Residual plot¶

In [1]:

%useLatestDescriptors
%use dataframe
%use lets-plot

In [2]:

LetsPlot.getInfo()

Out[2]:

Lets-Plot Kotlin API v.4.9.0. Frontend: Notebook with dynamically loaded JS. Lets-Plot JS v.4.5.1.

In [3]:

val iris_df = DataFrame.readCSV("https://raw.githubusercontent.com/JetBrains/lets-plot-docs/master/data/iris.csv")
iris_df.head()

Out[3]:

DataFrame: rowsCount = 5, columnsCount = 5

sepal_length	sepal_width	petal_length	petal_width	species
5.100000	3.500000	1.400000	0.200000	setosa
4.900000	3.000000	1.400000	0.200000	setosa
4.700000	3.200000	1.300000	0.200000	setosa
4.600000	3.100000	1.500000	0.200000	setosa
5.000000	3.600000	1.400000	0.200000	setosa

In [4]:

val iris_dat = iris_df.toMap()

Default plot¶

In [5]:

residualPlot(iris_dat, "petal_length", "petal_width")

Out[5]:

Scatter plot (`method='none'`)¶

In [6]:

residualPlot(iris_dat, "petal_length", "petal_width", method="none", hline=false) + 
    themeClassic()

Out[6]:

Change geom type¶

In [7]:

residualPlot(iris_dat, "petal_length", "petal_width", geom="tile", marginal="hist:tr") + ggsize(600, 300)

Out[7]:

Change method¶

In [8]:

residualPlot(iris_dat, "petal_length", "petal_width", method="loess", span=.25, maxN=25)

Out[8]:

Geometries customization¶

In [9]:

residualPlot(iris_dat, "petal_length", "petal_width", size=5, color="#feb24c", alpha=0.3)

Out[9]:

In [10]:

residualPlot(iris_dat, "petal_length", "petal_width", geom="none", color="black", hline=false) + 
    geomHLine(yintercept=0, color="black") +
    geomPoint(size=5, shape=21, color="black", fill="#feb24c")

Out[10]:

In [11]:

residualPlot(iris_dat, "petal_length", "petal_width", hline=false, marginal="none") + 
    geomSmooth(method="loess", se=true, level=.99, seed=42)

Out[11]:

Marginal layers customization¶

In [12]:

residualPlot(iris_dat, "petal_length", "petal_width", marginal="box:lb:.03,hist:t:.4,hist:r", color="black") + 
    ggmarginal("tr", layer=geomArea(stat=Stat.density(), color="magenta", fill="magenta", alpha=.1)) + 
    themeMinimal()

Out[12]:

Grouping¶

In [13]:

residualPlot(iris_dat, "petal_length", "petal_width", colorBy="species")

Out[13]:

Flipped Coordinates¶

In [14]:

residualPlot(iris_dat, "petal_length", "petal_width", geom="tile", binWidth=.4 to .1, marginal="none") + 
    coordFixed(ratio=.25, flip=true) +
    theme(axisTicks="blank", axisText="blank", axisLine="blank")

Out[14]:

In [15]:

residualPlot(iris_dat, "petal_length", "petal_width", color="white", binWidth=.1, marginal="hist:r") + 
    ylab("residual") +
    themeBW() + theme(text=elementText(family="monospace")) + 
    flavorHighContrastDark()

Out[15]: