Setting up R in Jupyter Notebook¶

This is by far the easiest install that I have done of this kind
just open up your terminal and run the following commands;
- conda install -c r r-essentials
- conda create -n my-r-env -c r r-essentials

In [4]:

#Let's run a quick test
e<-'Hello World!'
e

"Hello World!"

In [5]:

library(dplyr)

Attaching package: 'dplyr'

The following objects are masked from 'package:stats':

    filter, lag

The following objects are masked from 'package:base':

    intersect, setdiff, setequal, union

In [6]:

iris

	Sepal.Length	Sepal.Width	Petal.Length	Petal.Width	Species
1	5.1	3.5	1.4	0.2	setosa
2	4.9	3	1.4	0.2	setosa
3	4.7	3.2	1.3	0.2	setosa
4	4.6	3.1	1.5	0.2	setosa
5	5	3.6	1.4	0.2	setosa
6	5.4	3.9	1.7	0.4	setosa
7	4.6	3.4	1.4	0.3	setosa
8	5	3.4	1.5	0.2	setosa
9	4.4	2.9	1.4	0.2	setosa
10	4.9	3.1	1.5	0.1	setosa
11	5.4	3.7	1.5	0.2	setosa
12	4.8	3.4	1.6	0.2	setosa
13	4.8	3	1.4	0.1	setosa
14	4.3	3	1.1	0.1	setosa
15	5.8	4	1.2	0.2	setosa
16	5.7	4.4	1.5	0.4	setosa
17	5.4	3.9	1.3	0.4	setosa
18	5.1	3.5	1.4	0.3	setosa
19	5.7	3.8	1.7	0.3	setosa
20	5.1	3.8	1.5	0.3	setosa
21	5.4	3.4	1.7	0.2	setosa
22	5.1	3.7	1.5	0.4	setosa
23	4.6	3.6	1	0.2	setosa
24	5.1	3.3	1.7	0.5	setosa
25	4.8	3.4	1.9	0.2	setosa
26	5	3	1.6	0.2	setosa
27	5	3.4	1.6	0.4	setosa
28	5.2	3.5	1.5	0.2	setosa
29	5.2	3.4	1.4	0.2	setosa
30	4.7	3.2	1.6	0.2	setosa
...	...	...	...	...	...
121	6.9	3.2	5.7	2.3	virginica
122	5.6	2.8	4.9	2	virginica
123	7.7	2.8	6.7	2	virginica
124	6.3	2.7	4.9	1.8	virginica
125	6.7	3.3	5.7	2.1	virginica
126	7.2	3.2	6	1.8	virginica
127	6.2	2.8	4.8	1.8	virginica
128	6.1	3	4.9	1.8	virginica
129	6.4	2.8	5.6	2.1	virginica
130	7.2	3	5.8	1.6	virginica
131	7.4	2.8	6.1	1.9	virginica
132	7.9	3.8	6.4	2	virginica
133	6.4	2.8	5.6	2.2	virginica
134	6.3	2.8	5.1	1.5	virginica
135	6.1	2.6	5.6	1.4	virginica
136	7.7	3	6.1	2.3	virginica
137	6.3	3.4	5.6	2.4	virginica
138	6.4	3.1	5.5	1.8	virginica
139	6	3	4.8	1.8	virginica
140	6.9	3.1	5.4	2.1	virginica
141	6.7	3.1	5.6	2.4	virginica
142	6.9	3.1	5.1	2.3	virginica
143	5.8	2.7	5.1	1.9	virginica
144	6.8	3.2	5.9	2.3	virginica
145	6.7	3.3	5.7	2.5	virginica
146	6.7	3	5.2	2.3	virginica
147	6.3	2.5	5	1.9	virginica
148	6.5	3	5.2	2	virginica
149	6.2	3.4	5.4	2.3	virginica
150	5.9	3	5.1	1.8	virginica

In [8]:

iris %>%
group_by(Species) %>%
summarise(Sepal.Width.Avg = mean(Sepal.Width)) %>%
arrange(Sepal.Width.Avg)

	Species	Sepal.Width.Avg
1	versicolor	2.77
2	virginica	2.974
3	setosa	3.428

In [9]:

library(ggplot2)
ggplot(data=iris, aes(x=Sepal.Length, y=Sepal.Width, color=Species)) + geom_point(size=3)

In [ ]: