Merge pull request #110 from rocker-org/master
Docs for the r-base image
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R is a system for statistical computation and graphics.
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# Supported tags and respective `Dockerfile` links
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- [`3.1.2` (*3.1.2/Dockerfile*)](https://github.com/rocker-org/rocker/blob/105fca2b42051c5cd0894da31839c99a9b7de320/debian/r-base/Dockerfile)
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For more information about this image and its history, please see the
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[relevant manifest file (`library/r-base`)](https://github.com/rocker-org/official-images/blob/master/library/r-base)
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and the
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[`rocker-org/rocker` GitHub repo](https://github.com/rocker-org/rocker).
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# What is R?
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R is a system for statistical computation and graphics. It consists of a
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language plus a run-time environment with graphics, a debugger, access to
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certain system functions, and the ability to run programs stored in script
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files.
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The R language is widely used among statisticians and data miners for
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developing statistical software and data analysis. Polls and surveys of data
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miners are showing R's popularity has increased substantially in recent
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years.
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R is an implementation of the S programming language combined with lexical
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scoping semantics inspired by Scheme. S was created by John Chambers while at
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Bell Labs. R was created by Ross Ihaka and Robert Gentleman at the University
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of Auckland, New Zealand, and is currently developed by the R Development
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Core Team, of which Chambers is a member. R is named partly after the first
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names of the first two R authors and partly as a play on the name of S.
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R is a GNU project. The source code for the R software environment is written
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primarily in C, Fortran, and R. R is freely available under the GNU General
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Public License, and pre-compiled binary versions are provided for various
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operating systems. R uses a command line interface; however, several
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graphical user interfaces are available for use with R.
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> [R FAQ](http://cran.r-project.org/doc/FAQ/R-FAQ.html#What-is-R_003f)
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> [wikipedia.org/wiki/R_(programming_language)](http://en.wikipedia.org/wiki/R_(programming_language))
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# How to use this image
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## Interactive R ##
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Launch R directly for interactive work:
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docker run -ti --rm r-base
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## Batch mode ##
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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:
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docker run -ti --rm -v $(pwd):/home/docker -w /home/docker -u docker r-base R CMD check .
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Alternatively, just run a bash session on the container first. This allows a user to run batch commands and also edit and run scripts:
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docker run -ti --rm r-base /usr/bin/bash
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vim.tiny myscript.R
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Write the script in the container, exit `vim` and run `Rscript`
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Rscript myscript.R
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## Dockerfiles ##
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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:
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FROM r-base:latest
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COPY . /usr/local/src/myscripts
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WORKDIR /usr/local/src/myscripts
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CMD ["Rscript", "myscript.R"]
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Build your image with the command:
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docker build -t myscript /path/to/Dockerfile
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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.
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Further documentation and example use cases can be found at the [rocker-org](https://github.com/rocker-org/rocker/wiki) project wiki.
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# License
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View [R-project license information](http://www.r-project.org/Licenses/) for the software contained in this image.
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# User Feedback
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## Issues
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If you have any problems with or questions about this image, please contact
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us through a [GitHub issue](https://github.com/rocker-org/rocker/issues).
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You can also reach us by email via email at `rocker-maintainers@eddelbuettel.com`.
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## Contributing
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You are invited to contribute new features, fixes, or updates, large or small;
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we are always thrilled to receive pull requests, and do our best to process them
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as fast as we can.
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Before you start to code, we recommend discussing your plans through a
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[GitHub issue](https://github.com/rocker-org/rocker/issues), especially for
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more ambitious contributions. This gives other contributors a chance to point
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you in the right direction, give you feedback on your design, and help you
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find out if someone else is working on the same thing.
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# What is R?
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R is a system for statistical computation and graphics. It consists of a
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language plus a run-time environment with graphics, a debugger, access to
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certain system functions, and the ability to run programs stored in script
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files.
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The R language is widely used among statisticians and data miners for
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developing statistical software and data analysis. Polls and surveys of data
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miners are showing R's popularity has increased substantially in recent
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years.
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R is an implementation of the S programming language combined with lexical
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scoping semantics inspired by Scheme. S was created by John Chambers while at
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Bell Labs. R was created by Ross Ihaka and Robert Gentleman at the University
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of Auckland, New Zealand, and is currently developed by the R Development
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Core Team, of which Chambers is a member. R is named partly after the first
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names of the first two R authors and partly as a play on the name of S.
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R is a GNU project. The source code for the R software environment is written
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primarily in C, Fortran, and R. R is freely available under the GNU General
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Public License, and pre-compiled binary versions are provided for various
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operating systems. R uses a command line interface; however, several
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graphical user interfaces are available for use with R.
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> [R FAQ](http://cran.r-project.org/doc/FAQ/R-FAQ.html#What-is-R_003f)
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> [wikipedia.org/wiki/R_(programming_language)](http://en.wikipedia.org/wiki/R_(programming_language))
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%%LOGO%%
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# How to use this image
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## Interactive R ##
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Launch R directly for interactive work:
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docker run -ti --rm r-base
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## Batch mode ##
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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:
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docker run -ti --rm -v $(pwd):/home/docker -w /home/docker -u docker r-base R CMD check .
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Alternatively, just run a bash session on the container first. This allows a user to run batch commands and also edit and run scripts:
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docker run -ti --rm r-base /usr/bin/bash
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vim.tiny myscript.R
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Write the script in the container, exit `vim` and run `Rscript`
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Rscript myscript.R
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## Dockerfiles ##
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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:
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FROM r-base:latest
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COPY . /usr/local/src/myscripts
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WORKDIR /usr/local/src/myscripts
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CMD ["Rscript", "myscript.R"]
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Build your image with the command:
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docker build -t myscript /path/to/Dockerfile
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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.
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Further documentation and example use cases can be found at the [rocker-org](https://github.com/rocker-org/rocker/wiki) project wiki.
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|
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|
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@ -0,0 +1,2 @@
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View [R-project license information](http://www.r-project.org/Licenses/) for the software contained in this image.
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