.448117e+03 var 11: best............ 5.796664e+02 mean............ 5.612131e+02 variance........ 3.741158e+03 var 12: best............ 8.943485e+02 mean............ 8.783785e+02 variance........ 7.290785e+03 var 13: best............ 1.974208e+01 mean............ 3.549312e+01 variance........ 8.330338e+03 var 14: best............ 3.116606e+01 mean............ 3.547401e+01 variance........ 2.245104e+03 var 15: best............ 3.539334e+01 mean............ 4.555696e+01 variance........ 4.471720e+03 var 16: best............ 2.107974e+01 mean............ 3.284497e+01 variance........ 5.693564e+03 var 17: best............ 9.420434e+00 mean............ 2.015710e+01 variance........ 3.874445e+03 var 18: best............ 8.316791e+02 mean............ 8.255658e+02 variance........ 4.746067e+03 var 19: best............ 7.124023e+02 mean............ 6.889910e+02 variance........ 5.081399e+03 var 20: best............ 2.174136e+02 mean............ 2.278532e+02 variance........ 3.960534e+03 var 21: best............ 9.749560e+02 mean............ 9.649393e+02 variance........ 5.547406e+03 var 22: best............ 2.151665e+02 mean............ 2.206526e+02 variance........ 1.156553e+03 var 23: best............ 1.242981e+02 mean............ 1.300577e+02 variance........ 2.063443e+03 var 24: best............ 3.827611e+00 mean............ 1.542026e+01 variance........ 5.708959e+03 var 25: best............ 4.812287e+02 mean............ 4.834239e+02 variance........ 1.344323e+03 var 26: best............ 7.975748e+02 mean............ 7.849971e+02 variance........ 4.506653e+03 var 27: best............ 1.503871e+02 mean............ 1.534985e+02 variance........ 8.560531e+02 GENERATION: 51 Lexical Fit..... 0.000000e+00 1.110223e-16 1.110223e-16 3.552714e-15 3.996803e-15 3.996803e-15 4.662937e-15 1.121325e-14 3.497203e-14 6.430412e-13 1.956213e-12 4.355183e-12 2.412537e-09 6.429247e-09 3.410062e-08 8.448847e-08 1.471426e-07 1.609622e-07 4.252923e-07 4.252923e-07 4.252923e-07 5.234946e-07 9.257039e-07 9.257039e-07 9.257039e-07 9.257039e-07 1.147034e-06 1.695041e-06 1.974618e-06 3.357827e-06 6.055975e-06 2.104617e-05 2.350406e-05 2.800684e-05 3.340340e-05 3.340340e-05 3.340340e-05 6.014594e-05 4.089972e-04 6.398286e-04 9.661506e-04 1.267778e-03 2.165431e-03 3.624699e-03 9.558856e-03 9.558856e-03 1.505956e-02 1.505956e-02 1.900018e-01 2.752485e-01 3.497725e-01 3.839762e-01 4.149863e-01 4.619689e-01 #unique......... 171, #Total UniqueCount: 9172 var 1: best............ 1.912430e+01 mean............ 3.755096e+01 variance........ 7.916106e+03 var 2: best............ 9.447489e+02 mean............ 9.298472e+02 variance........ 6.174853e+03 var 3: best............ 8.535139e+02 mean............ 8.413572e+02 variance........ 6.923393e+03 var 4: best............ 3.030556e+02 mean............ 3.294183e+02 variance........ 5.364845e+03 var 5: best............ 4.058719e+01 mean............ 5.081527e+01 variance........ 2.929718e+03 var 6: best............ 9.123063e+02 mean............ 8.948731e+02 variance........ 9.001515e+03 var 7: best............ 6.030979e+01 mean............ 7.583185e+01 variance........ 6.678299e+03 var 8: best............ 7.178598e+01 mean............ 8.039129e+01 variance........ 3.513424e+03 var 9: best............ 7.748822e+02 mean............ 7.590879e+02 variance........ 6.672040e+03 var 10: best............ 5.572047e+01 mean............ 6.444218e+01 variance........ 2.617346e+03 var 11: best............ 5.796664e+02 mean............ 5.609328e+02 variance........ 6.612200e+03 var 12: best............ 8.943485e+02 mean............ 8.765031e+02 variance........ 8.793501e+03 var 13: best............ 1.974208e+01 mean............ 3.059990e+01 variance........ 3.961581e+03 var 14: best............ 3.116606e+01 mean............ 3.982707e+01 variance........ 3.794174e+03 var 15: best............ 3.539334e+01 mean............ 4.749491e+01 variance........ 4.818489e+03 var 16: best............ 2.107974e+01 mean............ 3.843141e+01 variance........ 7.069467e+03 var 17: best............ 9.420434e+00 mean............ 1.772907e+01 variance........ 3.514177e+03 var 18: best............ 8.316791e+02 mean............ 8.235471e+02 variance........ 4.981252e+03 var 19: best............ 7.124023e+02 mean............ 6.910505e+02 variance........ 4.332463e+03 var 20: best............ 2.174136e+02 mean............ 2.223366e+02 variance........ 2.139014e+03 var 21: best............ 9.749560e+02 mean............ 9.647971e+02 variance........ 3.593278e+03 var 22: best............ 2.151665e+02 mean............ 2.229779e+02 variance........ 1.289123e+03 var 23: best............ 1.242981e+02 mean............ 1.296164e+02 variance........ 1.922675e+03 var 24: best............ 3.827611e+00 mean............ 8.430347e+00 variance........ 1.512879e+03 var 25: best............ 4.812287e+02 mean............ 4.827982e+02 variance........ 2.105267e+03 var 26: best............ 7.975748e+02 mean............ 7.884546e+02 variance........ 3.623588e+03 var 27: best............ 1.503871e+02 mean............ 1.541932e+02 variance........ 1.068564e+03 GENERATION: 52 Lexical Fit..... 0.000000e+00 1.110223e-16 1.110223e-16 3.552714e-15 3.996803e-15 3.996803e-15 4.662937e-15 1.121325e-14 3.497203e-14 6.430412e-13 1.956213e-12 4.355183e-12 2.412537e-09 6.429247e-09 3.410062e-08 8.448847e-08 1.471426e-07 1.609622e-07 4.252923e-07 4.252923e-07 4.252923e-07 5.234946e-07 9.257039e-07 9.257039e-07 9.257039e-07 9.257039e-07 1.147034e-06 1.695041e-06 1.974618e-06 3.357827e-06 6.055975e-06 2.104617e-05 2.350406e-05 2.800684e-05 3.340340e-05 3.340340e-05 3.340340e-05 6.014594e-05 4.089972e-04 6.398286e-04 9.661506e-04 1.267778e-03 2.165431e-03 3.624699e-03 9.558856e-03 9.558856e-03 1.505956e-02 1.505956e-02 1.900018e-01 2.752485e-01 3.497725e-01 3.839762e-01 4.149863e-01 4.619689e-01 #unique......... 161, #Total UniqueCount: 9333 var 1: best............ 1.912430e+01 mean............ 3.400045e+01 variance........ 6.975781e+03 var 2: best............ 9.447489e+02 mean............ 9.332052e+02 variance........ 6.097285e+03 var 3: best............ 8.535139e+02 mean............ 8.509356e+02 variance........ 1.051422e+03 var 4: best............ 3.030556e+02 mean............ 3.285333e+02 variance........ 6.318418e+03 var 5: best............ 4.058719e+01 mean............ 5.888060e+01 variance........ 1.148984e+04 var 6: best............ 9.123063e+02 mean............ 8.975850e+02 variance........ 6.910954e+03 var 7: best............ 6.030979e+01 mean............ 6.601475e+01 variance........ 1.469755e+03 var 8: best............ 7.178598e+01 mean............ 7.665135e+01 variance........ 2.156194e+03 var 9: best............ 7.748822e+02 mean............ 7.725157e+02 variance........ 1.991877e+03 var 10: best............ 5.572047e+01 mean............ 6.348204e+01 variance........ 3.480713e+03 var 11: best............ 5.796664e+02 mean............ 5.638342e+02 variance........ 4.925879e+03 var 12: best............ 8.943485e+02 mean............ 8.845871e+02 variance........ 4.710560e+03 var 13: best............ 1.974208e+01 mean............ 2.947751e+01 variance........ 3.540893e+03 var 14: best............ 3.116606e+01 mean............ 4.674179e+01 variance........ 9.719781e+03 var 15: best............ 3.539334e+01 mean............ 4.664499e+01 variance........ 5.684108e+03 var 16: best............ 2.107974e+01 mean............ 3.212379e+01 variance........ 5.110642e+03 var 17: best............ 9.420434e+00 mean............ 2.392388e+01 variance........ 6.399764e+03 var 18: best............ 8.316791e+02 mean............ 8.326511e+02 variance........ 2.735963e+03 var 19: best............ 7.124023e+02 mean............ 6.893762e+02 variance........ 5.765855e+03 var 20: best............ 2.174136e+02 mean............ 2.272927e+02 variance........ 3.836939e+03 var 21: best............ 9.749560e+02 mean............ 9.635525e+02 variance........ 5.256417e+03 var 22: best............ 2.151665e+02 mean............ 2.233579e+02 variance........ 2.022022e+03 var 23: best............ 1.242981e+02 mean............ 1.294190e+02 variance........ 1.579353e+03 var 24: best............ 3.827611e+00 mean............ 8.524746e+00 variance........ 1.376919e+03 var 25: best............ 4.812287e+02 mean............ 4.846781e+02 variance........ 3.123969e+03 var 26: best............ 7.975748e+02 mean............ 7.899682e+02 variance........ 5.090925e+03 var 27: best............ 1.503871e+02 mean............ 1.610767e+02 variance........ 6.270813e+03 GENERATION: 53 Lexical Fit..... 0.000000e+00 1.110223e-16 1.110223e-16 3.552714e-15 3.996803e-15 3.996803e-15 4.662937e-15 1.121325e-14 3.497203e-14 6.430412e-13 1.956213e-12 4.355183e-12 2.412537e-09 6.429247e-09 3.410062e-08 8.448847e-08 1.471426e-07 1.609622e-07 4.252923e-07 4.252923e-07 4.252923e-07 5.234946e-07 9.257039e-07 9.257039e-07 9.257039e-07 9.257039e-07 1.147034e-06 1.695041e-06 1.974618e-06 3.357827e-06 6.055975e-06 2.104617e-05 2.350406e-05 2.800684e-05 3.340340e-05 3.340340e-05 3.340340e-05 6.014594e-05 4.089972e-04 6.398286e-04 9.661506e-04 1.267778e-03 2.165431e-03 3.624699e-03 9.558856e-03 9.558856e-03 1.505956e-02 1.505956e-02 1.900018e-01 2.752485e-01 3.497725e-01 3.839762e-01 4.149863e-01 4.619689e-01 #unique......... 163, #Total UniqueCount: 9496 var 1: best............ 1.912430e+01 mean............ 3.418745e+01 variance........ 7.481995e+03 var 2: best............ 9.447489e+02 mean............ 9.348435e+02 variance........ 3.814168e+03 var 3: best............ 8.535139e+02 mean............ 8.446439e+02 variance........ 3.257612e+03 var 4: best............ 3.030556e+02 mean............ 3.179599e+02 variance........ 3.017673e+03 var 5: best............ 4.058719e+01 mean............ 5.159785e+01 variance........ 4.774634e+03 var 6: best............ 9.123063e+02 mean............ 9.027166e+02 variance........ 5.055912e+03 var 7: best............ 6.030979e+01 mean............ 7.176778e+01 variance........ 3.963421e+03 var 8: best............ 7.178598e+01 mean............ 7.629110e+01 variance........ 9.230842e+02 var 9: best............ 7.748822e+02 mean............ 7.683424e+02 variance........ 3.340394e+03 var 10: best............ 5.572047e+01 mean............ 6.282464e+01 variance........ 3.088827e+03 var 11: best............ 5.796664e+02 mean............ 5.656451e+02 variance........ 3.616683e+03 var 12: best............ 8.943485e+02 mean............ 8.863610e+02 variance........ 3.663619e+03 var 13: best............ 1.974208e+01 mean............ 2.740478e+01 variance........ 3.148951e+03 var 14: best............ 3.116606e+01 mean............ 3.728734e+01 variance........ 2.939436e+03 var 15: best............ 3.539334e+01 mean............ 4.766338e+01 variance........ 4.429018e+03 var 16: best............ 2.107974e+01 mean............ 2.883618e+01 variance........ 2.691717e+03 var 17: best............ 9.420434e+00 mean............ 2.202326e+01 variance........ 6.239840e+03 var 18: best............ 8.316791e+02 mean............ 8.305065e+02 variance........ 2.003540e+03 var 19: best............ 7.124023e+02 mean............ 7.002874e+02 variance........ 2.385319e+03 var 20: best............ 2.174136e+02 mean............ 2.273933e+02 variance........ 5.156487e+03 var 21: best............ 9.749560e+02 mean............ 9.720334e+02 variance........ 9.141640e+02 var 22: best............ 2.151665e+02 mean............ 2.255792e+02 variance........ 3.312517e+03 var 23: best............ 1.242981e+02 mean............ 1.315331e+02 variance........ 2.418048e+03 var 24: best............ 3.827611e+00 mean............ 9.383230e+00 variance........ 1.910594e+03 var 25: best............ 4.812287e+02 mean............ 4.816274e+02 variance........ 1.235744e+03 var 26: best............ 7.975748e+02 mean............ 7.864328e+02 variance........ 4.724484e+03 var 27: best............ 1.503871e+02 mean............ 1.561844e+02 variance........ 1.871141e+03 GENERATION: 54 Lexical Fit..... 0.000000e+00 1.110223e-16 1.110223e-16 3.552714e-15 3.996803e-15 3.996803e-15 4.662937e-15 1.121325e-14 3.497203e-14 6.430412e-13 1.956213e-12 4.355183e-12 2.412537e-09 6.429247e-09 3.410062e-08 8.448847e-08 1.471426e-07 1.609622e-07 4.252923e-07 4.252923e-07 4.252923e-07 5.234946e-07 9.257039e-07 9.257039e-07 9.257039e-07 9.257039e-07 1.147034e-06 1.695041e-06 1.974618e-06 3.357827e-06 6.055975e-06 2.104617e-05 2.350406e-05 2.800684e-05 3.340340e-05 3.340340e-05 3.340340e-05 6.014594e-05 4.089972e-04 6.398286e-04 9.661506e-04 1.267778e-03 2.165431e-03 3.624699e-03 9.558856e-03 9.558856e-03 1.505956e-02 1.505956e-02 1.900018e-01 2.752485e-01 3.497725e-01 3.839762e-01 4.149863e-01 4.619689e-01 #unique......... 165, #Total UniqueCount: 9661 var 1: best............ 1.912430e+01 mean............ 3.783642e+01 variance........ 8.281462e+03 var 2: best............ 9.447489e+02 mean............ 9.317197e+02 variance........ 4.883691e+03 var 3: best............ 8.535139e+02 mean............ 8.357822e+02 variance........ 7.023830e+03 var 4: best............ 3.030556e+02 mean............ 3.288615e+02 variance........ 6.979532e+03 var 5: best............ 4.058719e+01 mean............ 6.036230e+01 variance........ 8.127526e+03 var 6: best............ 9.123063e+02 mean............ 8.928680e+02 variance........ 8.940268e+03 var 7: best............ 6.030979e+01 mean............ 7.009027e+01 variance........ 2.874662e+03 var 8: best............ 7.178598e+01 mean............ 7.821193e+01 variance........ 2.104746e+03 var 9: best............ 7.748822e+02 mean............ 7.658081e+02 variance........ 5.399068e+03 var 10: best............ 5.572047e+01 mean............ 6.978256e+01 variance........ 7.651845e+03 var 11: best............ 5.796664e+02 mean............ 5.577019e+02 variance........ 5.270587e+03 var 12: best............ 8.943485e+02 mean............ 8.848534e+02 variance........ 2.302036e+03 var 13: best............ 1.974208e+01 mean............ 4.164866e+01 variance........ 1.192544e+04 var 14: best............ 3.116606e+01 mean............ 3.837114e+01 variance........ 1.672540e+03 var 15: best............ 3.539334e+01 mean............ 4.776875e+01 variance........ 5.046552e+03 var 16: best............ 2.107974e+01 mean............ 4.558019e+01 variance........ 1.140059e+04 var 17: best............ 9.420434e+00 mean............ 2.384534e+01 variance........ 5.716888e+03 var 18: best............ 8.316791e+02 mean............ 8.186903e+02 variance........ 5.106047e+03 var 19: best............ 7.124023e+02 mean............ 6.911940e+02 variance........ 4.063974e+03 var 20: best............ 2.174136e+02 mean............ 2.246927e+02 variance........ 4.311813e+03 var 21: best............ 9.749560e+02 mean............ 9.619370e+02 variance........ 7.668879e+03 var 22: best............ 2.151665e+02 mean............ 2.258889e+02 variance........ 2.824184e+03 var 23: best............ 1.242981e+02 mean............ 1.392178e+02 variance........ 7.696878e+03 var 24: best............ 3.827611e+00 mean............ 1.320877e+01 variance........ 2.931581e+03 var 25: best............ 4.812287e+02 mean............ 4.817279e+02 variance........ 6.196787e+02 var 26: best............ 7.975748e+02 mean............ 7.830638e+02 variance........ 5.332030e+03 var 27: best............ 1.503871e+02 mean............ 1.598926e+02 variance........ 4.377871e+03 GENERATION: 55 Lexical Fit..... 0.000000e+00 1.110223e-16 1.110223e-16 3.552714e-15 3.996803e-15 3.996803e-15 4.662937e-15 1.121325e-14 3.497203e-14 6.430412e-13 1.956213e-12 4.355183e-12 2.412537e-09 6.429247e-09 3.410062e-08 8.448847e-08 1.471426e-07 1.609622e-07 4.252923e-07 4.252923e-07 4.252923e-07 5.234946e-07 9.257039e-07 9.257039e-07 9.257039e-07 9.257039e-07 1.147034e-06 1.695041e-06 1.974618e-06 3.357827e-06 6.055975e-06 2.104617e-05 2.350406e-05 2.800684e-05 3.340340e-05 3.340340e-05 3.340340e-05 6.014594e-05 4.089972e-04 6.398286e-04 9.661506e-04 1.267778e-03 2.165431e-03 3.624699e-03 9.558856e-03 9.558856e-03 1.505956e-02 1.505956e-02 1.900018e-01 2.752485e-01 3.497725e-01 3.839762e-01 4.149863e-01 4.619689e-01 #unique......... 168, #Total UniqueCount: 9829 var 1: best............ 1.912430e+01 mean............ 3.444327e+01 variance........ 6.783458e+03 var 2: best............ 9.447489e+02 mean............ 9.271370e+02 variance........ 8.879983e+03 var 3: best............ 8.535139e+02 mean............ 8.336099e+02 variance........ 9.527240e+03 var 4: best............ 3.030556e+02 mean............ 3.250490e+02 variance........ 4.670894e+03 var 5: best............ 4.058719e+01 mean............ 5.672269e+01 variance........ 6.382457e+03 var 6: best............ 9.123063e+02 mean............ 8.885094e+02 variance........ 1.306114e+04 var 7: best............ 6.030979e+01 mean............ 6.368482e+01 variance........ 1.134971e+03 var 8: best............ 7.178598e+01 mean............ 8.651943e+01 variance........ 6.143431e+03 var 9: best............ 7.748822e+02 mean............ 7.705679e+02 variance........ 1.668764e+03 var 10: best............ 5.572047e+01 mean............ 7.211128e+01 variance........ 6.470392e+03 var 11: best............ 5.796664e+02 mean............ 5.615607e+02 variance........ 4.568252e+03 var 12: best............ 8.943485e+02 mean............ 8.833413e+02 variance........ 5.144880e+03 var 13: best............ 1.974208e+01 mean............ 4.468536e+01 variance........ 1.383375e+04 var 14: best............ 3.116606e+01 mean............ 3.720811e+01 variance........ 1.578783e+03 var 15: best............ 3.539334e+01 mean............ 4.915209e+01 variance........ 7.048828e+03 var 16: best............ 2.107974e+01 mean............ 3.202175e+01 variance........ 4.463272e+03 var 17: best............ 9.420434e+00 mean............ 2.411346e+01 variance........ 6.575942e+03 var 18: best............ 8.316791e+02 mean............ 8.212380e+02 variance........ 4.779610e+03 var 19: best............ 7.124023e+02 mean............ 6.987437e+02 variance........ 3.875795e+03 var 20: best............ 2.174136e+02 mean............ 2.289404e+02 variance........ 5.463970e+03 var 21: best............ 9.749560e+02 mean............ 9.620187e+02 variance........ 4.536410e+03 var 22: best............ 2.151665e+02 mean............ 2.214720e+02 variance........ 1.092695e+03 var 23: best............ 1.242981e+02 mean............ 1.324774e+02 variance........ 3.415163e+03 var 24: best............ 3.827611e+00 mean............ 1.142666e+01 variance........ 2.260197e+03 var 25: best............ 4.812287e+02 mean............ 4.838081e+02 variance........ 2.460330e+03 var 26: best............ 7.975748e+02 mean............ 7.897442e+02 variance........ 3.486552e+03 var 27: best............ 1.503871e+02 mean............ 1.593654e+02 variance........ 3.792014e+03 GENERATION: 56 Lexical Fit..... 0.000000e+00 1.110223e-16 1.110223e-16 3.552714e-15 3.996803e-15 3.996803e-15 4.662937e-15 1.121325e-14 3.497203e-14 6.430412e-13 1.956213e-12 4.355183e-12 2.412537e-09 6.429247e-09 3.410062e-08 8.448847e-08 1.471426e-07 1.609622e-07 4.252923e-07 4.252923e-07 4.252923e-07 5.234946e-07 9.257039e-07 9.257039e-07 9.257039e-07 9.257039e-07 1.147034e-06 1.695041e-06 1.974618e-06 3.357827e-06 6.055975e-06 2.104617e-05 2.350406e-05 2.800684e-05 3.340340e-05 3.340340e-05 3.340340e-05 6.014594e-05 4.089972e-04 6.398286e-04 9.661506e-04 1.267778e-03 2.165431e-03 3.624699e-03 9.558856e-03 9.558856e-03 1.505956e-02 1.505956e-02 1.900018e-01 2.752485e-01 3.497725e-01 3.839762e-01 4.149863e-01 4.619689e-01 #unique......... 173, #Total UniqueCount: 10002 var 1: best............ 1.912430e+01 mean............ 3.191328e+01 variance........ 6.909120e+03 var 2: best............ 9.447489e+02 mean............ 9.393659e+02 variance........ 1.772486e+03 var 3: best............ 8.535139e+02 mean............ 8.450934e+02 variance........ 4.705762e+03 var 4: best............ 3.030556e+02 mean............ 3.362053e+02 variance........ 3.651477e+03 var 5: best............ 4.058719e+01 mean............ 5.296478e+01 variance........ 4.234258e+03 var 6: best............ 9.123063e+02 mean............ 9.084515e+02 variance........ 1.180753e+03 var 7: best............ 6.030979e+01 mean............ 6.871770e+01 variance........ 4.940410e+03 var 8: best............ 7.178598e+01 mean............ 8.202978e+01 variance........ 4.417825e+03 var 9: best............ 7.748822e+02 mean............ 7.726735e+02 variance........ 1.260190e+03 var 10: best............ 5.572047e+01 mean............ 7.145233e+01 variance........ 8.662257e+03 var 11: best............ 5.796664e+02 mean............ 5.458494e+02 variance........ 6.518724e+03 var 12: best............ 8.943485e+02 mean............ 8.885688e+02 variance........ 3.452485e+03 var 13: best............ 1.974208e+01 mean............ 3.297219e+01 variance........ 7.429162e+03 var 14: best............ 3.116606e+01 mean............ 4.011512e+01 variance........ 3.784051e+03 var 15: best............ 3.539334e+01 mean............ 3.932505e+01 variance........ 1.077942e+03 var 16: best............ 2.107974e+01 mean............ 3.377809e+01 variance........ 7.217920e+03 var 17: best............ 9.420434e+00 mean............ 1.292970e+01 variance........ 1.397208e+03 var 18: best............ 8.316791e+02 mean............ 8.262487e+02 variance........ 3.017850e+03 var 19: best............ 7.124023e+02 mean............ 6.905161e+02 variance........ 3.209183e+03 var 20: best............ 2.174136e+02 mean............ 2.243787e+02 variance........ 3.357547e+03 var 21: best............ 9.749560e+02 mean............ 9.606916e+02 variance........ 6.701887e+03 var 22: best............ 2.151665e+02 mean............ 2.266976e+02 variance........ 2.442860e+03 var 23: best............ 1.242981e+02 mean............ 1.289491e+02 variance........ 1.754228e+03 var 24: best............ 3.827611e+00 mean............ 1.216441e+01 variance........ 3.385040e+03 var 25: best............ 4.812287e+02 mean............ 4.842805e+02 variance........ 9.036447e+02 var 26: best............ 7.975748e+02 mean............ 7.900623e+02 variance........ 3.231697e+03 var 27: best............ 1.503871e+02 mean............ 1.593385e+02 variance........ 4.507090e+03 GENERATION: 57 Lexical Fit..... 0.000000e+00 1.110223e-16 1.110223e-16 3.552714e-15 3.996803e-15 3.996803e-15 4.662937e-15 1.121325e-14 3.497203e-14 6.430412e-13 1.956213e-12 4.355183e-12 2.412537e-09 6.429247e-09 3.410062e-08 8.448847e-08 1.471426e-07 1.609622e-07 4.252923e-07 4.252923e-07 4.252923e-07 5.234946e-07 9.257039e-07 9.257039e-07 9.257039e-07 9.257039e-07 1.147034e-06 1.695041e-06 1.974618e-06 3.357827e-06 6.055975e-06 2.104617e-05 2.350406e-05 2.800684e-05 3.340340e-05 3.340340e-05 3.340340e-05 6.014594e-05 4.089972e-04 6.398286e-04 9.661506e-04 1.267778e-03 2.165431e-03 3.624699e-03 9.558856e-03 9.558856e-03 1.505956e-02 1.505956e-02 1.900018e-01 2.752485e-01 3.497725e-01 3.839762e-01 4.149863e-01 4.619689e-01 #unique......... 162, #Total UniqueCount: 10164 var 1: best............ 1.912430e+01 mean............ 2.869664e+01 variance........ 3.432644e+03 var 2: best............ 9.447489e+02 mean............ 9.371628e+02 variance........ 3.688034e+03 var 3: best............ 8.535139e+02 mean............ 8.470082e+02 variance........ 1.929013e+03 var 4: best............ 3.030556e+02 mean............ 3.226435e+02 variance........ 4.101919e+03 var 5: best............ 4.058719e+01 mean............ 4.737503e+01 variance........ 1.695288e+03 var 6: best............ 9.123063e+02 mean............ 9.054319e+02 variance........ 2.696773e+03 var 7: best............ 6.030979e+01 mean............ 6.501322e+01 variance........ 1.343153e+03 var 8: best............ 7.178598e+01 mean............ 7.443721e+01 variance........ 4.095881e+02 var 9: best............ 7.748822e+02 mean............ 7.668155e+02 variance........ 3.240422e+03 var 10: best............ 5.572047e+01 mean............ 6.886848e+01 variance........ 7.126854e+03 var 11: best............ 5.796664e+02 mean............ 5.590918e+02 variance........ 4.426411e+03 var 12: best............ 8.943485e+02 mean............ 8.888393e+02 variance........ 2.496271e+03 var 13: best............ 1.974208e+01 mean............ 2.328296e+01 variance........ 8.610222e+02 var 14: best............ 3.116606e+01 mean............ 4.221815e+01 variance........ 4.068947e+03 var 15: best............ 3.539334e+01 mean............ 4.670866e+01 variance........ 5.551886e+03 var 16: best............ 2.107974e+01 mean............ 2.971327e+01 variance........ 4.075103e+03 var 17: best............ 9.420434e+00 mean............ 1.505089e+01 variance........ 2.863975e+03 var 18: best............ 8.316791e+02 mean............ 8.296265e+02 variance........ 1.615349e+03 var 19: best............ 7.124023e+02 mean............ 7.022830e+02 variance........ 2.043921e+03 var 20: best............ 2.174136e+02 mean............ 2.241003e+02 variance........ 2.166381e+03 var 21: best............ 9.749560e+02 mean............ 9.600158e+02 variance........ 6.977112e+03 var 22: best............ 2.151665e+02 mean............ 2.252879e+02 variance........ 2.983659e+03 var 23: best............ 1.242981e+02 mean............ 1.313803e+02 variance........ 3.054947e+03 var 24: best............ 3.827611e+00 mean............ 7.965773e+00 variance........ 2.090512e+03 var 25: best............ 4.812287e+02 mean............ 4.802018e+02 variance........ 1.589789e+03 var 26: best............ 7.975748e+02 mean............ 7.897475e+02 variance........ 6.519736e+03 var 27: best............ 1.503871e+02 mean............ 1.525549e+02 variance........ 2.618016e+02 GENERATION: 58 Lexical Fit..... 0.000000e+00 1.110223e-16 1.110223e-16 3.552714e-15 3.996803e-15 3.996803e-15 4.662937e-15 1.121325e-14 3.497203e-14 6.430412e-13 1.956213e-12 4.355183e-12 2.412537e-09 6.429247e-09 3.410062e-08 8.448847e-08 1.471426e-07 1.609622e-07 4.252923e-07 4.252923e-07 4.252923e-07 5.234946e-07 9.257039e-07 9.257039e-07 9.257039e-07 9.257039e-07 1.147034e-06 1.695041e-06 1.974618e-06 3.357827e-06 6.055975e-06 2.104617e-05 2.350406e-05 2.800684e-05 3.340340e-05 3.340340e-05 3.340340e-05 6.014594e-05 4.089972e-04 6.398286e-04 9.661506e-04 1.267778e-03 2.165431e-03 3.624699e-03 9.558856e-03 9.558856e-03 1.505956e-02 1.505956e-02 1.900018e-01 2.752485e-01 3.497725e-01 3.839762e-01 4.149863e-01 4.619689e-01 #unique......... 161, #Total UniqueCount: 10325 var 1: best............ 1.912430e+01 mean............ 3.473427e+01 variance........ 8.018029e+03 var 2: best............ 9.447489e+02 mean............ 9.365343e+02 variance........ 3.850990e+03 var 3: best............ 8.535139e+02 mean............ 8.422921e+02 variance........ 3.807471e+03 var 4: best............ 3.030556e+02 mean............ 3.270758e+02 variance........ 4.526058e+03 var 5: best............ 4.058719e+01 mean............ 4.967017e+01 variance........ 2.522000e+03 var 6: best............ 9.123063e+02 mean............ 9.020912e+02 variance........ 4.642977e+03 var 7: best............ 6.030979e+01 mean............ 8.086175e+01 variance........ 9.986970e+03 var 8: best............ 7.178598e+01 mean............ 8.137566e+01 variance........ 4.070446e+03 var 9: best............ 7.748822e+02 mean............ 7.735449e+02 variance........ 1.335203e+03 var 10: best............ 5.572047e+01 mean............ 7.314163e+01 variance........ 7.864357e+03 var 11: best............ 5.796664e+02 mean............ 5.550619e+02 variance........ 4.730622e+03 var 12: best............ 8.943485e+02 mean............ 8.788195e+02 variance........ 8.633191e+03 var 13: best............ 1.974208e+01 mean............ 2.551350e+01 variance........ 1.638656e+03 var 14: best............ 3.116606e+01 mean............ 3.240749e+01 variance........ 4.213571e+02 var 15: best............ 3.539334e+01 mean............ 4.918062e+01 variance........ 7.383937e+03 var 16: best............ 2.107974e+01 mean............ 3.108102e+01 variance........ 4.061106e+03 var 17: best............ 9.420434e+00 mean............ 2.408360e+01 variance........ 7.180934e+03 var 18: best............ 8.316791e+02 mean............ 8.193265e+02 variance........ 7.492056e+03 var 19: best............ 7.124023e+02 mean............ 6.940118e+02 variance........ 2.993173e+03 var 20: best............ 2.174136e+02 mean............ 2.236053e+02 variance........ 3.248626e+03 var 21: best............ 9.749560e+02 mean............ 9.604548e+02 variance........ 6.648885e+03 var 22: best............ 2.151665e+02 mean............ 2.285413e+02 variance........ 3.267608e+03 var 23: best............ 1.242981e+02 mean............ 1.273650e+02 variance........ 8.666112e+02 var 24: best............ 3.827611e+00 mean............ 2.138763e+01 variance........ 7.741616e+03 var 25: best............ 4.812287e+02 mean............ 4.823194e+02 variance........ 3.865769e+03 var 26: best............ 7.975748e+02 mean............ 7.889376e+02 variance........ 3.657364e+03 var 27: best............ 1.503871e+02 mean............ 1.674795e+02 variance........ 7.254472e+03 'wait.generations' limit reached. No significant improvement in 25 generations. Solution Lexical Fitness Value: 0.000000e+00 1.110223e-16 1.110223e-16 3.552714e-15 3.996803e-15 3.996803e-15 4.662937e-15 1.121325e-14 3.497203e-14 6.430412e-13 1.956213e-12 4.355183e-12 2.412537e-09 6.429247e-09 3.410062e-08 8.448847e-08 1.471426e-07 1.609622e-07 4.252923e-07 4.252923e-07 4.252923e-07 5.234946e-07 9.257039e-07 9.257039e-07 9.257039e-07 9.257039e-07 1.147034e-06 1.695041e-06 1.974618e-06 3.357827e-06 6.055975e-06 2.104617e-05 2.350406e-05 2.800684e-05 3.340340e-05 3.340340e-05 3.340340e-05 6.014594e-05 4.089972e-04 6.398286e-04 9.661506e-04 1.267778e-03 2.165431e-03 3.624699e-03 9.558856e-03 9.558856e-03 1.505956e-02 1.505956e-02 1.900018e-01 2.752485e-01 3.497725e-01 3.839762e-01 4.149863e-01 4.619689e-01 Parameters at the Solution: X[ 1] : 1.912430e+01 X[ 2] : 9.447489e+02 X[ 3] : 8.535139e+02 X[ 4] : 3.030556e+02 X[ 5] : 4.058719e+01 X[ 6] : 9.123063e+02 X[ 7] : 6.030979e+01 X[ 8] : 7.178598e+01 X[ 9] : 7.748822e+02 X[10] : 5.572047e+01 X[11] : 5.796664e+02 X[12] : 8.943485e+02 X[13] : 1.974208e+01 X[14] : 3.116606e+01 X[15] : 3.539334e+01 X[16] : 2.107974e+01 X[17] : 9.420434e+00 X[18] : 8.316791e+02 X[19] : 7.124023e+02 X[20] : 2.174136e+02 X[21] : 9.749560e+02 X[22] : 2.151665e+02 X[23] : 1.242981e+02 X[24] : 3.827611e+00 X[25] : 4.812287e+02 X[26] : 7.975748e+02 X[27] : 1.503871e+02 Solution Found Generation 32 Number of Generations Run 58 Fri Dec 20 10:20:42 2019 Total run time : 0 hours 4 minutes and 22 seconds
mout = Match(Tr = Tr, X = X.all, M=1, Weight.matrix = genout)
summary(mout)
Estimate... 0 SE......... 0 T-stat..... NaN p.val...... NA Original number of observations.............. 130 Original number of treated obs............... 99 Matched number of observations............... 99 Matched number of observations (unweighted). 99
mb <- MatchBalance(after.data$treat ~ after.data$state + after.data$pcgsdp + after.data$pfemale + after.data$plit + after.data$pwlit + after.data$prural, match.out=mout, nboots=500)
***** (V1) after.data$state ***** Before Matching After Matching mean treatment........ 6.9091 6.9091 mean control.......... 8.5484 9.6566 std mean diff......... -32.599 -54.636 mean raw eQQ diff..... 2.1613 2.7475 med raw eQQ diff..... 1 1 max raw eQQ diff..... 9 9 mean eCDF diff........ 0.13851 0.15354 med eCDF diff........ 0.12284 0.13131 max eCDF diff........ 0.33464 0.39394 var ratio (Tr/Co)..... 0.65871 0.80819 T-test p-value........ 0.18686 2.3504e-05 KS Bootstrap p-value.. 0.002 < 2.22e-16 KS Naive p-value...... 0.010111 4.2529e-07 KS Statistic.......... 0.33464 0.39394 ***** (V2) after.data$pcgsdp ***** Before Matching After Matching mean treatment........ 2.1787 2.1787 mean control.......... 1.164 1.5901 std mean diff......... 143.57 83.278 mean raw eQQ diff..... 1.0135 0.58905 med raw eQQ diff..... 0.93248 0.46903 max raw eQQ diff..... 2.3154 2.3154 mean eCDF diff........ 0.42017 0.2749 med eCDF diff........ 0.42929 0.26263 max eCDF diff........ 0.75562 0.61616 var ratio (Tr/Co)..... 4.1453 4.8249 T-test p-value........ < 2.22e-16 3.9968e-15 KS Bootstrap p-value.. < 2.22e-16 < 2.22e-16 KS Naive p-value...... 5.9952e-14 < 2.22e-16 KS Statistic.......... 0.75562 0.61616 ***** (V3) after.data$pfemale ***** Before Matching After Matching mean treatment........ 0.93402 0.93402 mean control.......... 0.91168 0.93679 std mean diff......... 54.573 -6.7665 mean raw eQQ diff..... 0.029935 0.010638 med raw eQQ diff..... 0.022884 0.0087351 max raw eQQ diff..... 0.054991 0.033243 mean eCDF diff........ 0.20641 0.077882 med eCDF diff........ 0.24373 0.070707 max eCDF diff........ 0.41219 0.22222 var ratio (Tr/Co)..... 4.068 1.2681 T-test p-value........ 9.4019e-05 0.34977 KS Bootstrap p-value.. 0.002 0.002 KS Naive p-value...... 0.00039652 0.01506 KS Statistic.......... 0.41219 0.22222 ***** (V4) after.data$plit ***** Before Matching After Matching mean treatment........ 0.55776 0.55776 mean control.......... 0.44882 0.51977 std mean diff......... 131.34 45.798 mean raw eQQ diff..... 0.10727 0.038961 med raw eQQ diff..... 0.10429 0.03291 max raw eQQ diff..... 0.17097 0.1375 mean eCDF diff........ 0.35533 0.13943 med eCDF diff........ 0.35761 0.13131 max eCDF diff........ 0.63245 0.38384 var ratio (Tr/Co)..... 2.1262 1.6804 T-test p-value........ 4.4098e-12 1.4714e-07 KS Bootstrap p-value.. < 2.22e-16 < 2.22e-16 KS Naive p-value...... 1.7559e-09 9.257e-07 KS Statistic.......... 0.63245 0.38384 ***** (V5) after.data$pwlit ***** Before Matching After Matching mean treatment........ 0.46168 0.46168 mean control.......... 0.34436 0.42484 std mean diff......... 119.33 37.462 mean raw eQQ diff..... 0.11511 0.039307 med raw eQQ diff..... 0.12534 0.028737 max raw eQQ diff..... 0.17462 0.16177 mean eCDF diff........ 0.32959 0.12244 med eCDF diff........ 0.35761 0.11111 max eCDF diff........ 0.5334 0.38384 var ratio (Tr/Co)..... 1.9776 1.7505 T-test p-value........ 2.8749e-10 1.695e-06 KS Bootstrap p-value.. < 2.22e-16 < 2.22e-16 KS Naive p-value...... 1.009e-06 9.257e-07 KS Statistic.......... 0.5334 0.38384 ***** (V6) after.data$prural ***** Before Matching After Matching mean treatment........ 0.74033 0.74033 mean control.......... 0.81251 0.73625 std mean diff......... -66.339 3.7538 mean raw eQQ diff..... 0.081253 0.030271 med raw eQQ diff..... 0.074682 0.023051 max raw eQQ diff..... 0.21918 0.10901 mean eCDF diff........ 0.25724 0.080902 med eCDF diff........ 0.23656 0.070707 max eCDF diff........ 0.5536 0.23232 var ratio (Tr/Co)..... 3.2615 1.1261 T-test p-value........ 9.2926e-06 0.41499 KS Bootstrap p-value.. < 2.22e-16 0.006 KS Naive p-value...... 3.1028e-07 0.0095589 KS Statistic.......... 0.5536 0.23232 Before Matching Minimum p.value: < 2.22e-16 Variable Name(s): after.data$pcgsdp after.data$plit after.data$pwlit after.data$prural Number(s): 2 4 5 6 After Matching Minimum p.value: < 2.22e-16 Variable Name(s): after.data$state after.data$pcgsdp after.data$plit after.data$pwlit Number(s): 1 2 4 5
mout = Match(Y=Y, Tr = Tr, X = X.all, M=1, Weight.matrix = genout)
summary(mout)
Estimate... 0.054215 AI SE...... 0.03617 T-stat..... 1.4989 p.val...... 0.1339 Original number of observations.............. 130 Original number of treated obs............... 99 Matched number of observations............... 99 Matched number of observations (unweighted). 99
attach(before.data)
X = cbind(state, pcgsdp, pfemale, plit, pwlit, prural)
X.all = cbind(state, pcgsdp, pfemale, plit, pwlit, prural, state^2, pcgsdp^2, pfemale^2, plit^2, pwlit^2, prural^2,
state*pcgsdp, state*pfemale, state*plit, state*pwlit, state*prural,
pcgsdp*pfemale, pcgsdp*plit, pcgsdp*pwlit, pcgsdp*prural,
pfemale*plit, pfemale*pwlit, pfemale*prural, plit*pwlit, plit*prural, pwlit*prural)
Tr = treat
Y = pcr_womtot
detach(before.data)
The following object is masked _by_ .GlobalEnv: X
genout = GenMatch(Tr = Tr, X = X.all, M=1, pop.size = 250,
max.generations = 20, wait.generations = 25)
Fri Dec 20 10:20:43 2019 Domains: 0.000000e+00 <= X1 <= 1.000000e+03 0.000000e+00 <= X2 <= 1.000000e+03 0.000000e+00 <= X3 <= 1.000000e+03 0.000000e+00 <= X4 <= 1.000000e+03 0.000000e+00 <= X5 <= 1.000000e+03 0.000000e+00 <= X6 <= 1.000000e+03 0.000000e+00 <= X7 <= 1.000000e+03 0.000000e+00 <= X8 <= 1.000000e+03 0.000000e+00 <= X9 <= 1.000000e+03 0.000000e+00 <= X10 <= 1.000000e+03 0.000000e+00 <= X11 <= 1.000000e+03 0.000000e+00 <= X12 <= 1.000000e+03 0.000000e+00 <= X13 <= 1.000000e+03 0.000000e+00 <= X14 <= 1.000000e+03 0.000000e+00 <= X15 <= 1.000000e+03 0.000000e+00 <= X16 <= 1.000000e+03 0.000000e+00 <= X17 <= 1.000000e+03 0.000000e+00 <= X18 <= 1.000000e+03 0.000000e+00 <= X19 <= 1.000000e+03 0.000000e+00 <= X20 <= 1.000000e+03 0.000000e+00 <= X21 <= 1.000000e+03 0.000000e+00 <= X22 <= 1.000000e+03 0.000000e+00 <= X23 <= 1.000000e+03 0.000000e+00 <= X24 <= 1.000000e+03 0.000000e+00 <= X25 <= 1.000000e+03 0.000000e+00 <= X26 <= 1.000000e+03 0.000000e+00 <= X27 <= 1.000000e+03 Data Type: Floating Point Operators (code number, name, population) (1) Cloning........................... 30 (2) Uniform Mutation.................. 31 (3) Boundary Mutation................. 31 (4) Non-Uniform Mutation.............. 31 (5) Polytope Crossover................ 31 (6) Simple Crossover.................. 32 (7) Whole Non-Uniform Mutation........ 31 (8) Heuristic Crossover............... 32 (9) Local-Minimum Crossover........... 0 SOFT Maximum Number of Generations: 20 Maximum Nonchanging Generations: 25 Population size : 250 Convergence Tolerance: 1.000000e-03 Not Using the BFGS Derivative Based Optimizer on the Best Individual Each Generation. Not Checking Gradients before Stopping. Using Out of Bounds Individuals. Maximization Problem. GENERATION: 0 (initializing the population) Lexical Fit..... 8.852150e-08 9.431144e-08 1.169723e-07 1.230700e-07 1.722511e-07 2.268592e-07 2.733605e-07 4.413216e-07 5.728545e-07 7.872736e-07 7.889980e-07 1.040951e-06 1.902085e-06 2.142962e-06 4.886798e-06 5.022626e-06 7.041035e-06 1.035134e-05 1.051435e-05 1.187738e-05 2.872238e-05 4.222110e-05 2.123067e-02 2.123067e-02 2.123067e-02 5.035351e-02 5.035351e-02 5.035351e-02 5.035351e-02 5.035351e-02 5.035351e-02 5.035351e-02 5.035351e-02 1.090329e-01 1.090329e-01 1.090329e-01 1.090329e-01 1.090329e-01 1.090329e-01 1.090329e-01 1.090329e-01 1.090329e-01 1.090329e-01 1.090329e-01 2.153739e-01 2.153739e-01 2.153739e-01 3.794570e-01 4.083897e-01 4.558007e-01 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 #unique......... 250, #Total UniqueCount: 250 var 1: best............ 1.000000e+00 mean............ 5.327855e+02 variance........ 9.030723e+04 var 2: best............ 1.000000e+00 mean............ 4.780133e+02 variance........ 8.681165e+04 var 3: best............ 1.000000e+00 mean............ 5.097220e+02 variance........ 8.329315e+04 var 4: best............ 1.000000e+00 mean............ 4.927830e+02 variance........ 8.227885e+04 var 5: best............ 1.000000e+00 mean............ 4.770400e+02 variance........ 8.078711e+04 var 6: best............ 1.000000e+00 mean............ 4.786488e+02 variance........ 8.905253e+04 var 7: best............ 1.000000e+00 mean............ 4.940981e+02 variance........ 8.093168e+04 var 8: best............ 1.000000e+00 mean............ 5.046726e+02 variance........ 8.354808e+04 var 9: best............ 1.000000e+00 mean............ 5.070715e+02 variance........ 8.229971e+04 var 10: best............ 1.000000e+00 mean............ 4.781169e+02 variance........ 8.663116e+04 var 11: best............ 1.000000e+00 mean............ 4.791785e+02 variance........ 9.528998e+04 var 12: best............ 1.000000e+00 mean............ 5.294383e+02 variance........ 8.608798e+04 var 13: best............ 1.000000e+00 mean............ 4.726052e+02 variance........ 8.419930e+04 var 14: best............ 1.000000e+00 mean............ 4.805445e+02 variance........ 8.321999e+04 var 15: best............ 1.000000e+00 mean............ 4.627961e+02 variance........ 7.767079e+04 var 16: best............ 1.000000e+00 mean............ 4.981668e+02 variance........ 8.220074e+04 var 17: best............ 1.000000e+00 mean............ 4.970537e+02 variance........ 8.206096e+04 var 18: best............ 1.000000e+00 mean............ 5.021098e+02 variance........ 8.165988e+04 var 19: best............ 1.000000e+00 mean............ 4.853210e+02 variance........ 8.635633e+04 var 20: best............ 1.000000e+00 mean............ 5.137982e+02 variance........ 7.891104e+04 var 21: best............ 1.000000e+00 mean............ 4.365555e+02 variance........ 8.474674e+04 var 22: best............ 1.000000e+00 mean............ 4.820234e+02 variance........ 8.181185e+04 var 23: best............ 1.000000e+00 mean............ 4.962391e+02 variance........ 8.385563e+04 var 24: best............ 1.000000e+00 mean............ 5.026413e+02 variance........ 8.272374e+04 var 25: best............ 1.000000e+00 mean............ 5.226735e+02 variance........ 7.607758e+04 var 26: best............ 1.000000e+00 mean............ 5.187625e+02 variance........ 8.169717e+04 var 27: best............ 1.000000e+00 mean............ 4.599821e+02 variance........ 8.447027e+04 GENERATION: 1 Lexical Fit..... 2.873262e-03 9.362375e-03 9.362707e-03 1.015017e-02 1.125487e-02 1.203164e-02 1.276111e-02 1.713341e-02 2.244750e-02 2.333791e-02 2.432738e-02 2.458772e-02 2.648772e-02 2.958072e-02 3.689190e-02 4.003545e-02 4.664455e-02 4.805574e-02 5.035351e-02 5.035351e-02 5.579899e-02 6.245153e-02 6.651493e-02 7.201880e-02 1.090329e-01 1.090329e-01 1.090329e-01 1.090329e-01 1.090329e-01 2.136543e-01 2.153739e-01 2.153739e-01 2.180892e-01 3.865045e-01 3.865045e-01 3.865045e-01 3.865045e-01 3.865045e-01 3.865045e-01 3.865045e-01 6.208099e-01 6.208099e-01 6.208099e-01 6.208099e-01 6.208099e-01 6.208099e-01 6.208099e-01 6.208099e-01 6.208099e-01 6.208099e-01 6.833166e-01 7.350992e-01 7.522752e-01 7.588957e-01 #unique......... 185, #Total UniqueCount: 435 var 1: best............ 1.000000e+00 mean............ 3.937819e+02 variance........ 1.058240e+05 var 2: best............ 1.000000e+00 mean............ 3.204672e+02 variance........ 8.765716e+04 var 3: best............ 1.000000e+00 mean............ 2.935469e+02 variance........ 6.781148e+04 var 4: best............ 1.000000e+00 mean............ 2.525599e+02 variance........ 5.629132e+04 var 5: best............ 1.000000e+00 mean............ 3.485351e+02 variance........ 9.795313e+04 var 6: best............ 1.000000e+00 mean............ 2.603354e+02 variance........ 6.781277e+04 var 7: best............ 1.000000e+00 mean............ 2.492251e+02 variance........ 5.968245e+04 var 8: best............ 1.000000e+00 mean............ 3.132224e+02 variance........ 7.293865e+04 var 9: best............ 1.000000e+00 mean............ 2.815778e+02 variance........ 7.700228e+04 var 10: best............ 1.000000e+00 mean............ 1.975100e+02 variance........ 5.997673e+04 var 11: best............ 1.000000e+00 mean............ 2.824448e+02 variance........ 8.592386e+04 var 12: best............ 1.000000e+00 mean............ 2.779212e+02 variance........ 1.001740e+05 var 13: best............ 1.000000e+00 mean............ 3.019268e+02 variance........ 8.297027e+04 var 14: best............ 1.000000e+00 mean............ 3.941728e+02 variance........ 9.823556e+04 var 15: best............ 1.000000e+00 mean............ 3.054319e+02 variance........ 7.764611e+04 var 16: best............ 1.000000e+00 mean............ 3.444973e+02 variance........ 8.205513e+04 var 17: best............ 1.000000e+00 mean............ 2.489342e+02 variance........ 1.004237e+05 var 18: best............ 1.000000e+00 mean............ 4.046139e+02 variance........ 1.087659e+05 var 19: best............ 4.899488e+02 mean............ 2.080046e+02 variance........ 5.798660e+04 var 20: best............ 1.000000e+00 mean............ 3.010364e+02 variance........ 7.865511e+04 var 21: best............ 1.000000e+00 mean............ 1.929586e+02 variance........ 6.094663e+04 var 22: best............ 1.000000e+00 mean............ 2.716133e+02 variance........ 6.764688e+04 var 23: best............ 1.000000e+00 mean............ 3.540562e+02 variance........ 9.173700e+04 var 24: best............ 1.000000e+00 mean............ 2.222731e+02 variance........ 5.855113e+04 var 25: best............ 1.000000e+00 mean............ 3.938160e+02 variance........ 1.063512e+05 var 26: best............ 1.000000e+00 mean............ 2.681507e+02 variance........ 8.592345e+04 var 27: best............ 1.000000e+00 mean............ 4.370839e+02 variance........ 1.399110e+05 GENERATION: 2 Lexical Fit..... 2.873262e-03 9.362375e-03 9.362707e-03 1.015017e-02 1.125487e-02 1.203164e-02 1.276111e-02 1.713341e-02 2.244750e-02 2.333791e-02 2.432738e-02 2.458772e-02 2.648772e-02 2.958072e-02 3.689190e-02 4.003545e-02 4.664455e-02 4.805574e-02 5.035351e-02 5.035351e-02 5.579899e-02 6.245153e-02 6.651493e-02 7.201880e-02 1.090329e-01 1.090329e-01 1.090329e-01 1.090329e-01 1.090329e-01 2.136543e-01 2.153739e-01 2.153739e-01 2.180892e-01 3.865045e-01 3.865045e-01 3.865045e-01 3.865045e-01 3.865045e-01 3.865045e-01 3.865045e-01 6.208099e-01 6.208099e-01 6.208099e-01 6.208099e-01 6.208099e-01 6.208099e-01 6.208099e-01 6.208099e-01 6.208099e-01 6.208099e-01 6.833166e-01 7.350992e-01 7.522752e-01 7.588957e-01 #unique......... 154, #Total UniqueCount: 589 var 1: best............ 1.000000e+00 mean............ 1.356641e+02 variance........ 6.878212e+04 var 2: best............ 1.000000e+00 mean............ 1.154837e+02 variance........ 5.470714e+04 var 3: best............ 1.000000e+00 mean............ 1.248346e+02 variance........ 6.077459e+04 var 4: best............ 1.000000e+00 mean............ 1.035627e+02 variance........ 4.413898e+04 var 5: best............ 1.000000e+00 mean............ 1.128216e+02 variance........ 5.640503e+04 var 6: best............ 1.000000e+00 mean............ 1.033057e+02 variance........ 5.032302e+04 var 7: best............ 1.000000e+00 mean............ 1.182144e+02 variance........ 5.436732e+04 var 8: best............ 1.000000e+00 mean............ 1.217056e+02 variance........ 6.149353e+04 var 9: best............ 1.000000e+00 mean............ 1.311685e+02 variance........ 6.266986e+04 var 10: best............ 1.000000e+00 mean............ 1.293960e+02 variance........ 6.162639e+04 var 11: best............ 1.000000e+00 mean............ 1.190831e+02 variance........ 5.787755e+04 var 12: best............ 1.000000e+00 mean............ 1.385531e+02 variance........ 7.529049e+04 var 13: best............ 1.000000e+00 mean............ 1.227779e+02 variance........ 6.066853e+04 var 14: best............ 1.000000e+00 mean............ 1.360653e+02 variance........ 6.895033e+04 var 15: best............ 1.000000e+00 mean............ 2.086367e+02 variance........ 5.948544e+04 var 16: best............ 1.000000e+00 mean............ 1.094044e+02 variance........ 5.047584e+04 var 17: best............ 1.000000e+00 mean............ 1.369733e+02 variance........ 7.144215e+04 var 18: best............ 1.000000e+00 mean............ 1.397687e+02 variance........ 6.938238e+04 var 19: best............ 4.899488e+02 mean............ 2.697755e+02 variance........ 6.424433e+04 var 20: best............ 1.000000e+00 mean............ 1.233591e+02 variance........ 6.100389e+04 var 21: best............ 1.000000e+00 mean............ 9.966921e+01 variance........ 4.412248e+04 var 22: best............ 1.000000e+00 mean............ 1.047025e+02 variance........ 4.491805e+04 var 23: best............ 1.000000e+00 mean............ 1.260119e+02 variance........ 6.461211e+04 var 24: best............ 1.000000e+00 mean............ 1.129755e+02 variance........ 5.373176e+04 var 25: best............ 1.000000e+00 mean............ 1.172352e+02 variance........ 5.860790e+04 var 26: best............ 1.000000e+00 mean............ 1.242415e+02 variance........ 6.482003e+04 var 27: best............ 1.000000e+00 mean............ 1.951008e+02 variance........ 9.023063e+04 GENERATION: 3 Lexical Fit..... 1.797307e-02 1.955436e-02 2.123067e-02 2.203630e-02 2.315097e-02 2.398570e-02 2.547662e-02 2.746063e-02 2.925001e-02 3.597121e-02 4.135010e-02 4.257932e-02 4.428467e-02 5.035351e-02 5.337826e-02 8.227461e-02 1.034972e-01 1.090329e-01 1.604996e-01 1.820190e-01 2.103490e-01 2.143325e-01 2.153739e-01 2.432758e-01 3.803395e-01 3.865045e-01 3.865045e-01 3.865045e-01 3.865045e-01 3.877130e-01 6.208099e-01 6.208099e-01 6.208099e-01 6.208099e-01 6.208099e-01 6.208099e-01 6.208099e-01 6.208099e-01 6.208099e-01 6.208099e-01 6.208099e-01 6.208099e-01 6.208099e-01 6.208099e-01 6.208099e-01 8.078341e-01 8.137474e-01 8.330386e-01 8.602552e-01 8.602552e-01 8.602552e-01 8.602552e-01 9.932581e-01 9.940639e-01 #unique......... 164, #Total UniqueCount: 753 var 1: best............ 1.000000e+00 mean............ 2.202497e+01 variance........ 5.434338e+03 var 2: best............ 1.000000e+00 mean............ 2.177458e+01 variance........ 8.555222e+03 var 3: best............ 1.000000e+00 mean............ 1.874713e+01 variance........ 4.804451e+03 var 4: best............ 1.000000e+00 mean............ 1.208265e+01 variance........ 1.931599e+03 var 5: best............ 9.986212e-01 mean............ 2.197584e+01 variance........ 7.060558e+03 var 6: best............ 8.937201e-01 mean............ 1.776851e+01 variance........ 5.108089e+03 var 7: best............ 9.737897e-01 mean............ 1.790879e+01 variance........ 3.678536e+03 var 8: best............ 1.000000e+00 mean............ 1.802836e+01 variance........ 5.514631e+03 var 9: best............ 1.000000e+00 mean............ 2.394061e+01 variance........ 8.299179e+03 var 10: best............ 2.243829e+01 mean............ 3.113319e+01 variance........ 1.237409e+04 var 11: best............ 1.000000e+00 mean............ 1.667965e+01 variance........ 5.984122e+03 var 12: best............ 1.000000e+00 mean............ 1.625709e+01 variance........ 4.274696e+03 var 13: best............ 1.000000e+00 mean............ 1.020915e+01 variance........ 1.998273e+03 var 14: best............ 1.000000e+00 mean............ 1.290193e+01 variance........ 2.189295e+03 var 15: best............ 1.000000e+00 mean............ 3.140314e+01 variance........ 1.012902e+04 var 16: best............ 1.000000e+00 mean............ 1.759658e+01 variance........ 5.612203e+03 var 17: best............ 1.000000e+00 mean............ 1.932689e+01 variance........ 5.235877e+03 var 18: best............ 1.000000e+00 mean............ 1.517172e+01 variance........ 4.113490e+03 var 19: best............ 4.899488e+02 mean............ 4.661777e+02 variance........ 1.156071e+04 var 20: best............ 1.382071e+02 mean............ 2.099795e+01 variance........ 5.195955e+03 var 21: best............ 1.000000e+00 mean............ 2.138782e+01 variance........ 8.272220e+03 var 22: best............ 9.399122e-01 mean............ 2.047873e+01 variance........ 5.657947e+03 var 23: best............ 1.000000e+00 mean............ 1.611644e+01 variance........ 3.512380e+03 var 24: best............ 1.000000e+00 mean............ 2.120003e+01 variance........ 6.918699e+03 var 25: best............ 1.000000e+00 mean............ 6.170090e+00 variance........ 6.462405e+02 var 26: best............ 1.000000e+00 mean............ 2.197245e+01 variance........ 7.452681e+03 var 27: best............ 9.803608e-01 mean............ 2.351275e+01 variance........ 7.980919e+03 GENERATION: 4 Lexical Fit..... 2.003818e-02 2.123067e-02 2.357542e-02 2.562049e-02 2.661625e-02 2.733010e-02 2.911425e-02 3.456292e-02 3.905960e-02 4.245438e-02 4.510717e-02 4.547991e-02 4.746808e-02 5.035351e-02 5.750981e-02 7.911985e-02 1.034972e-01 1.090329e-01 1.619628e-01 1.823135e-01 1.914489e-01 2.143325e-01 2.153739e-01 2.328760e-01 3.500241e-01 3.735355e-01 3.865045e-01 3.865045e-01 3.865045e-01 3.865045e-01 6.208099e-01 6.208099e-01 6.208099e-01 6.208099e-01 6.208099e-01 6.208099e-01 6.208099e-01 6.208099e-01 6.208099e-01 6.208099e-01 6.208099e-01 6.208099e-01 6.208099e-01 6.208099e-01 6.208099e-01 8.055631e-01 8.515892e-01 8.602552e-01 8.602552e-01 8.602552e-01 8.602552e-01 9.009411e-01 9.884424e-01 9.885595e-01 #unique......... 184, #Total UniqueCount: 937 var 1: best............ 1.000000e+00 mean............ 1.317346e+01 variance........ 2.817835e+03 var 2: best............ 1.000000e+00 mean............ 3.100514e+01 variance........ 1.521126e+04 var 3: best............ 1.000000e+00 mean............ 2.214043e+01 variance........ 5.871737e+03 var 4: best............ 1.000000e+00 mean............ 2.466157e+01 variance........ 1.041340e+04 var 5: best............ 9.986212e-01 mean............ 1.475769e+01 variance........ 2.887929e+03 var 6: best............ 8.937201e-01 mean............ 2.284268e+01 variance........ 9.079213e+03 var 7: best............ 9.737897e-01 mean............ 1.627898e+01 variance........ 4.743682e+03 var 8: best............ 1.000000e+00 mean............ 3.055877e+01 variance........ 8.752398e+03 var 9: best............ 1.000000e+00 mean............ 1.905544e+01 variance........ 7.470879e+03 var 10: best............ 2.243829e+01 mean............ 3.550690e+01 variance........ 9.640321e+03 var 11: best............ 1.000000e+00 mean............ 1.716368e+01 variance........ 7.342643e+03 var 12: best............ 1.000000e+00 mean............ 1.753394e+01 variance........ 4.502479e+03 var 13: best............ 1.000000e+00 mean............ 2.306745e+01 variance........ 6.427338e+03 var 14: best............ 1.000000e+00 mean............ 2.599804e+01 variance........ 1.340584e+04 var 15: best............ 1.000000e+00 mean............ 2.526983e+01 variance........ 1.330659e+04 var 16: best............ 1.000000e+00 mean............ 1.359424e+01 variance........ 2.985195e+03 var 17: best............ 1.000000e+00 mean............ 2.106795e+01 variance........ 7.108108e+03 var 18: best............ 1.000000e+00 mean............ 2.383431e+01 variance........ 8.046295e+03 var 19: best............ 4.899488e+02 mean............ 4.886239e+02 variance........ 2.499967e+03 var 20: best............ 7.232832e+01 mean............ 8.349406e+01 variance........ 1.032910e+04 var 21: best............ 1.000000e+00 mean............ 2.194380e+01 variance........ 8.020765e+03 var 22: best............ 9.399122e-01 mean............ 2.105952e+01 variance........ 5.737114e+03 var 23: best............ 1.000000e+00 mean............ 1.435971e+01 variance........ 3.805588e+03 var 24: best............ 1.000000e+00 mean............ 2.575136e+01 variance........ 8.621658e+03 var 25: best............ 1.000000e+00 mean............ 2.248842e+01 variance........ 7.720133e+03 var 26: best............ 1.000000e+00 mean............ 2.322916e+01 variance........ 9.293406e+03 var 27: best............ 9.803608e-01 mean............ 2.641008e+01 variance........ 9.344207e+03 GENERATION: 5 Lexical Fit..... 2.003818e-02 2.123067e-02 2.357542e-02 2.562049e-02 2.661625e-02 2.733010e-02 2.911425e-02 3.456292e-02 3.905960e-02 4.245438e-02 4.510717e-02 4.547991e-02 4.746808e-02 5.035351e-02 5.750981e-02 7.911985e-02 1.034972e-01 1.090329e-01 1.619628e-01 1.823135e-01 1.914489e-01 2.143325e-01 2.153739e-01 2.328760e-01 3.500241e-01 3.735355e-01 3.865045e-01 3.865045e-01 3.865045e-01 3.865045e-01 6.208099e-01 6.208099e-01 6.208099e-01 6.208099e-01 6.208099e-01 6.208099e-01 6.208099e-01 6.208099e-01 6.208099e-01 6.208099e-01 6.208099e-01 6.208099e-01 6.208099e-01 6.208099e-01 6.208099e-01 8.055631e-01 8.515892e-01 8.602552e-01 8.602552e-01 8.602552e-01 8.602552e-01 9.009411e-01 9.884424e-01 9.885595e-01 #unique......... 182, #Total UniqueCount: 1119 var 1: best............ 1.000000e+00 mean............ 2.083050e+01 variance........ 6.412835e+03 var 2: best............ 1.000000e+00 mean............ 6.614000e+00 variance........ 5.387519e+02 var 3: best............ 1.000000e+00 mean............ 1.782318e+01 variance........ 7.417341e+03 var 4: best............ 1.000000e+00 mean............ 2.103872e+01 variance........ 7.558258e+03 var 5: best............ 9.986212e-01 mean............ 1.875435e+01 variance........ 5.927269e+03 var 6: best............ 8.937201e-01 mean............ 1.456989e+01 variance........ 5.135358e+03 var 7: best............ 9.737897e-01 mean............ 1.096255e+01 variance........ 2.311366e+03 var 8: best............ 1.000000e+00 mean............ 1.791206e+01 variance........ 4.459028e+03 var 9: best............ 1.000000e+00 mean............ 2.033452e+01 variance........ 9.266788e+03 var 10: best............ 2.243829e+01 mean............ 2.974303e+01 variance........ 1.776460e+03 var 11: best............ 1.000000e+00 mean............ 1.770891e+01 variance........ 5.638487e+03 var 12: best............ 1.000000e+00 mean............ 1.918792e+01 variance........ 7.002441e+03 var 13: best............ 1.000000e+00 mean............ 1.723329e+01 variance........ 8.582448e+03 var 14: best............ 1.000000e+00 mean............ 1.676497e+01 variance........ 8.126353e+03 var 15: best............ 1.000000e+00 mean............ 1.790847e+01 variance........ 7.123597e+03 var 16: best............ 1.000000e+00 mean............ 2.058557e+01 variance........ 6.794827e+03 var 17: best............ 1.000000e+00 mean............ 1.606209e+01 variance........ 8.363404e+03 var 18: best............ 1.000000e+00 mean............ 1.871383e+01 variance........ 7.016817e+03 var 19: best............ 4.899488e+02 mean............ 4.911353e+02 variance........ 2.211467e+03 var 20: best............ 7.232832e+01 mean............ 1.036685e+02 variance........ 2.878201e+03 var 21: best............ 1.000000e+00 mean............ 1.608260e+01 variance........ 4.811835e+03 var 22: best............ 9.399122e-01 mean............ 1.464735e+01 variance........ 5.630475e+03 var 23: best............ 1.000000e+00 mean............ 1.262937e+01 variance........ 3.997017e+03 var 24: best............ 1.000000e+00 mean............ 1.543383e+01 variance........ 4.557149e+03 var 25: best............ 1.000000e+00 mean............ 1.468922e+01 variance........ 4.056208e+03 var 26: best............ 1.000000e+00 mean............ 9.425956e+00 variance........ 1.430074e+03 var 27: best............ 9.803608e-01 mean............ 1.487693e+01 variance........ 5.140618e+03 GENERATION: 6 Lexical Fit..... 2.003818e-02 2.123067e-02 2.357542e-02 2.562049e-02 2.661625e-02 2.733010e-02 2.911425e-02 3.456292e-02 3.905960e-02 4.245438e-02 4.510717e-02 4.547991e-02 4.746808e-02 5.035351e-02 5.750981e-02 7.911985e-02 1.034972e-01 1.090329e-01 1.619628e-01 1.823135e-01 1.914489e-01 2.143325e-01 2.153739e-01 2.328760e-01 3.500241e-01 3.735355e-01 3.865045e-01 3.865045e-01 3.865045e-01 3.865045e-01 6.208099e-01 6.208099e-01 6.208099e-01 6.208099e-01 6.208099e-01 6.208099e-01 6.208099e-01 6.208099e-01 6.208099e-01 6.208099e-01 6.208099e-01 6.208099e-01 6.208099e-01 6.208099e-01 6.208099e-01 8.055631e-01 8.515892e-01 8.602552e-01 8.602552e-01 8.602552e-01 8.602552e-01 9.009411e-01 9.884424e-01 9.885595e-01 #unique......... 162, #Total UniqueCount: 1281 var 1: best............ 1.000000e+00 mean............ 1.333749e+01 variance........ 4.054925e+03 var 2: best............ 1.000000e+00 mean............ 2.571211e+01 variance........ 1.350049e+04 var 3: best............ 1.000000e+00 mean............ 2.044397e+01 variance........ 9.937022e+03 var 4: best............ 1.000000e+00 mean............ 1.759277e+01 variance........ 8.782482e+03 var 5: best............ 9.986212e-01 mean............ 1.535326e+01 variance........ 5.458189e+03 var 6: best............ 8.937201e-01 mean............ 9.452962e+00 variance........ 2.890919e+03 var 7: best............ 9.737897e-01 mean............ 1.548683e+01 variance........ 7.043363e+03 var 8: best............ 1.000000e+00 mean............ 1.232840e+01 variance........ 4.113547e+03 var 9: best............ 1.000000e+00 mean............ 2.195457e+01 variance........ 8.879510e+03 var 10: best............ 2.243829e+01 mean............ 3.880637e+01 variance........ 7.126524e+03 var 11: best............ 1.000000e+00 mean............ 2.298003e+01 variance........ 1.208497e+04 var 12: best............ 1.000000e+00 mean............ 1.458427e+01 variance........ 7.143222e+03 var 13: best............ 1.000000e+00 mean............ 1.690726e+01 variance........ 6.010875e+03 var 14: best............ 1.000000e+00 mean............ 1.403446e+01 variance........ 4.349722e+03 var 15: best............ 1.000000e+00 mean............ 1.093466e+01 variance........ 2.413618e+03 var 16: best............ 1.000000e+00 mean............ 1.995435e+01 variance........ 1.100934e+04 var 17: best............ 1.000000e+00 mean............ 1.800215e+01 variance........ 5.753794e+03 var 18: best............ 1.000000e+00 mean............ 2.093866e+01 variance........ 9.529395e+03 var 19: best............ 4.899488e+02 mean............ 4.932043e+02 variance........ 7.733186e+02 var 20: best............ 7.232832e+01 mean............ 8.638552e+01 variance........ 5.434633e+03 var 21: best............ 1.000000e+00 mean............ 1.830273e+01 variance........ 7.166065e+03 var 22: best............ 9.399122e-01 mean............ 1.331855e+01 variance........ 4.309293e+03 var 23: best............ 1.000000e+00 mean............ 1.306380e+01 variance........ 4.560980e+03 var 24: best............ 1.000000e+00 mean............ 1.991389e+01 variance........ 9.741849e+03 var 25: best............ 1.000000e+00 mean............ 1.234958e+01 variance........ 4.719442e+03 var 26: best............ 1.000000e+00 mean............ 1.590104e+01 variance........ 6.779804e+03 var 27: best............ 9.803608e-01 mean............ 1.054459e+01 variance........ 1.965459e+03 GENERATION: 7 Lexical Fit..... 2.003818e-02 2.123067e-02 2.357542e-02 2.562049e-02 2.661625e-02 2.733010e-02 2.911425e-02 3.456292e-02 3.905960e-02 4.245438e-02 4.510717e-02 4.547991e-02 4.746808e-02 5.035351e-02 5.750981e-02 7.911985e-02 1.034972e-01 1.090329e-01 1.619628e-01 1.823135e-01 1.914489e-01 2.143325e-01 2.153739e-01 2.328760e-01 3.500241e-01 3.735355e-01 3.865045e-01 3.865045e-01 3.865045e-01 3.865045e-01 6.208099e-01 6.208099e-01 6.208099e-01 6.208099e-01 6.208099e-01 6.208099e-01 6.208099e-01 6.208099e-01 6.208099e-01 6.208099e-01 6.208099e-01 6.208099e-01 6.208099e-01 6.208099e-01 6.208099e-01 8.055631e-01 8.515892e-01 8.602552e-01 8.602552e-01 8.602552e-01 8.602552e-01 9.009411e-01 9.884424e-01 9.885595e-01 #unique......... 162, #Total UniqueCount: 1443 var 1: best............ 1.000000e+00 mean............ 1.590849e+01 variance........ 5.467514e+03 var 2: best............ 1.000000e+00 mean............ 1.612822e+01 variance........ 4.952901e+03 var 3: best............ 1.000000e+00 mean............ 2.063750e+01 variance........ 8.442389e+03 var 4: best............ 1.000000e+00 mean............ 2.123801e+01 variance........ 1.088388e+04 var 5: best............ 9.986212e-01 mean............ 1.921703e+01 variance........ 9.780495e+03 var 6: best............ 8.937201e-01 mean............ 1.000746e+01 variance........ 1.825391e+03 var 7: best............ 9.737897e-01 mean............ 1.495956e+01 variance........ 6.362966e+03 var 8: best............ 1.000000e+00 mean............ 1.394586e+01 variance........ 3.497965e+03 var 9: best............ 1.000000e+00 mean............ 6.963804e+00 variance........ 1.348182e+03 var 10: best............ 2.243829e+01 mean............ 3.937542e+01 variance........ 7.572149e+03 var 11: best............ 1.000000e+00 mean............ 1.987661e+01 variance........ 7.500076e+03 var 12: best............ 1.000000e+00 mean............ 1.630192e+01 variance........ 7.755089e+03 var 13: best............ 1.000000e+00 mean............ 1.433114e+01 variance........ 5.664388e+03 var 14: best............ 1.000000e+00 mean............ 1.611253e+01 variance........ 5.478134e+03 var 15: best............ 1.000000e+00 mean............ 1.777555e+01 variance........ 9.402083e+03 var 16: best............ 1.000000e+00 mean............ 1.892018e+01 variance........ 8.478431e+03 var 17: best............ 1.000000e+00 mean............ 2.328800e+01 variance........ 1.291419e+04 var 18: best............ 1.000000e+00 mean............ 2.197745e+01 variance........ 9.885193e+03 var 19: best............ 4.899488e+02 mean............ 4.894449e+02 variance........ 7.095138e+02 var 20: best............ 7.232832e+01 mean............ 7.828040e+01 variance........ 2.252768e+03 var 21: best............ 1.000000e+00 mean............ 1.826190e+01 variance........ 8.123588e+03 var 22: best............ 9.399122e-01 mean............ 1.367356e+01 variance........ 3.891330e+03 var 23: best............ 1.000000e+00 mean............ 1.253761e+01 variance........ 4.558609e+03 var 24: best............ 1.000000e+00 mean............ 1.287703e+01 variance........ 5.908813e+03 var 25: best............ 1.000000e+00 mean............ 1.656536e+01 variance........ 4.896307e+03 var 26: best............ 1.000000e+00 mean............ 1.874299e+01 variance........ 7.845441e+03 var 27: best............ 9.803608e-01 mean............ 1.728273e+01 variance........ 6.827377e+03 GENERATION: 8 Lexical Fit..... 2.003818e-02 2.123067e-02 2.357542e-02 2.562049e-02 2.661625e-02 2.733010e-02 2.911425e-02 3.456292e-02 3.905960e-02 4.245438e-02 4.510717e-02 4.547991e-02 4.746808e-02 5.035351e-02 5.750981e-02 7.911985e-02 1.034972e-01 1.090329e-01 1.619628e-01 1.823135e-01 1.914489e-01 2.143325e-01 2.153739e-01 2.328760e-01 3.500241e-01 3.735355e-01 3.865045e-01 3.865045e-01 3.865045e-01 3.865045e-01 6.208099e-01 6.208099e-01 6.208099e-01 6.208099e-01 6.208099e-01 6.208099e-01 6.208099e-01 6.208099e-01 6.208099e-01 6.208099e-01 6.208099e-01 6.208099e-01 6.208099e-01 6.208099e-01 6.208099e-01 8.055631e-01 8.515892e-01 8.602552e-01 8.602552e-01 8.602552e-01 8.602552e-01 9.009411e-01 9.884424e-01 9.885595e-01 #unique......... 166, #Total UniqueCount: 1609 var 1: best............ 1.000000e+00 mean............ 1.353826e+01 variance........ 7.698319e+03 var 2: best............ 1.000000e+00 mean............ 1.525746e+01 variance........ 8.116109e+03 var 3: best............ 1.000000e+00 mean............ 7.992904e+00 variance........ 2.146745e+03 var 4: best............ 1.000000e+00 mean............ 2.006688e+01 variance........ 1.016566e+04 var 5: best............ 9.986212e-01 mean............ 7.764147e+00 variance........ 1.243374e+03 var 6: best............ 8.937201e-01 mean............ 1.464067e+01 variance........ 5.320795e+03 var 7: best............ 9.737897e-01 mean............ 1.077865e+01 variance........ 4.891151e+03 var 8: best............ 1.000000e+00 mean............ 2.370451e+01 variance........ 1.343637e+04 var 9: best............ 1.000000e+00 mean............ 1.602633e+01 variance........ 7.591509e+03 var 10: best............ 2.243829e+01 mean............ 2.974522e+01 variance........ 3.196797e+03 var 11: best............ 1.000000e+00 mean............ 5.350363e+00 variance........ 7.309578e+02 var 12: best............ 1.000000e+00 mean............ 1.339350e+01 variance........ 4.740179e+03 var 13: best............ 1.000000e+00 mean............ 9.223551e+00 variance........ 2.961381e+03 var 14: best............ 1.000000e+00 mean............ 9.208338e+00 variance........ 2.197690e+03 var 15: best............ 1.000000e+00 mean............ 1.534437e+01 variance........ 6.192465e+03 var 16: best............ 1.000000e+00 mean............ 1.374644e+01 variance........ 7.229323e+03 var 17: best............ 1.000000e+00 mean............ 1.639323e+01 variance........ 8.871585e+03 var 18: best............ 1.000000e+00 mean............ 1.235255e+01 variance........ 3.672622e+03 var 19: best............ 4.899488e+02 mean............ 4.905417e+02 variance........ 1.147132e+03 var 20: best............ 7.232832e+01 mean............ 8.278786e+01 variance........ 5.189811e+03 var 21: best............ 1.000000e+00 mean............ 8.351908e+00 variance........ 2.976818e+03 var 22: best............ 9.399122e-01 mean............ 1.380197e+01 variance........ 4.914413e+03 var 23: best............ 1.000000e+00 mean............ 1.208917e+01 variance........ 4.583575e+03 var 24: best............ 1.000000e+00 mean............ 1.288787e+01 variance........ 6.303824e+03 var 25: best............ 1.000000e+00 mean............ 1.299886e+01 variance........ 5.955187e+03 var 26: best............ 1.000000e+00 mean............ 1.087286e+01 variance........ 3.180955e+03 var 27: best............ 9.803608e-01 mean............ 9.604645e+00 variance........ 2.655825e+03 GENERATION: 9 Lexical Fit..... 2.003818e-02 2.123067e-02 2.357542e-02 2.562049e-02 2.661625e-02 2.733010e-02 2.911425e-02 3.456292e-02 3.905960e-02 4.245438e-02 4.510717e-02 4.547991e-02 4.746808e-02 5.035351e-02 5.750981e-02 7.911985e-02 1.034972e-01 1.090329e-01 1.619628e-01 1.823135e-01 1.914489e-01 2.143325e-01 2.153739e-01 2.328760e-01 3.500241e-01 3.735355e-01 3.865045e-01 3.865045e-01 3.865045e-01 3.865045e-01 6.208099e-01 6.208099e-01 6.208099e-01 6.208099e-01 6.208099e-01 6.208099e-01 6.208099e-01 6.208099e-01 6.208099e-01 6.208099e-01 6.208099e-01 6.208099e-01 6.208099e-01 6.208099e-01 6.208099e-01 8.055631e-01 8.515892e-01 8.602552e-01 8.602552e-01 8.602552e-01 8.602552e-01 9.009411e-01 9.884424e-01 9.885595e-01 #unique......... 163, #Total UniqueCount: 1772 var 1: best............ 1.000000e+00 mean............ 1.410501e+01 variance........ 7.550941e+03 var 2: best............ 1.000000e+00 mean............ 1.596759e+01 variance........ 8.663768e+03 var 3: best............ 1.000000e+00 mean............ 1.479078e+01 variance........ 4.990067e+03 var 4: best............ 1.000000e+00 mean............ 1.696292e+01 variance........ 7.923154e+03 var 5: best............ 9.986212e-01 mean............ 1.545414e+01 variance........ 6.488662e+03 var 6: best............ 8.937201e-01 mean............ 1.628439e+01 variance........ 6.936912e+03 var 7: best............ 9.737897e-01 mean............ 1.700659e+01 variance........ 8.398912e+03 var 8: best............ 1.000000e+00 mean............ 1.063529e+01 variance........ 4.535961e+03 var 9: best............ 1.000000e+00 mean............ 1.319701e+01 variance........ 5.788438e+03 var 10: best............ 2.243829e+01 mean............ 3.771095e+01 variance........ 5.947144e+03 var 11: best............ 1.000000e+00 mean............ 1.613829e+01 variance........ 7.961168e+03 var 12: best............ 1.000000e+00 mean............ 1.770710e+01 variance........ 1.051210e+04 var 13: best............ 1.000000e+00 mean............ 7.852238e+00 variance........ 2.242535e+03 var 14: best............ 1.000000e+00 mean............ 1.140153e+01 variance........ 3.251597e+03 var 15: best............ 1.000000e+00 mean............ 1.214622e+01 variance........ 4.681591e+03 var 16: best............ 1.000000e+00 mean............ 1.295292e+01 variance........ 3.802814e+03 var 17: best............ 1.000000e+00 mean............ 9.919089e+00 variance........ 3.387487e+03 var 18: best............ 1.000000e+00 mean............ 1.416609e+01 variance........ 6.864892e+03 var 19: best............ 4.899488e+02 mean............ 4.917017e+02 variance........ 1.888956e+03 var 20: best............ 7.232832e+01 mean............ 7.780401e+01 variance........ 3.183918e+03 var 21: best............ 1.000000e+00 mean............ 1.782169e+01 variance........ 8.410149e+03 var 22: best............ 9.399122e-01 mean............ 9.297297e+00 variance........ 2.572374e+03 var 23: best............ 1.000000e+00 mean............ 1.043403e+01 variance........ 3.671546e+03 var 24: best............ 1.000000e+00 mean............ 1.732153e+01 variance........ 8.731219e+03 var 25: best............ 1.000000e+00 mean............ 1.540139e+01 variance........ 5.855225e+03 var 26: best............ 1.000000e+00 mean............ 1.303291e+01 variance........ 5.064990e+03 var 27: best............ 9.803608e-01 mean............ 1.328015e+01 variance........ 5.081196e+03 GENERATION: 10 Lexical Fit..... 2.003818e-02 2.123067e-02 2.357542e-02 2.562049e-02 2.661625e-02 2.733010e-02 2.911425e-02 3.456292e-02 3.905960e-02 4.245438e-02 4.510717e-02 4.547991e-02 4.746808e-02 5.035351e-02 5.750981e-02 7.911985e-02 1.034972e-01 1.090329e-01 1.619628e-01 1.823135e-01 1.914489e-01 2.143325e-01 2.153739e-01 2.328760e-01 3.500241e-01 3.735355e-01 3.865045e-01 3.865045e-01 3.865045e-01 3.865045e-01 6.208099e-01 6.208099e-01 6.208099e-01 6.208099e-01 6.208099e-01 6.208099e-01 6.208099e-01 6.208099e-01 6.208099e-01 6.208099e-01 6.208099e-01 6.208099e-01 6.208099e-01 6.208099e-01 6.208099e-01 8.055631e-01 8.515892e-01 8.602552e-01 8.602552e-01 8.602552e-01 8.602552e-01 9.009411e-01 9.884424e-01 9.885595e-01 #unique......... 162, #Total UniqueCount: 1934 var 1: best............ 1.000000e+00 mean............ 2.195771e+01 variance........ 1.333724e+04 var 2: best............ 1.000000e+00 mean............ 2.255840e+01 variance........ 1.060932e+04 var 3: best............ 1.000000e+00 mean............ 2.064085e+01 variance........ 1.203229e+04 var 4: best............ 1.000000e+00 mean............ 7.510604e+00 variance........ 1.814263e+03 var 5: best............ 9.986212e-01 mean............ 1.816021e+01 variance........ 7.039791e+03 var 6: best............ 8.937201e-01 mean............ 2.000810e+01 variance........ 1.026172e+04 var 7: best............ 9.737897e-01 mean............ 1.386244e+01 variance........ 5.174465e+03 var 8: best............ 1.000000e+00 mean............ 1.772005e+01 variance........ 6.335807e+03 var 9: best............ 1.000000e+00 mean............ 1.317302e+01 variance........ 4.195874e+03 var 10: best............ 2.243829e+01 mean............ 3.531536e+01 variance........ 4.891673e+03 var 11: best............ 1.000000e+00 mean............ 2.056330e+01 variance........ 1.126998e+04 var 12: best............ 1.000000e+00 mean............ 1.177949e+01 variance........ 4.749086e+03 var 13: best............ 1.000000e+00 mean............ 1.418776e+01 variance........ 5.986725e+03 var 14: best............ 1.000000e+00 mean............ 1.597779e+01 variance........ 6.351185e+03 var 15: best............ 1.000000e+00 mean............ 1.841193e+01 variance........ 8.231557e+03 var 16: best............ 1.000000e+00 mean............ 8.411421e+00 variance........ 4.530321e+03 var 17: best............ 1.000000e+00 mean............ 1.906803e+01 variance........ 7.125474e+03 var 18: best............ 1.000000e+00 mean............ 1.019736e+01 variance........ 3.271604e+03 var 19: best............ 4.899488e+02 mean............ 4.916394e+02 variance........ 3.150878e+03 var 20: best............ 7.232832e+01 mean............ 8.493729e+01 variance........ 6.774063e+03 var 21: best............ 1.000000e+00 mean............ 1.740656e+01 variance........ 6.818852e+03 var 22: best............ 9.399122e-01 mean............ 1.810363e+01 variance........ 8.544642e+03 var 23: best............ 1.000000e+00 mean............ 1.703494e+01 variance........ 7.264116e+03 var 24: best............ 1.000000e+00 mean............ 1.097299e+01 variance........ 4.152136e+03 var 25: best............ 1.000000e+00 mean............ 1.277396e+01 variance........ 4.855546e+03 var 26: best............ 1.000000e+00 mean............ 1.215235e+01 variance........ 5.875957e+03 var 27: best............ 9.803608e-01 mean............ 1.739714e+01 variance........ 7.697058e+03 GENERATION: 11 Lexical Fit..... 2.003818e-02 2.123067e-02 2.357542e-02 2.562049e-02 2.661625e-02 2.733010e-02 2.911425e-02 3.456292e-02 3.905960e-02 4.245438e-02 4.510717e-02 4.547991e-02 4.746808e-02 5.035351e-02 5.750981e-02 7.911985e-02 1.034972e-01 1.090329e-01 1.619628e-01 1.823135e-01 1.914489e-01 2.143325e-01 2.153739e-01 2.328760e-01 3.500241e-01 3.735355e-01 3.865045e-01 3.865045e-01 3.865045e-01 3.865045e-01 6.208099e-01 6.208099e-01 6.208099e-01 6.208099e-01 6.208099e-01 6.208099e-01 6.208099e-01 6.208099e-01 6.208099e-01 6.208099e-01 6.208099e-01 6.208099e-01 6.208099e-01 6.208099e-01 6.208099e-01 8.055631e-01 8.515892e-01 8.602552e-01 8.602552e-01 8.602552e-01 8.602552e-01 9.009411e-01 9.884424e-01 9.885595e-01 #unique......... 163, #Total UniqueCount: 2097 var 1: best............ 1.000000e+00 mean............ 4.238786e+00 variance........ 1.245825e+03 var 2: best............ 1.000000e+00 mean............ 1.304723e+01 variance........ 5.724623e+03 var 3: best............ 1.000000e+00 mean............ 1.365466e+01 variance........ 7.356794e+03 var 4: best............ 1.000000e+00 mean............ 6.623917e+00 variance........ 1.854220e+03 var 5: best............ 9.986212e-01 mean............ 2.254615e+00 variance........ 1.001739e+02 var 6: best............ 8.937201e-01 mean............ 9.972419e+00 variance........ 3.152464e+03 var 7: best............ 9.737897e-01 mean............ 5.827175e+00 variance........ 1.658251e+03 var 8: best............ 1.000000e+00 mean............ 1.675072e+01 variance........ 8.816325e+03 var 9: best............ 1.000000e+00 mean............ 1.396297e+01 variance........ 7.319307e+03 var 10: best............ 2.243829e+01 mean............ 2.702626e+01 variance........ 1.225924e+03 var 11: best............ 1.000000e+00 mean............ 1.153050e+01 variance........ 5.734661e+03 var 12: best............ 1.000000e+00 mean............ 9.949207e+00 variance........ 4.283337e+03 var 13: best............ 1.000000e+00 mean............ 6.137658e+00 variance........ 1.738681e+03 var 14: best............ 1.000000e+00 mean............ 5.319002e+00 variance........ 1.396967e+03 var 15: best............ 1.000000e+00 mean............ 1.234442e+01 variance........ 3.951885e+03 var 16: best............ 1.000000e+00 mean............ 9.410904e+00 variance........ 4.913823e+03 var 17: best............ 1.000000e+00 mean............ 1.040646e+01 variance........ 3.419126e+03 var 18: best............ 1.000000e+00 mean............ 5.389733e+00 variance........ 1.074477e+03 var 19: best............ 4.899488e+02 mean............ 4.906411e+02 variance........ 6.039610e+02 var 20: best............ 7.232832e+01 mean............ 7.526208e+01 variance........ 2.557197e+03 var 21: best............ 1.000000e+00 mean............ 1.016058e+01 variance........ 5.123983e+03 var 22: best............ 9.399122e-01 mean............ 6.006117e+00 variance........ 2.329295e+03 var 23: best............ 1.000000e+00 mean............ 1.996366e+01 variance........ 1.153507e+04 var 24: best............ 1.000000e+00 mean............ 7.120488e+00 variance........ 2.198736e+03 var 25: best............ 1.000000e+00 mean............ 6.884488e+00 variance........ 1.834629e+03 var 26: best............ 1.000000e+00 mean............ 5.823353e+00 variance........ 1.259657e+03 var 27: best............ 9.803608e-01 mean............ 1.112695e+01 variance........ 4.814158e+03 GENERATION: 12 Lexical Fit..... 2.003818e-02 2.123067e-02 2.357542e-02 2.562049e-02 2.661625e-02 2.733010e-02 2.911425e-02 3.456292e-02 3.905960e-02 4.245438e-02 4.510717e-02 4.547991e-02 4.746808e-02 5.035351e-02 5.750981e-02 7.911985e-02 1.034972e-01 1.090329e-01 1.619628e-01 1.823135e-01 1.914489e-01 2.143325e-01 2.153739e-01 2.328760e-01 3.500241e-01 3.735355e-01 3.865045e-01 3.865045e-01 3.865045e-01 3.865045e-01 6.208099e-01 6.208099e-01 6.208099e-01 6.208099e-01 6.208099e-01 6.208099e-01 6.208099e-01 6.208099e-01 6.208099e-01 6.208099e-01 6.208099e-01 6.208099e-01 6.208099e-01 6.208099e-01 6.208099e-01 8.055631e-01 8.515892e-01 8.602552e-01 8.602552e-01 8.602552e-01 8.602552e-01 9.009411e-01 9.884424e-01 9.885595e-01 #unique......... 164, #Total UniqueCount: 2261 var 1: best............ 1.000000e+00 mean............ 1.562562e+01 variance........ 5.732263e+03 var 2: best............ 1.000000e+00 mean............ 2.243742e+01 variance........ 1.054351e+04 var 3: best............ 1.000000e+00 mean............ 1.591432e+01 variance........ 8.341035e+03 var 4: best............ 1.000000e+00 mean............ 1.064593e+01 variance........ 3.613927e+03 var 5: best............ 9.986212e-01 mean............ 1.449800e+01 variance........ 4.856020e+03 var 6: best............ 8.937201e-01 mean............ 2.036130e+01 variance........ 9.669926e+03 var 7: best............ 9.737897e-01 mean............ 1.400656e+01 variance........ 5.895115e+03 var 8: best............ 1.000000e+00 mean............ 1.764940e+01 variance........ 5.857161e+03 var 9: best............ 1.000000e+00 mean............ 2.038602e+01 variance........ 9.775345e+03 var 10: best............ 2.243829e+01 mean............ 3.785650e+01 variance........ 8.111929e+03 var 11: best............ 1.000000e+00 mean............ 1.516779e+01 variance........ 9.413366e+03 var 12: best............ 1.000000e+00 mean............ 2.123973e+01 variance........ 9.859504e+03 var 13: best............ 1.000000e+00 mean............ 2.058406e+01 variance........ 1.215159e+04 var 14: best............ 1.000000e+00 mean............ 1.651998e+01 variance........ 5.506635e+03 var 15: best............ 1.000000e+00 mean............ 1.093866e+01 variance........ 3.708619e+03 var 16: best............ 1.000000e+00 mean............ 2.581409e+01 variance........ 1.319384e+04 var 17: best............ 1.000000e+00 mean............ 1.725676e+01 variance........ 7.316371e+03 var 18: best............ 1.000000e+00 mean............ 1.194021e+01 variance........ 4.922405e+03 var 19: best............ 4.899488e+02 mean............ 4.866828e+02 variance........ 1.255769e+03 var 20: best............ 7.232832e+01 mean............ 7.774023e+01 variance........ 2.930012e+03 var 21: best............ 1.000000e+00 mean............ 1.790336e+01 variance........ 6.434593e+03 var 22: best............ 9.399122e-01 mean............ 1.981166e+01 variance........ 9.234723e+03 var 23: best............ 1.000000e+00 mean............ 1.814671e+01 variance........ 7.388410e+03 var 24: best............ 1.000000e+00 mean............ 1.498514e+01 variance........ 7.474702e+03 var 25: best............ 1.000000e+00 mean............ 1.185836e+01 variance........ 6.136833e+03 var 26: best............ 1.000000e+00 mean............ 1.499911e+01 variance........ 5.243287e+03 var 27: best............ 9.803608e-01 mean............ 1.686740e+01 variance........ 7.355766e+03 GENERATION: 13 Lexical Fit..... 2.003818e-02 2.123067e-02 2.357542e-02 2.562049e-02 2.661625e-02 2.733010e-02 2.911425e-02 3.456292e-02 3.905960e-02 4.245438e-02 4.510717e-02 4.547991e-02 4.746808e-02 5.035351e-02 5.750981e-02 7.911985e-02 1.034972e-01 1.090329e-01 1.619628e-01 1.823135e-01 1.914489e-01 2.143325e-01 2.153739e-01 2.328760e-01 3.500241e-01 3.735355e-01 3.865045e-01 3.865045e-01 3.865045e-01 3.865045e-01 6.208099e-01 6.208099e-01 6.208099e-01 6.208099e-01 6.208099e-01 6.208099e-01 6.208099e-01 6.208099e-01 6.208099e-01 6.208099e-01 6.208099e-01 6.208099e-01 6.208099e-01 6.208099e-01 6.208099e-01 8.055631e-01 8.515892e-01 8.602552e-01 8.602552e-01 8.602552e-01 8.602552e-01 9.009411e-01 9.884424e-01 9.885595e-01 #unique......... 170, #Total UniqueCount: 2431 var 1: best............ 1.000000e+00 mean............ 8.159584e+00 variance........ 3.991784e+03 var 2: best............ 1.000000e+00 mean............ 6.902835e+00 variance........ 1.365939e+03 var 3: best............ 1.000000e+00 mean............ 9.046817e+00 variance........ 3.699818e+03 var 4: best............ 1.000000e+00 mean............ 1.812752e+01 variance........ 8.416711e+03 var 5: best............ 9.986212e-01 mean............ 8.744367e+00 variance........ 3.122565e+03 var 6: best............ 8.937201e-01 mean............ 1.898791e+01 variance........ 7.204267e+03 var 7: best............ 9.737897e-01 mean............ 1.312088e+01 variance........ 5.484867e+03 var 8: best............ 1.000000e+00 mean............ 1.967065e+01 variance........ 9.130628e+03 var 9: best............ 1.000000e+00 mean............ 1.648691e+01 variance........ 7.209483e+03 var 10: best............ 2.243829e+01 mean............ 4.430546e+01 variance........ 1.305248e+04 var 11: best............ 1.000000e+00 mean............ 1.762738e+01 variance........ 7.953263e+03 var 12: best............ 1.000000e+00 mean............ 1.173097e+01 variance........ 3.610913e+03 var 13: best............ 1.000000e+00 mean............ 1.536141e+01 variance........ 7.147011e+03 var 14: best............ 1.000000e+00 mean............ 1.483365e+01 variance........ 5.206720e+03 var 15: best............ 1.000000e+00 mean............ 1.063696e+01 variance........ 5.112825e+03 var 16: best............ 1.000000e+00 mean............ 1.000096e+01 variance........ 3.417978e+03 var 17: best............ 1.000000e+00 mean............ 2.340882e+01 variance........ 1.049763e+04 var 18: best............ 1.000000e+00 mean............ 1.703635e+01 variance........ 8.633368e+03 var 19: best............ 4.899488e+02 mean............ 4.902962e+02 variance........ 1.408747e+03 var 20: best............ 7.232832e+01 mean............ 7.586916e+01 variance........ 1.878008e+03 var 21: best............ 1.000000e+00 mean............ 2.244276e+01 variance........ 1.044341e+04 var 22: best............ 9.399122e-01 mean............ 1.467236e+01 variance........ 6.127181e+03 var 23: best............ 1.000000e+00 mean............ 1.685150e+01 variance........ 8.020218e+03 var 24: best............ 1.000000e+00 mean............ 1.324196e+01 variance........ 4.827800e+03 var 25: best............ 1.000000e+00 mean............ 9.340704e+00 variance........ 2.816693e+03 var 26: best............ 1.000000e+00 mean............ 9.895241e+00 variance........ 3.107048e+03 var 27: best............ 9.803608e-01 mean............ 1.420061e+01 variance........ 6.868389e+03 GENERATION: 14 Lexical Fit..... 2.003818e-02 2.123067e-02 2.357542e-02 2.562049e-02 2.661625e-02 2.733010e-02 2.911425e-02 3.456292e-02 3.905960e-02 4.245438e-02 4.510717e-02 4.547991e-02 4.746808e-02 5.035351e-02 5.750981e-02 7.911985e-02 1.034972e-01 1.090329e-01 1.619628e-01 1.823135e-01 1.914489e-01 2.143325e-01 2.153739e-01 2.328760e-01 3.500241e-01 3.735355e-01 3.865045e-01 3.865045e-01 3.865045e-01 3.865045e-01 6.208099e-01 6.208099e-01 6.208099e-01 6.208099e-01 6.208099e-01 6.208099e-01 6.208099e-01 6.208099e-01 6.208099e-01 6.208099e-01 6.208099e-01 6.208099e-01 6.208099e-01 6.208099e-01 6.208099e-01 8.055631e-01 8.515892e-01 8.602552e-01 8.602552e-01 8.602552e-01 8.602552e-01 9.009411e-01 9.884424e-01 9.885595e-01 #unique......... 164, #Total UniqueCount: 2595 var 1: best............ 1.000000e+00 mean............ 9.213213e+00 variance........ 2.893336e+03 var 2: best............ 1.000000e+00 mean............ 9.171927e+00 variance........ 2.451701e+03 var 3: best............ 1.000000e+00 mean............ 1.722803e+01 variance........ 9.762928e+03 var 4: best............ 1.000000e+00 mean............ 1.751847e+01 variance........ 9.406749e+03 var 5: best............ 9.986212e-01 mean............ 1.362170e+01 variance........ 4.857756e+03 var 6: best............ 8.937201e-01 mean............ 8.911447e+00 variance........ 2.313417e+03 var 7: best............ 9.737897e-01 mean............ 1.716596e+01 variance........ 8.350127e+03 var 8: best............ 1.000000e+00 mean............ 1.177834e+01 variance........ 4.389489e+03 var 9: best............ 1.000000e+00 mean............ 4.725806e+00 variance........ 1.125273e+03 var 10: best............ 2.243829e+01 mean............ 3.517119e+01 variance........ 5.551869e+03 var 11: best............ 1.000000e+00 mean............ 1.509502e+01 variance........ 7.563749e+03 var 12: best............ 1.000000e+00 mean............ 2.549336e+01 variance........ 1.193132e+04 var 13: best............ 1.000000e+00 mean............ 1.085151e+01 variance........ 4.903668e+03 var 14: best............ 1.000000e+00 mean............ 1.290378e+01 variance........ 6.419709e+03 var 15: best............ 1.000000e+00 mean............ 8.515032e+00 variance........ 2.175780e+03 var 16: best............ 1.000000e+00 mean............ 1.417644e+01 variance........ 7.184509e+03 var 17: best............ 1.000000e+00 mean............ 1.557258e+01 variance........ 5.423928e+03 var 18: best............ 1.000000e+00 mean............ 1.007277e+01 variance........ 2.620736e+03 var 19: best............ 4.899488e+02 mean............ 4.844726e+02 variance........ 2.084373e+03 var 20: best............ 7.232832e+01 mean............ 8.259653e+01 variance........ 5.957796e+03 var 21: best............ 1.000000e+00 mean............ 1.364138e+01 variance........ 6.436982e+03 var 22: best............ 9.399122e-01 mean............ 2.109843e+01 variance........ 9.776311e+03 var 23: best............ 1.000000e+00 mean............ 8.898040e+00 variance........ 2.959764e+03 var 24: best............ 1.000000e+00 mean............ 1.961391e+01 variance........ 1.053507e+04 var 25: best............ 1.000000e+00 mean............ 1.854920e+01 variance........ 9.142989e+03 var 26: best............ 1.000000e+00 mean............ 2.133416e+01 variance........ 1.151074e+04 var 27: best............ 9.803608e-01 mean............ 1.852468e+01 variance........ 8.573673e+03 GENERATION: 15 Lexical Fit..... 2.003818e-02 2.123067e-02 2.357542e-02 2.562049e-02 2.661625e-02 2.733010e-02 2.911425e-02 3.456292e-02 3.905960e-02 4.245438e-02 4.510717e-02 4.547991e-02 4.746808e-02 5.035351e-02 5.750981e-02 7.911985e-02 1.034972e-01 1.090329e-01 1.619628e-01 1.823135e-01 1.914489e-01 2.143325e-01 2.153739e-01 2.328760e-01 3.500241e-01 3.735355e-01 3.865045e-01 3.865045e-01 3.865045e-01 3.865045e-01 6.208099e-01 6.208099e-01 6.208099e-01 6.208099e-01 6.208099e-01 6.208099e-01 6.208099e-01 6.208099e-01 6.208099e-01 6.208099e-01 6.208099e-01 6.208099e-01 6.208099e-01 6.208099e-01 6.208099e-01 8.055631e-01 8.515892e-01 8.602552e-01 8.602552e-01 8.602552e-01 8.602552e-01 9.009411e-01 9.884424e-01 9.885595e-01 #unique......... 165, #Total UniqueCount: 2760 var 1: best............ 1.000000e+00 mean............ 1.887694e+01 variance........ 7.665074e+03 var 2: best............ 1.000000e+00 mean............ 1.874871e+01 variance........ 9.676712e+03 var 3: best............ 1.000000e+00 mean............ 1.255584e+01 variance........ 3.902398e+03 var 4: best............ 1.000000e+00 mean............ 9.792172e+00 variance........ 5.128807e+03 var 5: best............ 9.986212e-01 mean............ 1.461987e+01 variance........ 6.466876e+03 var 6: best............ 8.937201e-01 mean............ 9.483768e+00 variance........ 2.937585e+03 var 7: best............ 9.737897e-01 mean............ 1.826210e+01 variance........ 8.642219e+03 var 8: best............ 1.000000e+00 mean............ 1.997889e+01 variance........ 1.265326e+04 var 9: best............ 1.000000e+00 mean............ 1.468926e+01 variance........ 7.190779e+03 var 10: best............ 2.243829e+01 mean............ 3.113637e+01 variance........ 