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Last pushed: a year ago
Short Description
R is a system for statistical computation and graphics.
Full Description


The armel organization is deprecated in favor of the more-specific arm32v5 organization, as per Please adjust your usages accordingly.

Supported tags and respective Dockerfile links

THESE IMAGES ARE VERY EXPERIMENTAL; THEY ARE PROVIDED ON A BEST-EFFORT BASIS WHILE docker-library/official-images#2289 IS STILL IN-PROGRESS (which is the first step towards proper multiarch images)


This image is built from the source of the official image of the same name (r-base). Please see that image's description for links to the relevant Dockerfiles.

If you are curious about specifically how this image differs, see the Jenkins Groovy DSL scripts in the tianon/jenkins-groovy GitHub repository, which are responsible for creating the Jenkins jobs which build them.

Quick reference

What is R?

R is a system for statistical computation and graphics. It consists of a language plus a run-time environment with graphics, a debugger, access to certain system functions, and the ability to run programs stored in script files.

The R language is widely used among statisticians and data miners for developing statistical software and data analysis. Polls and surveys of data miners are showing R's popularity has increased substantially in recent years.

R is an implementation of the S programming language combined with lexical scoping semantics inspired by Scheme. S was created by John Chambers while at Bell Labs. R was created by Ross Ihaka and Robert Gentleman at the University of Auckland, New Zealand, and is currently developed by the R Development Core Team, of which Chambers is a member. R is named partly after the first names of the first two R authors and partly as a play on the name of S.

R is a GNU project. The source code for the R software environment is written primarily in C, Fortran, and R. R is freely available under the GNU General Public License, and pre-compiled binary versions are provided for various operating systems. R uses a command line interface; however, several graphical user interfaces are available for use with R.


How to use this image

Interactive R

Launch R directly for interactive work:

$ docker run -ti --rm r-base

Batch mode

Link the working directory to run R batch commands. We recommend specifying a non-root user when linking a volume to the container to avoid permission changes, as illustrated here:

$ docker run -ti --rm -v "$PWD":/home/docker -w /home/docker -u docker r-base R CMD check .

Alternatively, just run a bash session on the container first. This allows a user to run batch commands and also edit and run scripts:

$ docker run -ti --rm r-base /usr/bin/bash
$ vim.tiny myscript.R

Write the script in the container, exit vim and run Rscript

$ Rscript myscript.R


Use r-base as a base for your own Dockerfiles. For instance, something along the lines of the following will compile and run your project:

FROM r-base
COPY . /usr/local/src/myscripts
WORKDIR /usr/local/src/myscripts
CMD ["Rscript", "myscript.R"]

Build your image with the command:

$ docker build -t myscript /path/to/Dockerfile

Running this container with no command will execute the script. Alternatively, a user could run this container in interactive or batch mode as described above, instead of linking volumes.

Further documentation and example use cases can be found at the rocker-org project wiki.


View R-project license information for the software contained in this image.

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