add a few more realistic examples of use cases
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@ -41,9 +41,44 @@ graphical user interfaces are available for use with R.
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# How to use this image
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R can be used interactively, as well as in scripts via Rscript
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front-end. Both modes are supported by the container.
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<!-- DE: More examples here ? -->
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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 /usr/bin/R
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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 -e 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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@ -32,25 +32,44 @@ graphical user interfaces are available for use with R.
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# How to use this image
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## Start an R instance
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## Interactive R ##
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The most straightforward way to use this image is to use a container as both
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the build and runtime environment. In your `Dockerfile`, writing something along
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the lines of the following will compile and run your project:
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Launch R directly for interactive work:
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docker run -ti --rm r-base /usr/bin/R
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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 -e myscript.R"]
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Then, build and run the Docker image:
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Build your image with the command:
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docker build -t my-r-app .
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<!-- is building really a number one use case? I think most user just want to launch -->
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docker run -it --rm --name my-running-app my-r-app
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docker build -t myscript /path/to/Dockerfile
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Lauch R directory for interactive work:
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docker run -ti --rm rocker/r-base /usr/bin/R
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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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