4.986947e+03 var 11: best............ 1.000000e+00 mean............ 1.212649e+01 variance........ 5.543317e+03 var 12: best............ 1.000000e+00 mean............ 1.262709e+01 variance........ 6.606104e+03 var 13: best............ 1.000000e+00 mean............ 1.217536e+01 variance........ 4.759846e+03 var 14: best............ 1.000000e+00 mean............ 1.958758e+01 variance........ 1.045071e+04 var 15: best............ 1.000000e+00 mean............ 8.244625e+00 variance........ 2.131369e+03 var 16: best............ 1.000000e+00 mean............ 1.528346e+01 variance........ 9.330381e+03 var 17: best............ 1.000000e+00 mean............ 3.144443e+00 variance........ 3.474649e+02 var 18: best............ 1.000000e+00 mean............ 1.034340e+01 variance........ 3.989771e+03 var 19: best............ 4.899488e+02 mean............ 4.951451e+02 variance........ 2.391551e+03 var 20: best............ 7.232832e+01 mean............ 8.416287e+01 variance........ 6.475238e+03 var 21: best............ 1.000000e+00 mean............ 1.252123e+01 variance........ 5.798711e+03 var 22: best............ 9.399122e-01 mean............ 1.279579e+01 variance........ 5.724820e+03 var 23: best............ 1.000000e+00 mean............ 1.233196e+01 variance........ 4.155730e+03 var 24: best............ 1.000000e+00 mean............ 1.876305e+01 variance........ 1.105052e+04 var 25: best............ 1.000000e+00 mean............ 1.039981e+01 variance........ 5.798012e+03 var 26: best............ 1.000000e+00 mean............ 1.313866e+01 variance........ 4.629013e+03 var 27: best............ 9.803608e-01 mean............ 1.771202e+01 variance........ 9.536305e+03 GENERATION: 16 Lexical Fit..... 2.003818e-02 2.123067e-02 2.357542e-02 2.562049e-02 2.661625e-02 2.733010e-02 2.911425e-02 3.456292e-02 3.905960e-02 4.245438e-02 4.510717e-02 4.547991e-02 4.746808e-02 5.035351e-02 5.750981e-02 7.911985e-02 1.034972e-01 1.090329e-01 1.619628e-01 1.823135e-01 1.914489e-01 2.143325e-01 2.153739e-01 2.328760e-01 3.500241e-01 3.735355e-01 3.865045e-01 3.865045e-01 3.865045e-01 3.865045e-01 6.208099e-01 6.208099e-01 6.208099e-01 6.208099e-01 6.208099e-01 6.208099e-01 6.208099e-01 6.208099e-01 6.208099e-01 6.208099e-01 6.208099e-01 6.208099e-01 6.208099e-01 6.208099e-01 6.208099e-01 8.055631e-01 8.515892e-01 8.602552e-01 8.602552e-01 8.602552e-01 8.602552e-01 9.009411e-01 9.884424e-01 9.885595e-01 #unique......... 166, #Total UniqueCount: 2926 var 1: best............ 1.000000e+00 mean............ 7.735768e+00 variance........ 2.569857e+03 var 2: best............ 1.000000e+00 mean............ 1.309643e+01 variance........ 5.447330e+03 var 3: best............ 1.000000e+00 mean............ 1.182535e+01 variance........ 8.811251e+03 var 4: best............ 1.000000e+00 mean............ 1.225946e+01 variance........ 6.264925e+03 var 5: best............ 9.986212e-01 mean............ 1.400093e+01 variance........ 7.369879e+03 var 6: best............ 8.937201e-01 mean............ 1.785558e+01 variance........ 9.995503e+03 var 7: best............ 9.737897e-01 mean............ 7.719096e+00 variance........ 2.245070e+03 var 8: best............ 1.000000e+00 mean............ 1.993236e+01 variance........ 1.082928e+04 var 9: best............ 1.000000e+00 mean............ 8.618423e+00 variance........ 2.119363e+03 var 10: best............ 2.243829e+01 mean............ 3.232233e+01 variance........ 4.437898e+03 var 11: best............ 1.000000e+00 mean............ 1.507799e+01 variance........ 7.281169e+03 var 12: best............ 1.000000e+00 mean............ 1.533830e+01 variance........ 9.014081e+03 var 13: best............ 1.000000e+00 mean............ 6.624403e+00 variance........ 2.231747e+03 var 14: best............ 1.000000e+00 mean............ 1.588610e+01 variance........ 7.688552e+03 var 15: best............ 1.000000e+00 mean............ 1.014987e+01 variance........ 2.835819e+03 var 16: best............ 1.000000e+00 mean............ 1.225155e+01 variance........ 6.576285e+03 var 17: best............ 1.000000e+00 mean............ 6.192512e+00 variance........ 1.714096e+03 var 18: best............ 1.000000e+00 mean............ 4.991919e+00 variance........ 1.392423e+03 var 19: best............ 4.899488e+02 mean............ 4.904742e+02 variance........ 1.400013e+03 var 20: best............ 7.232832e+01 mean............ 8.093304e+01 variance........ 5.447310e+03 var 21: best............ 1.000000e+00 mean............ 1.548177e+01 variance........ 8.948904e+03 var 22: best............ 9.399122e-01 mean............ 1.876860e+01 variance........ 1.002197e+04 var 23: best............ 1.000000e+00 mean............ 7.874132e+00 variance........ 3.636169e+03 var 24: best............ 1.000000e+00 mean............ 1.057350e+01 variance........ 3.214721e+03 var 25: best............ 1.000000e+00 mean............ 1.161928e+01 variance........ 3.974845e+03 var 26: best............ 1.000000e+00 mean............ 8.602155e+00 variance........ 3.164751e+03 var 27: best............ 9.803608e-01 mean............ 1.448701e+01 variance........ 7.267616e+03 GENERATION: 17 Lexical Fit..... 2.003818e-02 2.123067e-02 2.357542e-02 2.562049e-02 2.661625e-02 2.733010e-02 2.911425e-02 3.456292e-02 3.905960e-02 4.245438e-02 4.510717e-02 4.547991e-02 4.746808e-02 5.035351e-02 5.750981e-02 7.911985e-02 1.034972e-01 1.090329e-01 1.619628e-01 1.823135e-01 1.914489e-01 2.143325e-01 2.153739e-01 2.328760e-01 3.500241e-01 3.735355e-01 3.865045e-01 3.865045e-01 3.865045e-01 3.865045e-01 6.208099e-01 6.208099e-01 6.208099e-01 6.208099e-01 6.208099e-01 6.208099e-01 6.208099e-01 6.208099e-01 6.208099e-01 6.208099e-01 6.208099e-01 6.208099e-01 6.208099e-01 6.208099e-01 6.208099e-01 8.055631e-01 8.515892e-01 8.602552e-01 8.602552e-01 8.602552e-01 8.602552e-01 9.009411e-01 9.884424e-01 9.885595e-01 #unique......... 155, #Total UniqueCount: 3081 var 1: best............ 1.000000e+00 mean............ 5.940797e+00 variance........ 1.714547e+03 var 2: best............ 1.000000e+00 mean............ 1.197966e+01 variance........ 7.089287e+03 var 3: best............ 1.000000e+00 mean............ 1.031244e+01 variance........ 3.873351e+03 var 4: best............ 1.000000e+00 mean............ 1.903716e+01 variance........ 1.071465e+04 var 5: best............ 9.986212e-01 mean............ 1.039365e+01 variance........ 4.052599e+03 var 6: best............ 8.937201e-01 mean............ 1.039217e+01 variance........ 4.070688e+03 var 7: best............ 9.737897e-01 mean............ 2.037310e+01 variance........ 1.014999e+04 var 8: best............ 1.000000e+00 mean............ 7.963527e+00 variance........ 2.649772e+03 var 9: best............ 1.000000e+00 mean............ 1.310192e+01 variance........ 5.287140e+03 var 10: best............ 2.243829e+01 mean............ 3.919225e+01 variance........ 8.235870e+03 var 11: best............ 1.000000e+00 mean............ 1.062575e+01 variance........ 4.606567e+03 var 12: best............ 1.000000e+00 mean............ 1.151594e+01 variance........ 5.085182e+03 var 13: best............ 1.000000e+00 mean............ 1.278191e+01 variance........ 8.482753e+03 var 14: best............ 1.000000e+00 mean............ 1.334281e+01 variance........ 5.455169e+03 var 15: best............ 1.000000e+00 mean............ 9.082102e+00 variance........ 2.802451e+03 var 16: best............ 1.000000e+00 mean............ 8.996413e+00 variance........ 4.491965e+03 var 17: best............ 1.000000e+00 mean............ 1.365728e+01 variance........ 7.220498e+03 var 18: best............ 1.000000e+00 mean............ 1.940784e+01 variance........ 8.579792e+03 var 19: best............ 4.899488e+02 mean............ 4.899920e+02 variance........ 1.620692e+03 var 20: best............ 7.232832e+01 mean............ 7.297997e+01 variance........ 7.742766e+02 var 21: best............ 1.000000e+00 mean............ 1.872858e+01 variance........ 9.377900e+03 var 22: best............ 9.399122e-01 mean............ 8.653597e+00 variance........ 2.846256e+03 var 23: best............ 1.000000e+00 mean............ 1.896974e+01 variance........ 9.352453e+03 var 24: best............ 1.000000e+00 mean............ 7.401524e+00 variance........ 1.698374e+03 var 25: best............ 1.000000e+00 mean............ 1.088801e+01 variance........ 5.007035e+03 var 26: best............ 1.000000e+00 mean............ 6.525067e+00 variance........ 1.681422e+03 var 27: best............ 9.803608e-01 mean............ 1.305340e+01 variance........ 5.712143e+03 GENERATION: 18 Lexical Fit..... 2.003818e-02 2.123067e-02 2.357542e-02 2.562049e-02 2.661625e-02 2.733010e-02 2.911425e-02 3.456292e-02 3.905960e-02 4.245438e-02 4.510717e-02 4.547991e-02 4.746808e-02 5.035351e-02 5.750981e-02 7.911985e-02 1.034972e-01 1.090329e-01 1.619628e-01 1.823135e-01 1.914489e-01 2.143325e-01 2.153739e-01 2.328760e-01 3.500241e-01 3.735355e-01 3.865045e-01 3.865045e-01 3.865045e-01 3.865045e-01 6.208099e-01 6.208099e-01 6.208099e-01 6.208099e-01 6.208099e-01 6.208099e-01 6.208099e-01 6.208099e-01 6.208099e-01 6.208099e-01 6.208099e-01 6.208099e-01 6.208099e-01 6.208099e-01 6.208099e-01 8.055631e-01 8.515892e-01 8.602552e-01 8.602552e-01 8.602552e-01 8.602552e-01 9.009411e-01 9.884424e-01 9.885595e-01 #unique......... 162, #Total UniqueCount: 3243 var 1: best............ 1.000000e+00 mean............ 2.331453e+01 variance........ 1.368192e+04 var 2: best............ 1.000000e+00 mean............ 1.147730e+01 variance........ 5.128344e+03 var 3: best............ 1.000000e+00 mean............ 1.424509e+01 variance........ 7.076381e+03 var 4: best............ 1.000000e+00 mean............ 7.918708e+00 variance........ 2.782875e+03 var 5: best............ 9.986212e-01 mean............ 8.868353e+00 variance........ 5.192495e+03 var 6: best............ 8.937201e-01 mean............ 2.363357e+01 variance........ 1.191724e+04 var 7: best............ 9.737897e-01 mean............ 2.430939e+01 variance........ 1.170949e+04 var 8: best............ 1.000000e+00 mean............ 1.147565e+01 variance........ 5.007610e+03 var 9: best............ 1.000000e+00 mean............ 1.398648e+01 variance........ 6.723870e+03 var 10: best............ 2.243829e+01 mean............ 2.716203e+01 variance........ 2.346173e+03 var 11: best............ 1.000000e+00 mean............ 1.480501e+01 variance........ 5.377485e+03 var 12: best............ 1.000000e+00 mean............ 1.658639e+01 variance........ 7.077989e+03 var 13: best............ 1.000000e+00 mean............ 1.365605e+01 variance........ 7.012064e+03 var 14: best............ 1.000000e+00 mean............ 1.163181e+01 variance........ 4.558457e+03 var 15: best............ 1.000000e+00 mean............ 9.413716e+00 variance........ 3.089064e+03 var 16: best............ 1.000000e+00 mean............ 1.561486e+01 variance........ 6.470769e+03 var 17: best............ 1.000000e+00 mean............ 1.508383e+01 variance........ 8.133967e+03 var 18: best............ 1.000000e+00 mean............ 1.554471e+01 variance........ 7.103346e+03 var 19: best............ 4.899488e+02 mean............ 4.899865e+02 variance........ 2.345686e+03 var 20: best............ 7.232832e+01 mean............ 8.557675e+01 variance........ 6.747891e+03 var 21: best............ 1.000000e+00 mean............ 1.418709e+01 variance........ 5.769931e+03 var 22: best............ 9.399122e-01 mean............ 1.777245e+01 variance........ 8.454819e+03 var 23: best............ 1.000000e+00 mean............ 1.615225e+01 variance........ 7.476311e+03 var 24: best............ 1.000000e+00 mean............ 2.097916e+01 variance........ 1.002046e+04 var 25: best............ 1.000000e+00 mean............ 1.312431e+01 variance........ 4.372340e+03 var 26: best............ 1.000000e+00 mean............ 1.632872e+01 variance........ 7.378759e+03 var 27: best............ 9.803608e-01 mean............ 8.803424e+00 variance........ 3.648239e+03 GENERATION: 19 Lexical Fit..... 2.003818e-02 2.123067e-02 2.357542e-02 2.562049e-02 2.661625e-02 2.733010e-02 2.911425e-02 3.456292e-02 3.905960e-02 4.245438e-02 4.510717e-02 4.547991e-02 4.746808e-02 5.035351e-02 5.750981e-02 7.911985e-02 1.034972e-01 1.090329e-01 1.619628e-01 1.823135e-01 1.914489e-01 2.143325e-01 2.153739e-01 2.328760e-01 3.500241e-01 3.735355e-01 3.865045e-01 3.865045e-01 3.865045e-01 3.865045e-01 6.208099e-01 6.208099e-01 6.208099e-01 6.208099e-01 6.208099e-01 6.208099e-01 6.208099e-01 6.208099e-01 6.208099e-01 6.208099e-01 6.208099e-01 6.208099e-01 6.208099e-01 6.208099e-01 6.208099e-01 8.055631e-01 8.515892e-01 8.602552e-01 8.602552e-01 8.602552e-01 8.602552e-01 9.009411e-01 9.884424e-01 9.885595e-01 #unique......... 164, #Total UniqueCount: 3407 var 1: best............ 1.000000e+00 mean............ 1.211680e+01 variance........ 4.299186e+03 var 2: best............ 1.000000e+00 mean............ 1.050804e+01 variance........ 3.246323e+03 var 3: best............ 1.000000e+00 mean............ 1.944199e+01 variance........ 1.108967e+04 var 4: best............ 1.000000e+00 mean............ 1.827235e+01 variance........ 9.139333e+03 var 5: best............ 9.986212e-01 mean............ 2.012389e+01 variance........ 9.738385e+03 var 6: best............ 8.937201e-01 mean............ 7.378366e+00 variance........ 2.343367e+03 var 7: best............ 9.737897e-01 mean............ 1.897083e+01 variance........ 1.092713e+04 var 8: best............ 1.000000e+00 mean............ 1.321934e+01 variance........ 5.257103e+03 var 9: best............ 1.000000e+00 mean............ 2.061681e+01 variance........ 1.359796e+04 var 10: best............ 2.243829e+01 mean............ 3.376081e+01 variance........ 4.019057e+03 var 11: best............ 1.000000e+00 mean............ 2.953721e+01 variance........ 1.790025e+04 var 12: best............ 1.000000e+00 mean............ 9.757596e+00 variance........ 3.665010e+03 var 13: best............ 1.000000e+00 mean............ 1.472240e+01 variance........ 8.411948e+03 var 14: best............ 1.000000e+00 mean............ 2.509944e+01 variance........ 1.153385e+04 var 15: best............ 1.000000e+00 mean............ 1.244453e+01 variance........ 4.389383e+03 var 16: best............ 1.000000e+00 mean............ 2.139433e+01 variance........ 1.102640e+04 var 17: best............ 1.000000e+00 mean............ 2.662082e+01 variance........ 1.492872e+04 var 18: best............ 1.000000e+00 mean............ 2.311372e+01 variance........ 1.314319e+04 var 19: best............ 4.899488e+02 mean............ 4.910906e+02 variance........ 7.373879e+02 var 20: best............ 7.232832e+01 mean............ 8.029947e+01 variance........ 5.149185e+03 var 21: best............ 1.000000e+00 mean............ 1.575489e+01 variance........ 7.374747e+03 var 22: best............ 9.399122e-01 mean............ 1.081413e+01 variance........ 5.313964e+03 var 23: best............ 1.000000e+00 mean............ 1.224084e+01 variance........ 5.239498e+03 var 24: best............ 1.000000e+00 mean............ 1.939711e+01 variance........ 9.623810e+03 var 25: best............ 1.000000e+00 mean............ 1.153112e+01 variance........ 3.600296e+03 var 26: best............ 1.000000e+00 mean............ 1.499836e+01 variance........ 6.499114e+03 var 27: best............ 9.803608e-01 mean............ 1.281182e+01 variance........ 4.079223e+03 GENERATION: 20 Lexical Fit..... 2.003818e-02 2.123067e-02 2.357542e-02 2.562049e-02 2.661625e-02 2.733010e-02 2.911425e-02 3.456292e-02 3.905960e-02 4.245438e-02 4.510717e-02 4.547991e-02 4.746808e-02 5.035351e-02 5.750981e-02 7.911985e-02 1.034972e-01 1.090329e-01 1.619628e-01 1.823135e-01 1.914489e-01 2.143325e-01 2.153739e-01 2.328760e-01 3.500241e-01 3.735355e-01 3.865045e-01 3.865045e-01 3.865045e-01 3.865045e-01 6.208099e-01 6.208099e-01 6.208099e-01 6.208099e-01 6.208099e-01 6.208099e-01 6.208099e-01 6.208099e-01 6.208099e-01 6.208099e-01 6.208099e-01 6.208099e-01 6.208099e-01 6.208099e-01 6.208099e-01 8.055631e-01 8.515892e-01 8.602552e-01 8.602552e-01 8.602552e-01 8.602552e-01 9.009411e-01 9.884424e-01 9.885595e-01 #unique......... 163, #Total UniqueCount: 3570 var 1: best............ 1.000000e+00 mean............ 1.024337e+01 variance........ 5.215953e+03 var 2: best............ 1.000000e+00 mean............ 8.477962e+00 variance........ 2.501670e+03 var 3: best............ 1.000000e+00 mean............ 6.462270e+00 variance........ 1.168496e+03 var 4: best............ 1.000000e+00 mean............ 2.046538e+01 variance........ 1.126429e+04 var 5: best............ 9.986212e-01 mean............ 1.320243e+01 variance........ 5.921363e+03 var 6: best............ 8.937201e-01 mean............ 1.679764e+01 variance........ 9.941113e+03 var 7: best............ 9.737897e-01 mean............ 1.018171e+01 variance........ 4.392348e+03 var 8: best............ 1.000000e+00 mean............ 2.128140e+01 variance........ 9.730201e+03 var 9: best............ 1.000000e+00 mean............ 1.102941e+01 variance........ 4.964711e+03 var 10: best............ 2.243829e+01 mean............ 2.761444e+01 variance........ 2.773020e+03 var 11: best............ 1.000000e+00 mean............ 1.280021e+01 variance........ 5.865005e+03 var 12: best............ 1.000000e+00 mean............ 1.585419e+01 variance........ 7.468044e+03 var 13: best............ 1.000000e+00 mean............ 4.356368e+00 variance........ 9.844953e+02 var 14: best............ 1.000000e+00 mean............ 1.741790e+01 variance........ 9.430472e+03 var 15: best............ 1.000000e+00 mean............ 8.999024e+00 variance........ 3.559850e+03 var 16: best............ 1.000000e+00 mean............ 1.063150e+01 variance........ 4.448925e+03 var 17: best............ 1.000000e+00 mean............ 9.974007e+00 variance........ 3.477395e+03 var 18: best............ 1.000000e+00 mean............ 1.123313e+01 variance........ 3.955553e+03 var 19: best............ 4.899488e+02 mean............ 4.888701e+02 variance........ 8.892898e+02 var 20: best............ 7.232832e+01 mean............ 8.329950e+01 variance........ 5.420125e+03 var 21: best............ 1.000000e+00 mean............ 1.443472e+01 variance........ 5.630790e+03 var 22: best............ 9.399122e-01 mean............ 1.016393e+01 variance........ 3.937164e+03 var 23: best............ 1.000000e+00 mean............ 1.811396e+01 variance........ 1.029076e+04 var 24: best............ 1.000000e+00 mean............ 1.218196e+01 variance........ 5.819113e+03 var 25: best............ 1.000000e+00 mean............ 6.167486e+00 variance........ 2.317036e+03 var 26: best............ 1.000000e+00 mean............ 6.503116e+00 variance........ 1.769297e+03 var 27: best............ 9.803608e-01 mean............ 1.091340e+01 variance........ 4.292694e+03 Increasing 'max.generations' limit by 25 generations to 45 because the fitness is still impoving. GENERATION: 21 Lexical Fit..... 2.003818e-02 2.123067e-02 2.357542e-02 2.562049e-02 2.661625e-02 2.733010e-02 2.911425e-02 3.456292e-02 3.905960e-02 4.245438e-02 4.510717e-02 4.547991e-02 4.746808e-02 5.035351e-02 5.750981e-02 7.911985e-02 1.034972e-01 1.090329e-01 1.619628e-01 1.823135e-01 1.914489e-01 2.143325e-01 2.153739e-01 2.328760e-01 3.500241e-01 3.735355e-01 3.865045e-01 3.865045e-01 3.865045e-01 3.865045e-01 6.208099e-01 6.208099e-01 6.208099e-01 6.208099e-01 6.208099e-01 6.208099e-01 6.208099e-01 6.208099e-01 6.208099e-01 6.208099e-01 6.208099e-01 6.208099e-01 6.208099e-01 6.208099e-01 6.208099e-01 8.055631e-01 8.515892e-01 8.602552e-01 8.602552e-01 8.602552e-01 8.602552e-01 9.009411e-01 9.884424e-01 9.885595e-01 #unique......... 166, #Total UniqueCount: 3736 var 1: best............ 1.000000e+00 mean............ 2.682064e+01 variance........ 1.352891e+04 var 2: best............ 1.000000e+00 mean............ 1.587121e+01 variance........ 9.495637e+03 var 3: best............ 1.000000e+00 mean............ 8.461338e+00 variance........ 2.424039e+03 var 4: best............ 1.000000e+00 mean............ 1.484458e+01 variance........ 5.890874e+03 var 5: best............ 9.986212e-01 mean............ 7.953729e+00 variance........ 2.056960e+03 var 6: best............ 8.937201e-01 mean............ 2.163902e+01 variance........ 1.156062e+04 var 7: best............ 9.737897e-01 mean............ 1.179883e+01 variance........ 4.758196e+03 var 8: best............ 1.000000e+00 mean............ 1.815879e+01 variance........ 7.569876e+03 var 9: best............ 1.000000e+00 mean............ 1.883112e+01 variance........ 9.442392e+03 var 10: best............ 2.243829e+01 mean............ 3.396149e+01 variance........ 5.364108e+03 var 11: best............ 1.000000e+00 mean............ 2.339941e+01 variance........ 9.038968e+03 var 12: best............ 1.000000e+00 mean............ 2.665543e+01 variance........ 1.391426e+04 var 13: best............ 1.000000e+00 mean............ 1.624597e+01 variance........ 6.872300e+03 var 14: best............ 1.000000e+00 mean............ 1.563301e+01 variance........ 5.773675e+03 var 15: best............ 1.000000e+00 mean............ 1.893640e+01 variance........ 7.631974e+03 var 16: best............ 1.000000e+00 mean............ 1.043376e+01 variance........ 3.417610e+03 var 17: best............ 1.000000e+00 mean............ 1.554979e+01 variance........ 6.754875e+03 var 18: best............ 1.000000e+00 mean............ 7.951373e+00 variance........ 2.199756e+03 var 19: best............ 4.899488e+02 mean............ 4.867094e+02 variance........ 1.753261e+03 var 20: best............ 7.232832e+01 mean............ 8.454188e+01 variance........ 7.211115e+03 var 21: best............ 1.000000e+00 mean............ 2.276087e+01 variance........ 1.025722e+04 var 22: best............ 9.399122e-01 mean............ 1.560426e+01 variance........ 6.355492e+03 var 23: best............ 1.000000e+00 mean............ 1.481099e+01 variance........ 7.842879e+03 var 24: best............ 1.000000e+00 mean............ 1.634608e+01 variance........ 5.796564e+03 var 25: best............ 1.000000e+00 mean............ 1.266686e+01 variance........ 4.976529e+03 var 26: best............ 1.000000e+00 mean............ 1.158656e+01 variance........ 5.143185e+03 var 27: best............ 9.803608e-01 mean............ 1.419647e+01 variance........ 4.180450e+03 GENERATION: 22 Lexical Fit..... 2.003818e-02 2.123067e-02 2.357542e-02 2.562049e-02 2.661625e-02 2.733010e-02 2.911425e-02 3.456292e-02 3.905960e-02 4.245438e-02 4.510717e-02 4.547991e-02 4.746808e-02 5.035351e-02 5.750981e-02 7.911985e-02 1.034972e-01 1.090329e-01 1.619628e-01 1.823135e-01 1.914489e-01 2.143325e-01 2.153739e-01 2.328760e-01 3.500241e-01 3.735355e-01 3.865045e-01 3.865045e-01 3.865045e-01 3.865045e-01 6.208099e-01 6.208099e-01 6.208099e-01 6.208099e-01 6.208099e-01 6.208099e-01 6.208099e-01 6.208099e-01 6.208099e-01 6.208099e-01 6.208099e-01 6.208099e-01 6.208099e-01 6.208099e-01 6.208099e-01 8.055631e-01 8.515892e-01 8.602552e-01 8.602552e-01 8.602552e-01 8.602552e-01 9.009411e-01 9.884424e-01 9.885595e-01 #unique......... 