The automated build Docker image of The R Project for Statistical Computing “linuxconfig/cran-r” can be used to instantly deploy R programming software environment on any hosts given that you have docker already installed on your system.
The docker image with the R Project is compiled and runs on Debian GNU/Linux system.
Here we assume that docker is already installed on your system.First pull docker image:
# docker pull linuxconfig/cran-r
By using docker’s
-v option we can now mount and thus make accessible our R working directory within a Docker’s containcer. For an example our
r-files directory contains a single R script
# cat r-files/hello.R cat ('Hello world!')
Now, we deploy r-cran docker image and make our local
r-files directory available within our new docker container directory
/root/. Feel free to change your target directory to fit your needs:
# docker run -it -name cran-r -h cran-r -v $PWD/r-files:/root/ linuxconfig/cran-r /bin/bash root@cran-r:/R-3.2.1#
Navigate to your
/root/ directory to access your R working files:
# cd root@cran-r:~# ls hello.R # R CMD BATCH hello.R root@cran-r:~# cat hello.Rout R version 3.2.1 (2015-06-18) -- "World-Famous Astronaut" Copyright (C) 2015 The R Foundation for Statistical Computing Platform: x86_64-unknown-linux-gnu (64-bit) R is free software and comes with ABSOLUTELY NO WARRANTY. You are welcome to redistribute it under certain conditions. Type 'license()' or 'licence()' for distribution details. R is a collaborative project with many contributors. Type 'contributors()' for more information and 'citation()' on how to cite R or R packages in publications. Type 'demo()' for some demos, 'help()' for on-line help, or 'help.start()' for an HTML browser interface to help. Type 'q()' to quit R. > cat ('Hello world!') Hello world!> > proc.time() user system elapsed 0.129 0.033 0.245