Google Colab R

• Google is now supporting a Colab notebook with the R kernel

• We can run R codes directly on Colab

• R Colab Notebook Link: R Google Colab

  • Colab with R kernel

  • With base-R installed

  • Run R codes immediately

  • No need to setup

  • Save a copy in your Drive

Demonstration

This notebook uses the R kernel.

sessionInfo()

R version 4.0.2 (2020-06-22)
Platform: x86_64-pc-linux-gnu (64-bit)
Running under: Ubuntu 18.04.5 LTS

Matrix products: default
BLAS:   /usr/lib/x86_64-linux-gnu/openblas/libblas.so.3
LAPACK: /usr/lib/x86_64-linux-gnu/libopenblasp-r0.2.20.so

locale:
 [1] LC_CTYPE=en_US.UTF-8       LC_NUMERIC=C              
 [3] LC_TIME=en_US.UTF-8        LC_COLLATE=en_US.UTF-8    
 [5] LC_MONETARY=en_US.UTF-8    LC_MESSAGES=en_US.UTF-8   
 [7] LC_PAPER=en_US.UTF-8       LC_NAME=C                 
 [9] LC_ADDRESS=C               LC_TELEPHONE=C            
[11] LC_MEASUREMENT=en_US.UTF-8 LC_IDENTIFICATION=C       

attached base packages:
[1] stats     graphics  grDevices utils     datasets  methods   base     

loaded via a namespace (and not attached):
 [1] compiler_4.0.2  ellipsis_0.3.1  IRdisplay_0.7.0 pbdZMQ_0.3-3   
 [5] tools_4.0.2     htmltools_0.5.0 pillar_1.4.6    base64enc_0.1-3
 [9] crayon_1.3.4    uuid_0.1-4      IRkernel_1.1.1  jsonlite_1.7.1 
[13] digest_0.6.25   lifecycle_0.2.0 repr_1.1.0      rlang_0.4.7    
[17] evaluate_0.14  

library(ggplot2)
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

head(iris)

A data.frame: 6 × 5

	Sepal.Length	Sepal.Width	Petal.Length	Petal.Width	Species
	<dbl>	<dbl>	<dbl>	<dbl>	<fct>
1	5.1	3.5	1.4	0.2	setosa
2	4.9	3.0	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	5.0	3.6	1.4	0.2	setosa
6	5.4	3.9	1.7	0.4	setosa

iris %>%
ggplot(aes(Sepal.Length, Sepal.Width, color=Species))+
geom_point(alpha=0.7)