162, #Total UniqueCount: 3898 var 1: best............ 1.000000e+00 mean............ 1.409135e+01 variance........ 6.810537e+03 var 2: best............ 1.000000e+00 mean............ 1.551839e+01 variance........ 8.622584e+03 var 3: best............ 1.000000e+00 mean............ 1.185999e+01 variance........ 4.655356e+03 var 4: best............ 1.000000e+00 mean............ 1.745259e+01 variance........ 7.113780e+03 var 5: best............ 9.986212e-01 mean............ 1.192194e+01 variance........ 4.380357e+03 var 6: best............ 8.937201e-01 mean............ 1.220697e+01 variance........ 5.313700e+03 var 7: best............ 9.737897e-01 mean............ 1.881004e+01 variance........ 8.140314e+03 var 8: best............ 1.000000e+00 mean............ 1.318149e+01 variance........ 7.005991e+03 var 9: best............ 1.000000e+00 mean............ 1.732281e+01 variance........ 8.005491e+03 var 10: best............ 2.243829e+01 mean............ 2.826382e+01 variance........ 1.260542e+03 var 11: best............ 1.000000e+00 mean............ 1.048595e+01 variance........ 1.920549e+03 var 12: best............ 1.000000e+00 mean............ 1.684577e+01 variance........ 6.030133e+03 var 13: best............ 1.000000e+00 mean............ 1.682188e+01 variance........ 7.986758e+03 var 14: best............ 1.000000e+00 mean............ 1.662860e+01 variance........ 6.998671e+03 var 15: best............ 1.000000e+00 mean............ 1.764798e+01 variance........ 8.347494e+03 var 16: best............ 1.000000e+00 mean............ 1.320843e+01 variance........ 4.397453e+03 var 17: best............ 1.000000e+00 mean............ 2.315127e+01 variance........ 1.149567e+04 var 18: best............ 1.000000e+00 mean............ 1.781971e+01 variance........ 8.769377e+03 var 19: best............ 4.899488e+02 mean............ 4.915855e+02 variance........ 1.001618e+03 var 20: best............ 7.232832e+01 mean............ 8.035404e+01 variance........ 5.897138e+03 var 21: best............ 1.000000e+00 mean............ 1.331193e+01 variance........ 5.467793e+03 var 22: best............ 9.399122e-01 mean............ 1.950314e+01 variance........ 7.940478e+03 var 23: best............ 1.000000e+00 mean............ 1.628839e+01 variance........ 7.686434e+03 var 24: best............ 1.000000e+00 mean............ 1.484081e+01 variance........ 4.821989e+03 var 25: best............ 1.000000e+00 mean............ 9.707865e+00 variance........ 3.806885e+03 var 26: best............ 1.000000e+00 mean............ 6.337297e+00 variance........ 1.871983e+03 var 27: best............ 9.803608e-01 mean............ 1.596761e+01 variance........ 8.420956e+03 GENERATION: 23 Lexical Fit..... 2.003818e-02 2.123067e-02 2.357542e-02 2.562049e-02 2.661625e-02 2.733010e-02 2.911425e-02 3.456292e-02 3.905960e-02 4.245438e-02 4.510717e-02 4.547991e-02 4.746808e-02 5.035351e-02 5.750981e-02 7.911985e-02 1.034972e-01 1.090329e-01 1.619628e-01 1.823135e-01 1.914489e-01 2.143325e-01 2.153739e-01 2.328760e-01 3.500241e-01 3.735355e-01 3.865045e-01 3.865045e-01 3.865045e-01 3.865045e-01 6.208099e-01 6.208099e-01 6.208099e-01 6.208099e-01 6.208099e-01 6.208099e-01 6.208099e-01 6.208099e-01 6.208099e-01 6.208099e-01 6.208099e-01 6.208099e-01 6.208099e-01 6.208099e-01 6.208099e-01 8.055631e-01 8.515892e-01 8.602552e-01 8.602552e-01 8.602552e-01 8.602552e-01 9.009411e-01 9.884424e-01 9.885595e-01 #unique......... 156, #Total UniqueCount: 4054 var 1: best............ 1.000000e+00 mean............ 1.516936e+01 variance........ 6.676397e+03 var 2: best............ 1.000000e+00 mean............ 1.485091e+01 variance........ 6.558294e+03 var 3: best............ 1.000000e+00 mean............ 1.445590e+01 variance........ 5.580027e+03 var 4: best............ 1.000000e+00 mean............ 1.288013e+01 variance........ 5.687062e+03 var 5: best............ 9.986212e-01 mean............ 8.512953e+00 variance........ 2.429705e+03 var 6: best............ 8.937201e-01 mean............ 1.666245e+01 variance........ 7.223631e+03 var 7: best............ 9.737897e-01 mean............ 1.347086e+01 variance........ 4.892861e+03 var 8: best............ 1.000000e+00 mean............ 1.105803e+01 variance........ 3.760580e+03 var 9: best............ 1.000000e+00 mean............ 1.036672e+01 variance........ 3.991138e+03 var 10: best............ 2.243829e+01 mean............ 3.188503e+01 variance........ 5.482256e+03 var 11: best............ 1.000000e+00 mean............ 1.370945e+01 variance........ 5.139284e+03 var 12: best............ 1.000000e+00 mean............ 1.359794e+01 variance........ 6.204491e+03 var 13: best............ 1.000000e+00 mean............ 1.539093e+01 variance........ 6.164729e+03 var 14: best............ 1.000000e+00 mean............ 1.217395e+01 variance........ 4.978763e+03 var 15: best............ 1.000000e+00 mean............ 1.038342e+01 variance........ 5.772556e+03 var 16: best............ 1.000000e+00 mean............ 1.450848e+01 variance........ 5.737919e+03 var 17: best............ 1.000000e+00 mean............ 1.453487e+01 variance........ 4.057606e+03 var 18: best............ 1.000000e+00 mean............ 1.051358e+01 variance........ 4.863620e+03 var 19: best............ 4.899488e+02 mean............ 4.893064e+02 variance........ 1.976785e+03 var 20: best............ 7.232832e+01 mean............ 7.505137e+01 variance........ 1.179762e+03 var 21: best............ 1.000000e+00 mean............ 1.138170e+01 variance........ 3.579700e+03 var 22: best............ 9.399122e-01 mean............ 1.756820e+01 variance........ 7.899982e+03 var 23: best............ 1.000000e+00 mean............ 1.560597e+01 variance........ 7.427004e+03 var 24: best............ 1.000000e+00 mean............ 9.842270e+00 variance........ 4.415380e+03 var 25: best............ 1.000000e+00 mean............ 1.593163e+01 variance........ 5.407165e+03 var 26: best............ 1.000000e+00 mean............ 1.512434e+01 variance........ 8.341148e+03 var 27: best............ 9.803608e-01 mean............ 1.135017e+01 variance........ 4.388692e+03 GENERATION: 24 Lexical Fit..... 2.003818e-02 2.123067e-02 2.357542e-02 2.562049e-02 2.661625e-02 2.733010e-02 2.911425e-02 3.456292e-02 3.905960e-02 4.245438e-02 4.510717e-02 4.547991e-02 4.746808e-02 5.035351e-02 5.750981e-02 7.911985e-02 1.034972e-01 1.090329e-01 1.619628e-01 1.823135e-01 1.914489e-01 2.143325e-01 2.153739e-01 2.328760e-01 3.500241e-01 3.735355e-01 3.865045e-01 3.865045e-01 3.865045e-01 3.865045e-01 6.208099e-01 6.208099e-01 6.208099e-01 6.208099e-01 6.208099e-01 6.208099e-01 6.208099e-01 6.208099e-01 6.208099e-01 6.208099e-01 6.208099e-01 6.208099e-01 6.208099e-01 6.208099e-01 6.208099e-01 8.055631e-01 8.515892e-01 8.602552e-01 8.602552e-01 8.602552e-01 8.602552e-01 9.009411e-01 9.884424e-01 9.885595e-01 #unique......... 162, #Total UniqueCount: 4216 var 1: best............ 1.000000e+00 mean............ 1.204074e+01 variance........ 6.060975e+03 var 2: best............ 1.000000e+00 mean............ 5.921814e+00 variance........ 2.090334e+03 var 3: best............ 1.000000e+00 mean............ 1.818545e+01 variance........ 8.762906e+03 var 4: best............ 1.000000e+00 mean............ 8.923299e+00 variance........ 3.273006e+03 var 5: best............ 9.986212e-01 mean............ 2.020463e+01 variance........ 9.809208e+03 var 6: best............ 8.937201e-01 mean............ 9.926274e+00 variance........ 4.121561e+03 var 7: best............ 9.737897e-01 mean............ 1.093168e+01 variance........ 4.188467e+03 var 8: best............ 1.000000e+00 mean............ 7.212470e+00 variance........ 3.566173e+03 var 9: best............ 1.000000e+00 mean............ 1.237789e+01 variance........ 6.716353e+03 var 10: best............ 2.243829e+01 mean............ 3.356234e+01 variance........ 5.633160e+03 var 11: best............ 1.000000e+00 mean............ 8.494348e+00 variance........ 2.898759e+03 var 12: best............ 1.000000e+00 mean............ 1.161995e+01 variance........ 5.277463e+03 var 13: best............ 1.000000e+00 mean............ 1.416577e+01 variance........ 7.657998e+03 var 14: best............ 1.000000e+00 mean............ 1.402852e+01 variance........ 6.386709e+03 var 15: best............ 1.000000e+00 mean............ 1.474535e+01 variance........ 7.283712e+03 var 16: best............ 1.000000e+00 mean............ 1.344203e+01 variance........ 6.290384e+03 var 17: best............ 1.000000e+00 mean............ 6.904283e+00 variance........ 1.908344e+03 var 18: best............ 1.000000e+00 mean............ 1.323725e+01 variance........ 5.344654e+03 var 19: best............ 4.899488e+02 mean............ 4.870903e+02 variance........ 1.400119e+03 var 20: best............ 7.232832e+01 mean............ 7.610925e+01 variance........ 2.388487e+03 var 21: best............ 1.000000e+00 mean............ 1.089450e+01 variance........ 3.485235e+03 var 22: best............ 9.399122e-01 mean............ 7.703463e+00 variance........ 2.313529e+03 var 23: best............ 1.000000e+00 mean............ 8.596204e+00 variance........ 1.832097e+03 var 24: best............ 1.000000e+00 mean............ 8.869229e+00 variance........ 4.892920e+03 var 25: best............ 1.000000e+00 mean............ 1.016767e+01 variance........ 3.367616e+03 var 26: best............ 1.000000e+00 mean............ 1.207485e+01 variance........ 4.807381e+03 var 27: best............ 9.803608e-01 mean............ 9.229948e+00 variance........ 4.443729e+03 GENERATION: 25 Lexical Fit..... 2.003818e-02 2.123067e-02 2.357542e-02 2.562049e-02 2.661625e-02 2.733010e-02 2.911425e-02 3.456292e-02 3.905960e-02 4.245438e-02 4.510717e-02 4.547991e-02 4.746808e-02 5.035351e-02 5.750981e-02 7.911985e-02 1.034972e-01 1.090329e-01 1.619628e-01 1.823135e-01 1.914489e-01 2.143325e-01 2.153739e-01 2.328760e-01 3.500241e-01 3.735355e-01 3.865045e-01 3.865045e-01 3.865045e-01 3.865045e-01 6.208099e-01 6.208099e-01 6.208099e-01 6.208099e-01 6.208099e-01 6.208099e-01 6.208099e-01 6.208099e-01 6.208099e-01 6.208099e-01 6.208099e-01 6.208099e-01 6.208099e-01 6.208099e-01 6.208099e-01 8.055631e-01 8.515892e-01 8.602552e-01 8.602552e-01 8.602552e-01 8.602552e-01 9.009411e-01 9.884424e-01 9.885595e-01 #unique......... 161, #Total UniqueCount: 4377 var 1: best............ 1.000000e+00 mean............ 1.308627e+01 variance........ 4.945232e+03 var 2: best............ 1.000000e+00 mean............ 1.644123e+01 variance........ 8.840187e+03 var 3: best............ 1.000000e+00 mean............ 8.796408e+00 variance........ 2.200061e+03 var 4: best............ 1.000000e+00 mean............ 1.632856e+01 variance........ 8.122819e+03 var 5: best............ 9.986212e-01 mean............ 1.468017e+01 variance........ 4.985938e+03 var 6: best............ 8.937201e-01 mean............ 1.935877e+01 variance........ 8.926115e+03 var 7: best............ 9.737897e-01 mean............ 9.508266e+00 variance........ 2.494007e+03 var 8: best............ 1.000000e+00 mean............ 1.783097e+01 variance........ 9.521814e+03 var 9: best............ 1.000000e+00 mean............ 1.393367e+01 variance........ 5.292574e+03 var 10: best............ 2.243829e+01 mean............ 2.409018e+01 variance........ 1.319273e+02 var 11: best............ 1.000000e+00 mean............ 2.023923e+01 variance........ 1.027260e+04 var 12: best............ 1.000000e+00 mean............ 4.983836e+00 variance........ 9.759760e+02 var 13: best............ 1.000000e+00 mean............ 1.991848e+01 variance........ 9.002281e+03 var 14: best............ 1.000000e+00 mean............ 1.237371e+01 variance........ 4.652034e+03 var 15: best............ 1.000000e+00 mean............ 1.528451e+01 variance........ 6.841708e+03 var 16: best............ 1.000000e+00 mean............ 6.964335e+00 variance........ 1.970901e+03 var 17: best............ 1.000000e+00 mean............ 2.414599e+01 variance........ 1.373439e+04 var 18: best............ 1.000000e+00 mean............ 1.388944e+01 variance........ 7.139197e+03 var 19: best............ 4.899488e+02 mean............ 4.880504e+02 variance........ 1.396839e+03 var 20: best............ 7.232832e+01 mean............ 8.117500e+01 variance........ 3.388781e+03 var 21: best............ 1.000000e+00 mean............ 1.019283e+01 variance........ 3.501372e+03 var 22: best............ 9.399122e-01 mean............ 1.086847e+01 variance........ 2.954345e+03 var 23: best............ 1.000000e+00 mean............ 1.166746e+01 variance........ 3.650613e+03 var 24: best............ 1.000000e+00 mean............ 1.844070e+01 variance........ 9.279416e+03 var 25: best............ 1.000000e+00 mean............ 1.617655e+01 variance........ 8.058444e+03 var 26: best............ 1.000000e+00 mean............ 1.840906e+01 variance........ 7.020105e+03 var 27: best............ 9.803608e-01 mean............ 2.734713e+01 variance........ 1.582923e+04 GENERATION: 26 Lexical Fit..... 2.003818e-02 2.123067e-02 2.357542e-02 2.562049e-02 2.661625e-02 2.733010e-02 2.911425e-02 3.456292e-02 3.905960e-02 4.245438e-02 4.510717e-02 4.547991e-02 4.746808e-02 5.035351e-02 5.750981e-02 7.911985e-02 1.034972e-01 1.090329e-01 1.619628e-01 1.823135e-01 1.914489e-01 2.143325e-01 2.153739e-01 2.328760e-01 3.500241e-01 3.735355e-01 3.865045e-01 3.865045e-01 3.865045e-01 3.865045e-01 6.208099e-01 6.208099e-01 6.208099e-01 6.208099e-01 6.208099e-01 6.208099e-01 6.208099e-01 6.208099e-01 6.208099e-01 6.208099e-01 6.208099e-01 6.208099e-01 6.208099e-01 6.208099e-01 6.208099e-01 8.055631e-01 8.515892e-01 8.602552e-01 8.602552e-01 8.602552e-01 8.602552e-01 9.009411e-01 9.884424e-01 9.885595e-01 #unique......... 162, #Total UniqueCount: 4539 var 1: best............ 1.000000e+00 mean............ 1.262025e+01 variance........ 4.864678e+03 var 2: best............ 1.000000e+00 mean............ 8.050493e+00 variance........ 2.340740e+03 var 3: best............ 1.000000e+00 mean............ 1.116361e+01 variance........ 4.416458e+03 var 4: best............ 1.000000e+00 mean............ 9.870017e+00 variance........ 5.585341e+03 var 5: best............ 9.986212e-01 mean............ 1.342089e+01 variance........ 4.851300e+03 var 6: best............ 8.937201e-01 mean............ 1.636313e+01 variance........ 8.609549e+03 var 7: best............ 9.737897e-01 mean............ 2.920602e+00 variance........ 3.126515e+02 var 8: best............ 1.000000e+00 mean............ 7.544777e+00 variance........ 1.614812e+03 var 9: best............ 1.000000e+00 mean............ 1.057522e+01 variance........ 4.704375e+03 var 10: best............ 2.243829e+01 mean............ 3.551755e+01 variance........ 4.727950e+03 var 11: best............ 1.000000e+00 mean............ 9.728490e+00 variance........ 3.895359e+03 var 12: best............ 1.000000e+00 mean............ 1.219824e+01 variance........ 6.396370e+03 var 13: best............ 1.000000e+00 mean............ 6.620700e+00 variance........ 1.623566e+03 var 14: best............ 1.000000e+00 mean............ 1.029799e+01 variance........ 2.797419e+03 var 15: best............ 1.000000e+00 mean............ 1.195256e+01 variance........ 4.055546e+03 var 16: best............ 1.000000e+00 mean............ 5.409315e+00 variance........ 1.026012e+03 var 17: best............ 1.000000e+00 mean............ 4.192915e+00 variance........ 8.102529e+02 var 18: best............ 1.000000e+00 mean............ 1.626151e+01 variance........ 7.747371e+03 var 19: best............ 4.899488e+02 mean............ 4.821955e+02 variance........ 2.737018e+03 var 20: best............ 7.232832e+01 mean............ 7.796825e+01 variance........ 2.395455e+03 var 21: best............ 1.000000e+00 mean............ 1.309923e+01 variance........ 4.099553e+03 var 22: best............ 9.399122e-01 mean............ 1.128701e+01 variance........ 6.527221e+03 var 23: best............ 1.000000e+00 mean............ 5.339044e+00 variance........ 8.544096e+02 var 24: best............ 1.000000e+00 mean............ 1.687069e+01 variance........ 6.719487e+03 var 25: best............ 1.000000e+00 mean............ 9.501304e+00 variance........ 3.947204e+03 var 26: best............ 1.000000e+00 mean............ 1.627284e+01 variance........ 9.320061e+03 var 27: best............ 9.803608e-01 mean............ 1.049076e+01 variance........ 3.327254e+03 GENERATION: 27 Lexical Fit..... 2.003818e-02 2.123067e-02 2.357542e-02 2.562049e-02 2.661625e-02 2.733010e-02 2.911425e-02 3.456292e-02 3.905960e-02 4.245438e-02 4.510717e-02 4.547991e-02 4.746808e-02 5.035351e-02 5.750981e-02 7.911985e-02 1.034972e-01 1.090329e-01 1.619628e-01 1.823135e-01 1.914489e-01 2.143325e-01 2.153739e-01 2.328760e-01 3.500241e-01 3.735355e-01 3.865045e-01 3.865045e-01 3.865045e-01 3.865045e-01 6.208099e-01 6.208099e-01 6.208099e-01 6.208099e-01 6.208099e-01 6.208099e-01 6.208099e-01 6.208099e-01 6.208099e-01 6.208099e-01 6.208099e-01 6.208099e-01 6.208099e-01 6.208099e-01 6.208099e-01 8.055631e-01 8.515892e-01 8.602552e-01 8.602552e-01 8.602552e-01 8.602552e-01 9.009411e-01 9.884424e-01 9.885595e-01 #unique......... 169, #Total UniqueCount: 4708 var 1: best............ 1.000000e+00 mean............ 6.984173e+00 variance........ 2.633767e+03 var 2: best............ 1.000000e+00 mean............ 9.032746e+00 variance........ 3.675849e+03 var 3: best............ 1.000000e+00 mean............ 1.833434e+01 variance........ 7.521316e+03 var 4: best............ 1.000000e+00 mean............ 1.063412e+01 variance........ 2.543358e+03 var 5: best............ 9.986212e-01 mean............ 8.341469e+00 variance........ 3.003630e+03 var 6: best............ 8.937201e-01 mean............ 1.027061e+01 variance........ 3.767501e+03 var 7: best............ 9.737897e-01 mean............ 9.436680e+00 variance........ 3.208338e+03 var 8: best............ 1.000000e+00 mean............ 4.677654e+00 variance........ 9.938000e+02 var 9: best............ 1.000000e+00 mean............ 1.132805e+01 variance........ 3.759621e+03 var 10: best............ 2.243829e+01 mean............ 3.288595e+01 variance........ 5.427221e+03 var 11: best............ 1.000000e+00 mean............ 1.292587e+01 variance........ 6.402794e+03 var 12: best............ 1.000000e+00 mean............ 1.668022e+01 variance........ 8.496306e+03 var 13: best............ 1.000000e+00 mean............ 8.787164e+00 variance........ 3.962602e+03 var 14: best............ 1.000000e+00 mean............ 9.881366e+00 variance........ 3.119238e+03 var 15: best............ 1.000000e+00 mean............ 1.638030e+01 variance........ 8.321497e+03 var 16: best............ 1.000000e+00 mean............ 1.197302e+01 variance........ 5.920940e+03 var 17: best............ 1.000000e+00 mean............ 1.671118e+01 variance........ 7.132006e+03 var 18: best............ 1.000000e+00 mean............ 5.928093e+00 variance........ 1.715383e+03 var 19: best............ 4.899488e+02 mean............ 4.881174e+02 variance........ 1.373548e+03 var 20: best............ 7.232832e+01 mean............ 7.765103e+01 variance........ 3.353522e+03 var 21: best............ 1.000000e+00 mean............ 2.361755e+01 variance........ 1.249655e+04 var 22: best............ 9.399122e-01 mean............ 1.087412e+01 variance........ 3.629428e+03 var 23: best............ 1.000000e+00 mean............ 1.282642e+01 variance........ 5.874144e+03 var 24: best............ 1.000000e+00 mean............ 1.136202e+01 variance........ 3.719128e+03 var 25: best............ 1.000000e+00 mean............ 1.903262e+01 variance........ 7.504641e+03 var 26: best............ 1.000000e+00 mean............ 1.898946e+01 variance........ 1.027817e+04 var 27: best............ 9.803608e-01 mean............ 1.829006e+01 variance........ 7.493477e+03 GENERATION: 28 Lexical Fit..... 2.003818e-02 2.123067e-02 2.357542e-02 2.562049e-02 2.661625e-02 2.733010e-02 2.911425e-02 3.456292e-02 3.905960e-02 4.245438e-02 4.510717e-02 4.547991e-02 4.746808e-02 5.035351e-02 5.750981e-02 7.911985e-02 1.034972e-01 1.090329e-01 1.619628e-01 1.823135e-01 1.914489e-01 2.143325e-01 2.153739e-01 2.328760e-01 3.500241e-01 3.735355e-01 3.865045e-01 3.865045e-01 3.865045e-01 3.865045e-01 6.208099e-01 6.208099e-01 6.208099e-01 6.208099e-01 6.208099e-01 6.208099e-01 6.208099e-01 6.208099e-01 6.208099e-01 6.208099e-01 6.208099e-01 6.208099e-01 6.208099e-01 6.208099e-01 6.208099e-01 8.055631e-01 8.515892e-01 8.602552e-01 8.602552e-01 8.602552e-01 8.602552e-01 9.009411e-01 9.884424e-01 9.885595e-01 #unique......... 157, #Total UniqueCount: 4865 var 1: best............ 1.000000e+00 mean............ 1.148686e+01 variance........ 5.057373e+03 var 2: best............ 1.000000e+00 mean............ 4.563524e+00 variance........ 1.013676e+03 var 3: best............ 1.000000e+00 mean............ 1.903233e+01 variance........ 1.210491e+04 var 4: best............ 1.000000e+00 mean............ 3.024488e+00 variance........ 2.122688e+02 var 5: best............ 9.986212e-01 mean............ 7.637269e+00 variance........ 2.487560e+03 var 6: best............ 8.937201e-01 mean............ 2.004010e+00 variance........ 1.445662e+02 var 7: best............ 9.737897e-01 mean............ 1.161776e+01 variance........ 4.547473e+03 var 8: best............ 1.000000e+00 mean............ 5.307182e+00 variance........ 1.049122e+03 var 9: best............ 1.000000e+00 mean............ 1.369753e+01 variance........ 5.580689e+03 var 10: best............ 2.243829e+01 mean............ 3.275577e+01 variance........ 4.379754e+03 var 11: best............ 1.000000e+00 mean............ 1.018782e+01 variance........ 2.347302e+03 var 12: best............ 1.000000e+00 mean............ 1.511185e+01 variance........ 7.622756e+03 var 13: best............ 1.000000e+00 mean............ 1.089152e+01 variance........ 3.613354e+03 var 14: best............ 1.000000e+00 mean............ 1.697640e+01 variance........ 8.976175e+03 var 15: best............ 1.000000e+00 mean............ 8.549001e+00 variance........ 3.055819e+03 var 16: best............ 1.000000e+00 mean............ 1.049727e+01 variance........ 3.260506e+03 var 17: best............ 1.000000e+00 mean............ 1.213017e+01 variance........ 6.449047e+03 var 18: best............ 1.000000e+00 mean............ 7.862430e+00 variance........ 3.794830e+03 var 19: best............ 4.899488e+02 mean............ 4.893585e+02 variance........ 1.475140e+03 var 20: best............ 7.232832e+01 mean............ 8.876138e+01 variance........ 9.017235e+03 var 21: best............ 1.000000e+00 mean............ 1.260898e+01 variance........ 4.881845e+03 var 22: best............ 9.399122e-01 mean............ 1.206180e+01 variance........ 4.795464e+03 var 23: best............ 1.000000e+00 mean............ 7.050549e+00 variance........ 1.532518e+03 var 24: best............ 1.000000e+00 mean............ 1.052299e+01 variance........ 3.734022e+03 var 25: best............ 1.000000e+00 mean............ 1.241596e+01 variance........ 6.953306e+03 var 26: best............ 1.000000e+00 mean............ 1.042670e+01 variance........ 4.042673e+03 var 27: best............ 9.803608e-01 mean............ 1.471852e+01 variance........ 7.588829e+03 GENERATION: 29 Lexical Fit..... 2.003818e-02 2.123067e-02 2.357542e-02 2.562049e-02 2.661625e-02 2.733010e-02 2.911425e-02 3.456292e-02 3.905960e-02 4.245438e-02 4.510717e-02 4.547991e-02 4.746808e-02 5.035351e-02 5.750981e-02 7.911985e-02 1.034972e-01 1.090329e-01 1.619628e-01 1.823135e-01 1.914489e-01 2.143325e-01 2.153739e-01 2.328760e-01 3.500241e-01 3.735355e-01 3.865045e-01 3.865045e-01 3.865045e-01 3.865045e-01 6.208099e-01 6.208099e-01 6.208099e-01 6.208099e-01 6.208099e-01 6.208099e-01 6.208099e-01 6.208099e-01 6.208099e-01 6.208099e-01 6.208099e-01 6.208099e-01 6.208099e-01 6.208099e-01 6.208099e-01 8.055631e-01 8.515892e-01 8.602552e-01 8.602552e-01 8.602552e-01 8.602552e-01 9.009411e-01 9.884424e-01 9.885595e-01 #unique......... 164, #Total UniqueCount: 5029 var 1: best............ 1.000000e+00 mean............ 1.750079e+01 variance........ 8.478794e+03 var 2: best............ 1.000000e+00 mean............ 2.014753e+01 variance........ 8.448465e+03 var 3: best............ 1.000000e+00 mean............ 1.618796e+01 variance........ 7.832368e+03 var 4: best............ 1.000000e+00 mean............ 9.497920e+00 variance........ 3.615943e+03 var 5: best............ 9.986212e-01 mean............ 1.167566e+01 variance........ 5.117875e+03 var 6: best............ 8.937201e-01 mean............ 7.299279e+00 variance........ 1.761784e+03 var 7: best............ 9.737897e-01 mean............ 1.855074e+01 variance........ 8.149759e+03 var 8: best............ 1.000000e+00 mean............ 1.906625e+01 variance........ 1.082298e+04 var 9: best............ 1.000000e+00 mean............ 1.097746e+01 variance........ 3.983709e+03 var 10: best............ 2.243829e+01 mean............ 3.792016e+01 variance........ 7.920056e+03 var 11: best............ 1.000000e+00 mean............ 1.680538e+01 variance........ 6.955101e+03 var 12: best............ 1.000000e+00 mean............ 1.148603e+01 variance........ 3.435755e+03 var 13: best............ 1.000000e+00 mean............ 1.523915e+01 variance........ 8.332670e+03 var 14: best............ 1.000000e+00 mean............ 1.377503e+01 variance........ 4.843831e+03 var 15: best............ 1.000000e+00 mean............ 1.362188e+01 variance........ 5.963225e+03 var 16: best............ 1.000000e+00 mean............ 1.592149e+01 variance........ 5.047007e+03 var 17: best............ 1.000000e+00 mean............ 8.718866e+00 variance........ 2.503911e+03 var 18: best............ 1.000000e+00 mean............ 1.000736e+01 variance........ 2.894366e+03 var 19: best............ 4.899488e+02 mean............ 4.864263e+02 variance........ 2.906859e+03 var 20: best............ 7.232832e+01 mean............ 8.212401e+01 variance........ 4.863990e+03 var 21: best............ 1.000000e+00 mean............ 3.224730e+01 variance........ 1.871771e+04 var 22: best............ 9.399122e-01 mean............ 9.201766e+00 variance........ 2.924213e+03 var 23: best............ 1.000000e+00 mean............ 1.646439e+01 variance........ 8.048580e+03 var 24: best............ 1.000000e+00 mean............ 1.463583e+01 variance........ 5.098220e+03 var 25: best............ 1.000000e+00 mean............ 1.215805e+01 variance........ 5.660056e+03 var 26: best............ 1.000000e+00 mean............ 1.576651e+01 variance........ 7.385928e+03 var 27: best............ 9.803608e-01 mean............ 1.959941e+01 variance........ 9.469097e+03 GENERATION: 30 Lexical Fit..... 2.003818e-02 2.123067e-02 2.357542e-02 2.562049e-02 2.661625e-02 2.733010e-02 2.911425e-02 3.456292e-02 3.905960e-02 4.245438e-02 4.510717e-02 4.547991e-02 4.746808e-02 5.035351e-02 5.750981e-02 7.911985e-02 1.034972e-01 1.090329e-01 1.619628e-01 1.823135e-01 1.914489e-01 2.143325e-01 2.153739e-01 2.328760e-01 3.500241e-01 3.735355e-01 3.865045e-01 3.865045e-01 3.865045e-01 3.865045e-01 6.208099e-01 6.208099e-01 6.208099e-01 6.208099e-01 6.208099e-01 6.208099e-01 6.208099e-01 6.208099e-01 6.208099e-01 6.208099e-01 6.208099e-01 6.208099e-01 6.208099e-01 6.208099e-01 6.208099e-01 8.055631e-01 8.515892e-01 8.602552e-01 8.602552e-01 8.602552e-01 8.602552e-01 9.009411e-01 9.884424e-01 9.885595e-01 #unique......... 157, #Total UniqueCount: 5186 var 1: best............ 1.000000e+00 mean............ 9.320065e+00 variance........ 2.194435e+03 var 2: best............ 1.000000e+00 mean............ 1.208952e+01 variance........ 3.965698e+03 var 3: best............ 1.000000e+00 mean............ 6.551196e+00 variance........ 1.341584e+03 var 4: best............ 1.000000e+00 mean............ 1.431163e+01 variance........ 5.055399e+03 var 5: best............ 9.986212e-01 mean............ 1.206836e+01 variance........ 6.054620e+03 var 6: best............ 8.937201e-01 mean............ 1.595745e+01 variance........ 6.818895e+03 var 7: best............ 9.737897e-01 mean............ 9.320869e+00 variance........ 4.192990e+03 var 8: best............ 1.000000e+00 mean............ 1.389218e+01 variance........ 5.404427e+03 var 9: best............ 1.000000e+00 mean............ 1.090424e+01 variance........ 3.766405e+03 var 10: best............ 2.243829e+01 mean............ 3.728984e+01 variance........ 6.138056e+03 var 11: best............ 1.000000e+00 mean............ 1.440537e+01 variance........ 8.257431e+03 var 12: best............ 1.000000e+00 mean............ 5.356514e+00 variance........ 1.021962e+03 var 13: best............ 1.000000e+00 mean............ 9.147269e+00 variance........ 3.869558e+03 var 14: best............ 1.000000e+00 mean............ 8.008198e+00 variance........ 1.913059e+03 var 15: best............ 1.000000e+00 mean............ 7.623697e+00 variance........ 2.878694e+03 var 16: best............ 1.000000e+00 mean............ 1.408870e+01 variance........ 6.057445e+03 var 17: best............ 1.000000e+00 mean............ 1.136344e+01 variance........ 4.782683e+03 var 18: best............ 1.000000e+00 mean............ 1.105693e+01 variance........ 4.472298e+03 var 19: best............ 4.899488e+02 mean............ 4.861776e+02 variance........ 2.773418e+03 var 20: best............ 7.232832e+01 mean............ 7.471611e+01 variance........ 1.661877e+03 var 21: best............ 1.000000e+00 mean............ 8.666880e+00 variance........ 3.249695e+03 var 22: best............ 9.399122e-01 mean............ 8.927968e+00 variance........ 3.691870e+03 var 23: best............ 1.000000e+00 mean............ 8.006661e+00 variance........ 2.207825e+03 var 24: best............ 1.000000e+00 mean............ 6.374561e+00 variance........ 1.716289e+03 var 25: best............ 1.000000e+00 mean............ 1.582722e+01 variance........ 8.541285e+03 var 26: best............ 1.000000e+00 mean............ 1.089503e+01 variance........ 4.100767e+03 var 27: best............ 9.803608e-01 mean............ 1.324855e+01 variance........ 5.390563e+03 'wait.generations' limit reached. No significant improvement in 25 generations. Solution Lexical Fitness Value: 2.003818e-02 2.123067e-02 2.357542e-02 2.562049e-02 2.661625e-02 2.733010e-02 2.911425e-02 3.456292e-02 3.905960e-02 4.245438e-02 4.510717e-02 4.547991e-02 4.746808e-02 5.035351e-02 5.750981e-02 7.911985e-02 1.034972e-01 1.090329e-01 1.619628e-01 1.823135e-01 1.914489e-01 2.143325e-01 2.153739e-01 2.328760e-01 3.500241e-01 3.735355e-01 3.865045e-01 3.865045e-01 3.865045e-01 3.865045e-01 6.208099e-01 6.208099e-01 6.208099e-01 6.208099e-01 6.208099e-01 6.208099e-01 6.208099e-01 6.208099e-01 6.208099e-01 6.208099e-01 6.208099e-01 6.208099e-01 6.208099e-01 6.208099e-01 6.208099e-01 8.055631e-01 8.515892e-01 8.602552e-01 8.602552e-01 8.602552e-01 8.602552e-01 9.009411e-01 9.884424e-01 9.885595e-01 Parameters at the Solution: X[ 1] : 1.000000e+00 X[ 2] : 1.000000e+00 X[ 3] : 1.000000e+00 X[ 4] : 1.000000e+00 X[ 5] : 9.986212e-01 X[ 6] : 8.937201e-01 X[ 7] : 9.737897e-01 X[ 8] : 1.000000e+00 X[ 9] : 1.000000e+00 X[10] : 2.243829e+01 X[11] : 1.000000e+00 X[12] : 1.000000e+00 X[13] : 1.000000e+00 X[14] : 1.000000e+00 X[15] : 1.000000e+00 X[16] : 1.000000e+00 X[17] : 1.000000e+00 X[18] : 1.000000e+00 X[19] : 4.899488e+02 X[20] : 7.232832e+01 X[21] : 1.000000e+00 X[22] : 9.399122e-01 X[23] : 1.000000e+00 X[24] : 1.000000e+00 X[25] : 1.000000e+00 X[26] : 1.000000e+00 X[27] : 9.803608e-01 Solution Found Generation 4 Number of Generations Run 30 Fri Dec 20 10:22:37 2019 Total run time : 0 hours 1 minutes and 54 seconds
mout = Match(Tr = Tr, X = X.all, M=1, Weight.matrix = genout)
mb <- MatchBalance(treat ~ state + pcgsdp + pfemale + plit + pwlit + prural, data=before.data, match.out=mout, nboots=500)
***** (V1) state ***** Before Matching After Matching mean treatment........ 10.273 10.273 mean control.......... 11.958 11 std mean diff......... -61.773 -26.653 mean raw eQQ diff..... 1.7273 1.0909 med raw eQQ diff..... 2 1 max raw eQQ diff..... 5 4 mean eCDF diff........ 0.20833 0.13636 med eCDF diff........ 0.22727 0.13636 max eCDF diff........ 0.37879 0.22727 var ratio (Tr/Co)..... 1.0356 1.4478 T-test p-value........ 0.020505 0.1035 KS Bootstrap p-value.. 0.006 0.404 KS Naive p-value...... 0.026361 0.62081 KS Statistic.......... 0.37879 0.22727 ***** (V2) pcgsdp ***** Before Matching After Matching mean treatment........ 1.3631 1.3631 mean control.......... 1.2199 1.4008 std mean diff......... 29.002 -7.6342 mean raw eQQ diff..... 0.17316 0.12067 med raw eQQ diff..... 0.13723 0.061652 max raw eQQ diff..... 0.48856 0.42141 mean eCDF diff........ 0.10181 0.075758 med eCDF diff........ 0.07197 0.090909 max eCDF diff........ 0.27652 0.18182 var ratio (Tr/Co)..... 0.7376 0.69065 T-test p-value........ 0.29083 0.35002 KS Bootstrap p-value.. 0.146 0.766 KS Naive p-value...... 0.16118 0.86026 KS Statistic.......... 0.27652 0.18182 ***** (V3) pfemale ***** Before Matching After Matching mean treatment........ 0.96387 0.96387 mean control.......... 0.94051 0.94543 std mean diff......... 54.736 43.213 mean raw eQQ diff..... 0.024367 0.018661 med raw eQQ diff..... 0.026087 0.011611 max raw eQQ diff..... 0.060867 0.063806 mean eCDF diff........ 0.14713 0.088154 med eCDF diff........ 0.14205 0.090909 max eCDF diff........ 0.36932 0.22727 var ratio (Tr/Co)..... 0.85977 0.76563 T-test p-value........ 0.04404 0.02733 KS Bootstrap p-value.. 0.018 0.544 KS Naive p-value...... 0.023517 0.62081 KS Statistic.......... 0.36932 0.22727 ***** (V4) plit ***** Before Matching After Matching mean treatment........ 0.53846 0.53846 mean control.......... 0.4768 0.50846 std mean diff......... 48.866 23.776 mean raw eQQ diff..... 0.062687 0.033448 med raw eQQ diff..... 0.05157 0.019613 max raw eQQ diff..... 0.24671 0.26313 mean eCDF diff........ 0.17045 0.10606 med eCDF diff........ 0.1714 0.090909 max eCDF diff........ 0.33333 0.27273 var ratio (Tr/Co)..... 1.0596 1.1781 T-test p-value........ 0.062707 0.02562 KS Bootstrap p-value.. 0.058 0.294 KS Naive p-value...... 0.05266 0.3865 KS Statistic.......... 0.33333 0.27273 ***** (V5) pwlit ***** Before Matching After Matching mean treatment........ 0.45226 0.45226 mean control.......... 0.3824 0.419 std mean diff......... 44.828 21.343 mean raw eQQ diff..... 0.071041 0.035093 med raw eQQ diff..... 0.056334 0.019099 max raw eQQ diff..... 0.31462 0.29961 mean eCDF diff........ 0.15341 0.096419 med eCDF diff........ 0.14773 0.090909 max eCDF diff........ 0.33333 0.22727 var ratio (Tr/Co)..... 1.0848 1.1639 T-test p-value........ 0.085679 0.020038 KS Bootstrap p-value.. 0.052 0.522 KS Naive p-value...... 0.05266 0.62081 KS Statistic.......... 0.33333 0.22727 ***** (V6) prural ***** Before Matching After Matching mean treatment........ 0.71686 0.71686 mean control.......... 0.74083 0.71671 std mean diff......... -32.806 0.20191 mean raw eQQ diff..... 0.024061 0.013619 med raw eQQ diff..... 0.020843 0.0063347 max raw eQQ diff..... 0.047551 0.050855 mean eCDF diff........ 0.1622 0.078512 med eCDF diff........ 0.15625 0.090909 max eCDF diff........ 0.37879 0.22727 var ratio (Tr/Co)..... 1.0261 0.9972 T-test p-value........ 0.20809 0.98856 KS Bootstrap p-value.. 0.022 0.556 KS Naive p-value...... 0.018529 0.62081 KS Statistic.......... 0.37879 0.22727 Before Matching Minimum p.value: 0.006 Variable Name(s): state Number(s): 1 After Matching Minimum p.value: 0.020038 Variable Name(s): pwlit Number(s): 5
mout = Match(Y=Y, Tr = Tr, X = X.all, M=1, Weight.matrix = genout)
summary(mout)
Estimate... 0.022826 AI SE...... 0.00863 T-stat..... 2.645 p.val...... 0.0081689 Original number of observations.............. 70 Original number of treated obs............... 22 Matched number of observations............... 22 Matched number of observations (unweighted). 22
conf.interval.95 <- function(mout){
up = mout$est + 1.96*mout$se
low = mout$est - 1.96*mout$se
if (is.null(mout$se)){
up = mout$est + 1.96*mout$se.standard
low = mout$est - 1.96*mout$se.standard
}
return (paste("[",low,",",up,"]"))
}
conf.interval.95(mout)
install.packages('Synth')
library(Synth)
Installing package into ‘/usr/local/lib/R/site-library’ (as ‘lib’ is unspecified) also installing the dependencies ‘numDeriv’, ‘kernlab’, ‘optimx’ ## ## Synth Package: Implements Synthetic Control Methods. ## See http://www.mit.edu/~jhainm/software.htm for additional information.
# Mahmud: the changed that I made
# data$state <- as.numeric(as.factor(data$stateid))
# data$stateuni <- as.character(data$stateuni)
# unit.names.variable = c("stateuni")
# unit.variable = "state",
# treatment happened in 2002 in ASSAM
data = data
data$state <- as.numeric(as.factor(data$stateid))
data$stateuni <- as.character(data$stateuni)
dataprep.out =
dataprep(
foo = data,
predictors = c("pcgsdp", "pfemale", "plit","pwlit","prural"),
predictors.op = "median", #match the median of the predictors
time.predictors.prior = 1985:2002, # data used to train the synthetic control unit
dependent = "pcr_womtot",
unit.variable = "state",
time.variable = "year",
#special.predictors = list(
# list("pcgsdp", seq(1985,2001,2),"mean"),
# list("pfemale", seq(1985,2001,2),"mean"),
# list("plit", seq(1985,2001,2),"mean"),
# list("pwlit", seq(1985,2001,2),"mean"),
# list("prural", seq(1985,2001,2),"mean")
#),
treatment.identifier = 2, #point at Assam,
controls.identifier = c(1, 3:17),
time.optimize.ssr = c(1985:2002), #count the outcome variables of Assam and synthetic control units and make it as small as possible
unit.names.variable = c("stateuni"),
time.plot = c(1985:2007)
)
synth.out = synth(dataprep.out) #create synthetic controls
#plot treatment vs synthetic control outcomes trend
path.plot(synth.res = synth.out, dataprep.res = dataprep.out,
Ylab = "Crime against women per 1000 women", Xlab = 'year', tr.intake = 2002,
Legend = c("Assam", "Synthetic Assam"), Legend.position = "bottomright")
# abline(v = 2001, lw=2)
X1, X0, Z1, Z0 all come directly from dataprep object. **************** searching for synthetic control unit **************** **************** **************** MSPE (LOSS V): 0.0003042721 solution.v: 0.2300167 0.3700114 0.393585 0.006386841 0 solution.w: 0.05121218 0.2659888 0.03791813 0.05109935 0.02624605 0.07985753 0.04132484 0.05403987 0.03250165 0.03311749 0.03143242 0.08711503 0.03540303 0.02356482 0.06408271 0.0850961
#gap or difference in treatment and synthetic control
gaps <- dataprep.out$Y1plot - (dataprep.out$Y0plot %*% synth.out$solution.w)
#pre built tables from synth objects
synth.tables <- synth.tab(dataprep.res = dataprep.out, synth.res = synth.out)
#comparing pre-treatment predictor values for the treated unit, the synthetic control unit , and all the units in the sample
synth.tables$tab.pred[1:5,]
#View control unit weights
synth.tables$tab.w
Treated | Synthetic | Sample Mean | |
---|---|---|---|
pcgsdp | 1.324 | 1.324 | 1.495 |
pfemale | 0.926 | 0.926 | 0.936 |
plit | 0.453 | 0.454 | 0.490 |
pwlit | 0.374 | 0.352 | 0.391 |
prural | 0.884 | 0.771 | 0.745 |
w.weights | unit.names | unit.numbers | |
---|---|---|---|
<dbl> | <fct> | <dbl> | |
1 | 0.051 | ANDHRA PRADESH | 1 |
3 | 0.266 | BIHAR | 3 |
4 | 0.038 | GUJARAT | 4 |
5 | 0.051 | HARYANA | 5 |
6 | 0.026 | HIMACHAL PRADESH | 6 |
7 | 0.080 | JAMMU & KASHMIR | 7 |
8 | 0.041 | KARNATAKA | 8 |
9 | 0.054 | KERALA | 9 |
10 | 0.033 | MADHYA PRADESH | 10 |
11 | 0.033 | MAHARASHTRA | 11 |
12 | 0.031 | ORISSA | 12 |
13 | 0.087 | PUNJAB | 13 |
14 | 0.035 | RAJASTHAN | 14 |
15 | 0.024 | TAMIL NADU | 15 |
16 | 0.064 | UTTAR PRADESH | 16 |
17 | 0.085 | WEST BENGAL | 17 |
gaps.plot(synth.res = synth.out,
dataprep.res = dataprep.out,
Ylab = "Gap in crime against women (per 1000 women)",
Xlab = "year",
Ylim = c(-.5,.5),
Main = NA,
tr.intake = 2002
)
### Placebo test in space
store <- matrix(NA, length(1985:2007), 17)
colnames(store) <- unique(data$stateuni)
for (k in 1:17){
# print(k)
dataprep.out = dataprep(
foo = data,
predictors = c("pcgsdp", "pfemale", "plit","pwlit","prural"),
predictors.op = "median",
time.predictors.prior = 1985:2002,
dependent = "pcr_womtot",
unit.variable = "state",
time.variable = "year",
#special.predictors = list(
# list("pcgsdp", seq(1985,2001,2),"mean"),
# list("pfemale", seq(1985,2001,2),"mean"),
# list("plit", seq(1985,2001,2),"mean"),
# list("pwlit", seq(1985,2001,2),"mean"),
# list("prural", seq(1985,2001,2),"mean")
#),
treatment.identifier = k,
controls.identifier = c(1:17)[-k],
time.optimize.ssr = c(1985:2002),
unit.names.variable = c("stateuni"),
time.plot = c(1985:2007)
)
synth.out <- synth(
data.prep.obj = dataprep.out,
method = "BFGS"
)
# store gaps
print(k)
store[, k] <- dataprep.out$Y1plot - (dataprep.out$Y0plot %*% synth.out$solution.w)
}
X1, X0, Z1, Z0 all come directly from dataprep object. **************** searching for synthetic control unit **************** **************** **************** MSPE (LOSS V): 0.002281638 solution.v: 0.1687452 0.005238963 0.5157038 0.1318055 0.1785065 solution.w: 9.8121e-06 6e-10 0.000225708 6.73029e-05 7.4397e-06 1.97751e-05 0.25026 8.444e-07 3.4819e-06 0.0007777076 8.33e-06 0.05677168 0.6566102 0.03520986 2.866e-06 2.49876e-05 [1] 1 X1, X0, Z1, Z0 all come directly from dataprep object. **************** searching for synthetic control unit **************** **************** **************** MSPE (LOSS V): 0.0003042721 solution.v: 0.2300167 0.3700114 0.393585 0.006386841 0 solution.w: 0.05121218 0.2659888 0.03791813 0.05109935 0.02624605 0.07985753 0.04132484 0.05403987 0.03250165 0.03311749 0.03143242 0.08711503 0.03540303 0.02356482 0.06408271 0.0850961 [1] 2 X1, X0, Z1, Z0 all come directly from dataprep object. **************** searching for synthetic control unit **************** **************** **************** MSPE (LOSS V): 0.002169068 solution.v: 0.05528547 0.002649626 0.3141791 0.4514611 0.1764247 solution.w: 4.4e-08 4.676e-07 1.88e-08 4.73e-08 1.085e-07 6.97e-08 2.33e-08 6e-10 4.61e-08 1.34e-08 3.935e-07 2.6e-08 5e-09 1.46e-08 0.9999987 2.93e-08 [1] 3 X1, X0, Z1, Z0 all come directly from dataprep object. **************** searching for synthetic control unit **************** **************** **************** MSPE (LOSS V): 0.007221159 solution.v: 0.001014589 0.02624114 0.373239 0.5995053 4e-10 solution.w: 0.01552747 0.01173782 0.01670935 0.1332162 0.03664353 0.01442985 0.02045348 0.0321637 0.02280408 0.5214867 0.09646981 6.13e-06 0.03046195 0.01449249 0.01827179 0.01512569 [1] 4 X1, X0, Z1, Z0 all come directly from dataprep object. **************** searching for synthetic control unit **************** **************** **************** MSPE (LOSS V): 0.001432645 solution.v: 0.0005694872 0.000222546 0.01699267 0.501475 0.4807403 solution.w: 0.002629527 0.001293504 4.3041e-06 0.03008768 0.1329729 0.009914486 0.005721472 0.003283897 0.002988922 0.1314882 0.002017898 0.2484829 0.4073222 0.01258264 0.002090299 0.007119257 [1] 5 X1, X0, Z1, Z0 all come directly from dataprep object. **************** searching for synthetic control unit **************** **************** **************** MSPE (LOSS V): 0.0002603912 solution.v: 5.04e-08 0.6583224 0.01930585 0.00854398 0.3138277 solution.w: 1.458e-07 0.04101574 2.33268e-05 1.493e-06 9.8513e-06 7.7317e-06 6.62e-07 1.4163e-06 2.8369e-06 1.0938e-06 0.9589097 5.2126e-06 4.813e-06 2.549e-07 1.22676e-05 3.4282e-06 [1] 6 X1, X0, Z1, Z0 all come directly from dataprep object. **************** searching for synthetic control unit **************** **************** **************** MSPE (LOSS V): 0.0004331239 solution.v: 0.2093455 0.173046 0.06255387 0.5531136 0.001941016 solution.w: 0.01356235 0.01287697 0.1554817 0.01143578 0.3230693 0.006142044 0.009602002 0.0003028197 0.01317165 0.01018623 0.00748051 0.0575991 0.0614455 0.006800765 0.2995718 0.01127146 [1] 7 X1, X0, Z1, Z0 all come directly from dataprep object. **************** searching for synthetic control unit **************** **************** **************** MSPE (LOSS V): 0.003008147 solution.v: 0.002636462 0.1844556 0.0846512 0.7276558 0.0006009241 solution.w: 0.2501449 0.02104671 0.03251453 0.03180958 0.01911742 0.006733485 0.02609233 0.08218705 0.04723486 0.02934864 0.1136328 0.01948923 0.02647704 0.2268934 0.03580363 0.03147437 [1] 8 X1, X0, Z1, Z0 all come directly from dataprep object. **************** searching for synthetic control unit **************** **************** **************** MSPE (LOSS V): 0.02239653 solution.v: 0.4783424 0.01448686 0.000907648 0.003371942 0.5028911 solution.w: 1.81703e-05 0.0003411913 0.0002428478 0.0003823882 4.93518e-05 0.2995341 0.0002893402 0.0003102319 0.0003468769 0.0003340234 0.1273712 6.993e-07 0.0003315191 0.56958 0.0003258006 0.0005421554 [1] 9 X1, X0, Z1, Z0 all come directly from dataprep object. **************** searching for synthetic control unit **************** **************** **************** MSPE (LOSS V): 0.007895602 solution.v: 1.84e-08 0.04628755 0.3321598 0.5539908 0.06756188 solution.w: 0.2420701 0.009648989 0.05789765 0.01526821 0.01054857 0.008282109 0.01186873 0.02061672 0.0003819452 0.01317507 0.04518543 0.008196958 0.516431 0.02038274 0.008411611 0.01163417 [1] 10 X1, X0, Z1, Z0 all come directly from dataprep object. **************** searching for synthetic control unit **************** **************** **************** MSPE (LOSS V): 0.005609017 solution.v: 0.000476318 0.04355681 0.3703635 0.5851379 0.0004654575 solution.w: 0.002510014 0.002378307 0.002155549 0.0929607 0.4869354 0.006193566 0.003291434 0.005042277 0.2190279 0.003775956 0.004064385 0.0006443264 0.004615324 0.1584044 0.003214612 0.004785856 [1] 11 X1, X0, Z1, Z0 all come directly from dataprep object. **************** searching for synthetic control unit **************** **************** **************** MSPE (LOSS V): 0.0001150248 solution.v: 8.0019e-06 0.004853255 0.3866199 0.5960619 0.01245695 solution.w: 0.03848954 1.54542e-05 0.3192508 4.32465e-05 1.88442e-05 0.4014789 3.39623e-05 5.00811e-05 4.9876e-06 0.0001176007 3.61404e-05 1.74037e-05 0.2403275 5.25999e-05 3.01957e-05 3.26823e-05 [1] 12 X1, X0, Z1, Z0 all come directly from dataprep object. **************** searching for synthetic control unit **************** **************** **************** MSPE (LOSS V): 0.01331187 solution.v: 0.1341399 0.0001096425 0.01852474 0.8434723 0.003753424 solution.w: 3.92196e-05 3.48522e-05 2.54411e-05 5.3932e-05 0.780545 3.40202e-05 3.8007e-05 4.13796e-05 0.2189391 3.01944e-05 2.51083e-05 2.61336e-05 3.33229e-05 6.83953e-05 2.68352e-05 3.90463e-05 [1] 13 X1, X0, Z1, Z0 all come directly from dataprep object. **************** searching for synthetic control unit **************** **************** **************** MSPE (LOSS V): 0.004595879 solution.v: 0.1367132 0.2925145 0.0002309036 0.0172288 0.5533126 solution.w: 0.1260546 0.005090514 0.08072839 0.001978938 0.01616241 0.003114587 0.4595572 0.002029671 0.0004701508 0.2110364 0.001848925 0.004299737 0.006190218 0.001746962 0.0759201 0.003771172 [1] 14 X1, X0, Z1, Z0 all come directly from dataprep object. **************** searching for synthetic control unit **************** **************** **************** MSPE (LOSS V): 0.04121765 solution.v: 4.59581e-05 0.1556958 0.2850776 0.55344 0.005740582 solution.w: 1.53868e-05 2.90915e-05 3.43366e-05 0.000382392 4.71453e-05 7.36502e-05 4.81695e-05 0.6958201 0.206577 0.0001623462 0.09645799 3.739e-07 1.99505e-05 0.0002151348 5.33721e-05 6.36479e-05 [1] 15 X1, X0, Z1, Z0 all come directly from dataprep object. **************** searching for synthetic control unit **************** **************** **************** MSPE (LOSS V): 0.00035292 solution.v: 0.006262884 0.03988411 0.3674422 0.5744507 0.01196005 solution.w: 1.93868e-05 2.24504e-05 0.6630612 3.28152e-05 0.17564 1.05485e-05 0.0548646 2.40473e-05 3.735e-07 4.98448e-05 2.69648e-05 2.06527e-05 3.85486e-05 0.1061362 1.58587e-05 3.65156e-05 [1] 16 X1, X0, Z1, Z0 all come directly from dataprep object. **************** searching for synthetic control unit **************** **************** **************** MSPE (LOSS V): 0.0009140678 solution.v: 0.06787093 0.4585871 0.1483528 0.3168044 0.008384872 solution.w: 3.33319e-05 3.69084e-05 4.76055e-05 0.0002086855 3.803e-06 2.78828e-05 8.98553e-05 7.87283e-05 0.2150532 7.0616e-05 0.06857928 3.81444e-05 0.1962268 5.353e-05 7.80092e-05 0.5193736 [1] 17
# now the figure
rownames(store) <- 1985:2007
# set bounds in gaps data:
gap.start <- 1
gap.end <- nrow(store)
years <- 1985:2007
gap.end.pre <- which(rownames(store)=='2002')
# Plot
plot(c(1,2),c(1,2),
ylim=c(-0.5,0.5),xlab="year",
xlim=c(1985,2007),ylab="gap in crime against women per 1000 women",
type="l",lwd=2,col="black",
xaxs="i",yaxs="i")
# Add lines for control states
for (i in 1:ncol(store)) { lines(years,store[gap.start:gap.end,i],col="gray") }
## Add ASSAM Line
lines(years,store[gap.start:gap.end,which(colnames(store)=="ASSAM")],lwd=2,col="black")
# Add grid
abline(v=2002,lty="dotted",lwd=2)
abline(h=0,lty="dashed",lwd=2)
legend("bottomright",legend=c("ASSAM","control regions"),
lty=c(1,1),col=c("black","gray"),lwd=c(2,1),cex=.8)
# dot chart
mse <- function(x){mean(x^2)}
preloss <- apply(store[gap.start:gap.end.pre,],2,mse)
postloss <- apply(store[(gap.end.pre+1):gap.end,],2,mse)
#pdf("2ratio_post_to_preperiod_rmse2a.pdf")
dotchart(sort(postloss/preloss),
xlab="Post-Period MSE / Pre-Period MSE",
pch=19)
# Taking out the states where pre treatment MSE is greater than (Assam pre-period MSE * 20)
store.2 = store[, preloss < 20*preloss['ASSAM']]
# Plot
plot(c(1,2),c(1,2),
ylim=c(-0.5,0.5),xlab="year",
xlim=c(1985,2007),ylab="gap in crime against women per 1000 women",
type="l",lwd=2,col="black",
xaxs="i",yaxs="i")
# Add lines for control states
for (i in 1:ncol(store.2)) { lines(years,store.2[gap.start:gap.end,i],col="gray") }
## Add ASSAM Line
lines(years,store.2[gap.start:gap.end,which(colnames(store.2)=="ASSAM")],lwd=2,col="black")
# Add grid
abline(v=2002,lty="dotted",lwd=2)
abline(h=0,lty="dashed",lwd=2)
legend("bottomright",legend=c("ASSAM","control regions"),
lty=c(1,1),col=c("black","gray"),lwd=c(2,1),cex=.8)
# dot chart
mse <- function(x){mean(x^2)}
preloss.2 <- apply(store.2[gap.start:gap.end.pre,],2,mse)
postloss.2 <- apply(store.2[(gap.end.pre+1):gap.end,],2,mse)
names(preloss.2) = colnames(store.2)
#pdf("2ratio_post_to_preperiod_rmse2a.pdf")
dotchart(sort(postloss.2/preloss.2),
xlab="Post-Period MSE / Pre-Period MSE",
pch=19)
# Taking out the states where pre treatment MSE is greater than (Assam pre-period MSE * 5)
store.3 = store[, preloss < 5*preloss['ASSAM']]
# Plot
plot(c(1,2),c(1,2),
ylim=c(-0.5,0.5),xlab="year",
xlim=c(1985,2007),ylab="gap in crime against women per 1000 women",
type="l",lwd=2,col="black",
xaxs="i",yaxs="i")
# Add lines for control states
for (i in 1:ncol(store.3)) { lines(years,store.3[gap.start:gap.end,i],col="gray") }
## Add ASSAM Line
lines(years,store.3[gap.start:gap.end,which(colnames(store.3)=="ASSAM")],lwd=2,col="black")
# Add grid
abline(v=2002,lty="dotted",lwd=2)
abline(h=0,lty="dashed",lwd=2)
legend("bottomright",legend=c("ASSAM","control regions"),
lty=c(1,1),col=c("black","gray"),lwd=c(2,1),cex=.8)
# dot chart
mse <- function(x){mean(x^2)}
preloss.3 <- apply(store.3[gap.start:gap.end.pre,],2,mse)
postloss.3 <- apply(store.3[(gap.end.pre+1):gap.end,],2,mse)
names(preloss.3) = colnames(store.3)
#pdf("2ratio_post_to_preperiod_rmse2a.pdf")
dotchart(sort(postloss.3/preloss.3),
xlab="Post-Period MSE / Pre-Period MSE",
pch=19)
## Placebo effect in time at 'fake' treatment = 1998
dataprep.out = dataprep(
foo = data,
predictors = c("pcgsdp", "pfemale", "plit","pwlit","prural"),
predictors.op = "median",
time.predictors.prior = 1985:1998,
dependent = "pcr_womtot",
unit.variable = "state",
time.variable = "year",
#special.predictors = list(
# list("pcgsdp", seq(1985,k,2),"mean"),
# list("pfemale", seq(1985,k,2),"mean"),
# list("plit", seq(1985,k,2),"mean"),
# list("pwlit", seq(1985,k,2),"mean"),
# list("prural", seq(1985,k,2),"mean")
#),
treatment.identifier = 2,
controls.identifier = c(1, 3:17),
time.optimize.ssr = c(1985:1998),
unit.names.variable = c("stateuni"),
time.plot = c(1985:2007)
)
synth.out <- synth(
data.prep.obj = dataprep.out,
method = "BFGS"
)
#plot treatment vs synthetic control outcomes trend
path.plot(synth.res = synth.out, dataprep.res = dataprep.out,
Ylab = "Crime against women per 1000 women", Xlab = 'year', tr.intake = 1998,
Legend = c("Assam", "Synthetic Assam"), Legend.position = "bottomright")
X1, X0, Z1, Z0 all come directly from dataprep object. **************** searching for synthetic control unit **************** **************** **************** MSPE (LOSS V): 0.0002812801 solution.v: 0.010772 8.38e-07 0.3485767 0.1670458 0.4736047 solution.w: 0.003727256 0.4663653 0.001293254 0.001872675 0.5064547 0.003208589 0.001643212 0.0007814532 0.002067115 0.001102013 0.0008822391 0.003425231 0.002217716 0.001194164 0.00205559 0.001709502
#gap or difference in treatment and synthetic control
gaps <- dataprep.out$Y1plot - (dataprep.out$Y0plot %*% synth.out$solution.w)
#pre built tables from synth objects
synth.tables <- synth.tab(dataprep.res = dataprep.out, synth.res = synth.out)
#comparing pre-treatment predictor values for the treated unit, the synthetic control unit , and all the units in the sample
synth.tables$tab.pred[1:5,]
#View control unit weights
synth.tables$tab.w
gaps.plot(synth.res = synth.out,
dataprep.res = dataprep.out,
Ylab = "Gap in crime against women (per 1000 women)",
Xlab = "year",
Ylim = c(-.5,.5),
Main = NA,
tr.intake = 1998
)
Treated | Synthetic | Sample Mean | |
---|---|---|---|
pcgsdp | 1.295 | 1.186 | 1.372 |
pfemale | 0.923 | 0.947 | 0.936 |
plit | 0.430 | 0.438 | 0.469 |
pwlit | 0.349 | 0.331 | 0.367 |
prural | 0.888 | 0.887 | 0.750 |
w.weights | unit.names | unit.numbers | |
---|---|---|---|
<dbl> | <fct> | <dbl> | |
1 | 0.004 | ANDHRA PRADESH | 1 |
3 | 0.466 | BIHAR | 3 |
4 | 0.001 | GUJARAT | 4 |
5 | 0.002 | HARYANA | 5 |
6 | 0.506 | HIMACHAL PRADESH | 6 |
7 | 0.003 | JAMMU & KASHMIR | 7 |
8 | 0.002 | KARNATAKA | 8 |
9 | 0.001 | KERALA | 9 |
10 | 0.002 | MADHYA PRADESH | 10 |
11 | 0.001 | MAHARASHTRA | 11 |
12 | 0.001 | ORISSA | 12 |
13 | 0.003 | PUNJAB | 13 |
14 | 0.002 | RAJASTHAN | 14 |
15 | 0.001 | TAMIL NADU | 15 |
16 | 0.002 | UTTAR PRADESH | 16 |
17 | 0.002 | WEST BENGAL | 17 |
## Placebo effect in time at 'fake' treatment = 1992
dataprep.out = dataprep(
foo = data,
predictors = c("pcgsdp", "pfemale", "plit","pwlit","prural"),
predictors.op = "median",
time.predictors.prior = 1985:1992,
dependent = "pcr_womtot",
unit.variable = "state",
time.variable = "year",
#special.predictors = list(
# list("pcgsdp", seq(1985,k,2),"mean"),
# list("pfemale", seq(1985,k,2),"mean"),
# list("plit", seq(1985,k,2),"mean"),
# list("pwlit", seq(1985,k,2),"mean"),
# list("prural", seq(1985,k,2),"mean")
#),
treatment.identifier = 2,
controls.identifier = c(1, 3:17),
time.optimize.ssr = c(1985:1992),
unit.names.variable = c("stateuni"),
time.plot = c(1985:2007)
)
synth.out <- synth(
data.prep.obj = dataprep.out,
method = "BFGS"
)
#plot treatment vs synthetic control outcomes trend
path.plot(synth.res = synth.out, dataprep.res = dataprep.out,
Ylab = "Crime against women per 1000 women", Xlab = 'year', tr.intake = 1992,
Legend = c("Assam", "Synthetic Assam"), Legend.position = "bottomright")
X1, X0, Z1, Z0 all come directly from dataprep object. **************** searching for synthetic control unit **************** **************** **************** MSPE (LOSS V): 0.0003258889 solution.v: 0.0003749968 0.685861 0.2021482 0.0009821526 0.1106336 solution.w: 0.0001345309 6.91729e-05 0.0001929298 4.60742e-05 0.4463343 0.001208715 0.0001402082 3.05958e-05 0.0003702303 0.0001505258 0.0002355566 0.0009355249 0.0005685963 7.86877e-05 0.5490402 0.0004640967
#gap or difference in treatment and synthetic control
gaps <- dataprep.out$Y1plot - (dataprep.out$Y0plot %*% synth.out$solution.w)
#pre built tables from synth objects
synth.tables <- synth.tab(dataprep.res = dataprep.out, synth.res = synth.out)
#comparing pre-treatment predictor values for the treated unit, the synthetic control unit , and all the units in the sample
synth.tables$tab.pred[1:5,]
#View control unit weights
synth.tables$tab.w
gaps.plot(synth.res = synth.out,
dataprep.res = dataprep.out,
Ylab = "Gap in crime against women (per 1000 women)",
Xlab = "year",
Ylim = c(-.5,.5),
Main = NA,
tr.intake = 1992
)
Treated | Synthetic | Sample Mean | |
---|---|---|---|
pcgsdp | 1.221 | 0.929 | 1.205 |
pfemale | 0.920 | 0.929 | 0.935 |
plit | 0.413 | 0.393 | 0.438 |
pwlit | 0.330 | 0.276 | 0.333 |
prural | 0.891 | 0.867 | 0.757 |
w.weights | unit.names | unit.numbers | |
---|---|---|---|
<dbl> | <fct> | <dbl> | |
1 | 0.000 | ANDHRA PRADESH | 1 |
3 | 0.256 | BIHAR | 3 |
4 | 0.000 | GUJARAT | 4 |
5 | 0.001 | HARYANA | 5 |
6 | 0.413 | HIMACHAL PRADESH | 6 |
7 | 0.000 | JAMMU & KASHMIR | 7 |
8 | 0.000 | KARNATAKA | 8 |
9 | 0.000 | KERALA | 9 |
10 | 0.000 | MADHYA PRADESH | 10 |
11 | 0.000 | MAHARASHTRA | 11 |
12 | 0.000 | ORISSA | 12 |
13 | 0.000 | PUNJAB | 13 |
14 | 0.000 | RAJASTHAN | 14 |
15 | 0.000 | TAMIL NADU | 15 |
16 | 0.330 | UTTAR PRADESH | 16 |
17 | 0.000 | WEST BENGAL | 17 |
# placebo in time
store <- matrix(NA, length(1985:2007), length(1988:2005))
colnames(store) <- 1988:2005
for (k in 1988:2005){
# print(k)
dataprep.out = dataprep(
foo = data,
predictors = c("pcgsdp", "pfemale", "plit","pwlit","prural"),
predictors.op = "median",
time.predictors.prior = 1985:k,
dependent = "pcr_womtot",
unit.variable = "state",
time.variable = "year",
#special.predictors = list(
# list("pcgsdp", seq(1985,k,2),"mean"),
# list("pfemale", seq(1985,k,2),"mean"),
# list("plit", seq(1985,k,2),"mean"),
# list("pwlit", seq(1985,k,2),"mean"),
# list("prural", seq(1985,k,2),"mean")
#),
treatment.identifier = 2,
controls.identifier = c(1, 3:17),
time.optimize.ssr = c(1985:k),
unit.names.variable = c("stateuni"),
time.plot = c(1985:2007)
)
synth.out <- synth(
data.prep.obj = dataprep.out,
method = "BFGS"
)
# store gaps
print(k)
store[, k-1987] <- dataprep.out$Y1plot - (dataprep.out$Y0plot %*% synth.out$solution.w)
}
X1, X0, Z1, Z0 all come directly from dataprep object. **************** searching for synthetic control unit **************** **************** **************** MSPE (LOSS V): 0.0002899322 solution.v: 0.008315458 0.7757674 0.00517139 0.02445318 0.1862926 solution.w: 8.9968e-06 9.04408e-05 9.2568e-06 2.46689e-05 0.4348233 0.0001047573 7.1101e-06 9.3e-07 2.69642e-05 5.3939e-06 1.81288e-05 6.70461e-05 4.68922e-05 1.7175e-06 0.5647357 2.86238e-05 [1] 1988 X1, X0, Z1, Z0 all come directly from dataprep object. **************** searching for synthetic control unit **************** **************** **************** MSPE (LOSS V): 0.00041043 solution.v: 0.008291328 0.1016437 0.3140602 0.431337 0.1446678 solution.w: 0.0002341233 7.1999e-06 0.0002794289 0.02144436 0.5684861 0.002483961 0.0002290286 2.959e-07 0.0003719073 0.0002405535 0.0001854 0.004349875 0.0004715499 0.0001612319 0.4004269 0.0006280867 [1] 1989 X1, X0, Z1, Z0 all come directly from dataprep object. **************** searching for synthetic control unit **************** **************** **************** MSPE (LOSS V): 0.0003837452 solution.v: 3.8e-09 0.08904923 0.2935551 0.4680512 0.1493445 solution.w: 0.0002626256 1.08649e-05 0.0002999273 0.000744354 0.5794864 0.001736024 0.0002604309 3.618e-07 0.000426081 0.0002572149 0.0002295586 0.002434241 0.0004702397 0.0001821062 0.4125529 0.0006466752 [1] 1990 X1, X0, Z1, Z0 all come directly from dataprep object. **************** searching for synthetic control unit **************** **************** **************** MSPE (LOSS V): 0.0003738556 solution.v: 1.016e-07 0.06726694 0.2084276 0.607556 0.1167494 solution.w: 0.0001940938 2.9378e-06 0.0002111334 0.001470423 0.5918618 0.002069425 0.0001849497 2.035e-07 0.00030333 0.0001857113 0.0001972995 0.005083211 0.0003432384 0.0001318631 0.39726 0.0005004005 [1] 1991 X1, X0, Z1, Z0 all come directly from dataprep object. **************** searching for synthetic control unit **************** **************** **************** MSPE (LOSS V): 0.0003258889 solution.v: 0.0003749968 0.685861 0.2021482 0.0009821526 0.1106336 solution.w: 0.0001345309 6.91729e-05 0.0001929298 4.60742e-05 0.4463343 0.001208715 0.0001402082 3.05958e-05 0.0003702303 0.0001505258 0.0002355566 0.0009355249 0.0005685963 7.86877e-05 0.5490402 0.0004640967 [1] 1992 X1, X0, Z1, Z0 all come directly from dataprep object. **************** searching for synthetic control unit **************** **************** **************** MSPE (LOSS V): 0.0003950793 solution.v: 0.1759153 0.3665366 0.08198014 0.2937392 0.08182876 solution.w: 0.0003339026 2.1884e-05 0.0004271439 0.1350755 0.4853257 0.002622801 0.0003327708 7.64891e-05 0.0007397223 0.0003642919 0.0005145738 0.002877734 0.001135755 0.0002141811 0.3691134 0.0008241228 [1] 1993 X1, X0, Z1, Z0 all come directly from dataprep object. **************** searching for synthetic control unit **************** **************** **************** MSPE (LOSS V): 0.0003728728 solution.v: 0.1738212 0.03559882 0.01075507 0.7494674 0.03035748 solution.w: 0.0004857804 0.02036867 0.000505495 0.08348635 0.5485726 0.002525495 0.0004481411 4.67e-08 0.0008482752 0.0004517504 0.0007102582 0.00216078 0.001153544 0.0003166184 0.3370821 0.0008841442 [1] 1994 X1, X0, Z1, Z0 all come directly from dataprep object. **************** searching for synthetic control unit **************** **************** **************** MSPE (LOSS V): 0.0002999257 solution.v: 0.00316244 0 0.3126603 0.1395527 0.5446245 solution.w: 0.003561086 0.4469687 0.001274596 0.001647072 0.5259052 0.003031999 0.00168661 0.000963425 0.002235638 0.001086058 0.001364488 0.002933243 0.002087784 0.001213422 0.002242865 0.001797816 [1] 1995 X1, X0, Z1, Z0 all come directly from dataprep object. **************** searching for synthetic control unit **************** **************** **************** MSPE (LOSS V): 0.000336694 solution.v: 0.02285461 0.3559173 0.3248594 9e-09 0.2963687 solution.w: 0.0002387196 0.4670514 0.0003298012 0.1596975 0.3653947 0.001738519 0.0002407292 6.05538e-05 0.0007697917 0.0001989369 0.0001186309 0.001164846 0.001152709 7.74254e-05 0.0008769557 0.0008888028 [1] 1996 X1, X0, Z1, Z0 all come directly from dataprep object. **************** searching for synthetic control unit **************** **************** **************** MSPE (LOSS V): 0.0003069527 solution.v: 0.0002402378 0.0001342664 0.302542 0.5512747 0.1458088 solution.w: 0.002917394 0.4674924 0.0008981595 0.0007116137 0.4951877 0.001739093 0.001284892 0.02324377 0.001146293 0.0008037302 0.0005341193 3.6859e-06 0.0007352927 0.0008911817 0.001042581 0.001368151 [1] 1997 X1, X0, Z1, Z0 all come directly from dataprep object. **************** searching for synthetic control unit **************** **************** **************** MSPE (LOSS V): 0.0002812801 solution.v: 0.010772 8.38e-07 0.3485767 0.1670458 0.4736047 solution.w: 0.003727256 0.4663653 0.001293254 0.001872675 0.5064547 0.003208589 0.001643212 0.0007814532 0.002067115 0.001102013 0.0008822391 0.003425231 0.002217716 0.001194164 0.00205559 0.001709502 [1] 1998 X1, X0, Z1, Z0 all come directly from dataprep object. **************** searching for synthetic control unit **************** **************** **************** MSPE (LOSS V): 0.0002743967 solution.v: 0.1292817 1.04686e-05 0.3633222 0.01100598 0.4963797 solution.w: 0.001888062 0.4641176 0.0008568575 0.03010158 0.4930762 0.00228353 0.00089461 0.000191796 0.001377683 0.0007349765 0.0001655297 0.001382749 4.5179e-06 0.0007240409 0.00135852 0.0008416732 [1] 1999 X1, X0, Z1, Z0 all come directly from dataprep object. **************** searching for synthetic control unit **************** **************** **************** MSPE (LOSS V): 0.000280745 solution.v: 0.3333932 0.07193499 0.2998779 0.07097966 0.2238142 solution.w: 0.0003106536 0.4464229 0.000464168 0.09345819 0.4466943 0.002024241 0.0003725857 0.0001441128 0.0006644149 0.0003773807 0.0001568419 0.001757706 0.0005821207 0.0002397721 0.005462189 0.0008684482 [1] 2000 X1, X0, Z1, Z0 all come directly from dataprep object. **************** searching for synthetic control unit **************** **************** **************** MSPE (LOSS V): 0.0002522649 solution.v: 0.2841811 0.390198 0.3072904 0.01633752 0.001992897 solution.w: 0.006691906 0.2604135 0.01130387 0.0521979 0.3183894 0.04419417 0.007668815 3.47948e-05 0.009079267 0.01034078 7.09174e-05 0.0572272 0.01171948 0.005404259 0.1809671 0.02429663 [1] 2001 X1, X0, Z1, Z0 all come directly from dataprep object. **************** searching for synthetic control unit **************** **************** **************** MSPE (LOSS V): 0.0003042721 solution.v: 0.2300167 0.3700114 0.393585 0.006386841 0 solution.w: 0.05121218 0.2659888 0.03791813 0.05109935 0.02624605 0.07985753 0.04132484 0.05403987 0.03250165 0.03311749 0.03143242 0.08711503 0.03540303 0.02356482 0.06408271 0.0850961 [1] 2002 X1, X0, Z1, Z0 all come directly from dataprep object. **************** searching for synthetic control unit **************** **************** **************** MSPE (LOSS V): 0.0007764939 solution.v: 0.001419114 0.5382115 0.02510224 0.3728741 0.06239307 solution.w: 1.1132e-05 0.3149149 2.24333e-05 0.2525168 0.4317323 0.0001018502 1.35182e-05 2.3663e-06 2.82547e-05 1.95779e-05 1.40228e-05 0.0001485664 3.13586e-05 7.8819e-06 0.000390189 4.47872e-05 [1] 2003 X1, X0, Z1, Z0 all come directly from dataprep object. **************** searching for synthetic control unit **************** **************** **************** MSPE (LOSS V): 0.001120572 solution.v: 0.00266653 0.3546898 0.3480664 0.1969765 0.09760068 solution.w: 1.39574e-05 0.4003205 2.67686e-05 0.1917783 0.4061733 0.0001950806 1.72232e-05 4.8192e-06 3.24109e-05 2.21586e-05 3.1548e-06 0.0009970029 2.88173e-05 8.7826e-06 0.0003086974 6.89955e-05 [1] 2004 X1, X0, Z1, Z0 all come directly from dataprep object. **************** searching for synthetic control unit **************** **************** **************** MSPE (LOSS V): 0.001292329 solution.v: 0.1126964 0.1979929 0.005323103 0.6839873 2.981e-07 solution.w: 0.02035471 0.06228188 0.02965433 0.03795651 0.01986484 0.04828888 0.02556578 0.1371371 0.03739769 0.02801424 0.02561473 0.04820158 0.02952595 0.01818593 0.3690411 0.06291474 [1] 2005
# now the figure
rownames(store) <- 1985:2007
# set bounds in gaps data:
gap.start <- 1
gap.end <- nrow(store)
years <- 1985:2007
# gap.end.pre <- which(rownames(store)==)
# Plot
plot(c(1,2),c(1,2),
ylim=c(-0.3,0.3),xlab="year",
xlim=c(1985,2007),ylab="gap in crime against women per 1000 women",
type="l",lwd=2,col="black",
xaxs="i",yaxs="i")
# Add lines for control years
for (i in 1:ncol(store)) { lines(years,store[gap.start:gap.end,i],col="gray") }
## Add ASSAM Line at 2002 as a treatment year
lines(years,store[gap.start:gap.end,which(colnames(store)==2002)],lwd=2,col="black")
# Add grid
abline(v=2002,lty="dotted",lwd=2)
abline(h=0,lty="dashed",lwd=2)
legend("bottomright",legend=c("2002 as Treatment","Control Years (1988:2005)"),
lty=c(1,1),col=c("black","gray"),lwd=c(2,1),cex=.8)
# dot chart
mse <- function(x){mean(x^2)}
preloss.time = rep(NA,18)
postloss.time = rep(NA,18)
names(preloss.time) = as.character(1988:2005)
names(postloss.time) = as.character(1988:2005)
for (i in 1:ncol(store)){
treat.year = as.character(i+1987)
gap.end.pre <- which(rownames(store)==treat.year)
preloss.time[i] <- mse(store[gap.start:gap.end.pre,2])
postloss.time[i] <- mse(store[(gap.end.pre+1):gap.end,2])
}
#pdf("2ratio_post_to_preperiod_rmse2a.pdf")
dotchart(sort(postloss.time/preloss.time),
xlab= "Post-Period MSE / Pre-Period MSE",
pch=19)
(postloss.time/preloss.time)[12]