machinedata/r-studio repository overview

⁠Supported tags and respective Dockerfile links

• latest (Dockerfile)⁠

⁠R-Studio Server on Docker

This repository holds a build definition and supporting files for building a Docker image to run R-Studio Server⁠. It is published as automated build machine-data/docker-r-studio on Docker Hub⁠.

⁠What is R-Studio?

R-Studio Server⁠ is an open source (AGPL v3.0 licensed) integrated development environment (IDE) for R. It includes a console, syntax-highlighting editor that supports direct code execution, as well as tools for plotting, history, debugging and workspace management. R-Studio Server is a web based frontend.

⁠Yet another R-Studio container?

Not quite:

• Added dependencies: Java, rJava, ggplot2, tidyr, reshape2, dplyr, DAAG, bit64, zoo, sqldf, RJDBC.
• All user data under /home/rstudio/projects - ready-to mount.

⁠Quickstart

Start R-Studio and name the container r-studio_test:

$ docker run -d \
    --name r-studio_test \
    --publish 8787:8787 \
    --volume $(pwd)/rstudio:/home/rstudio/projects \
    machine-data/r-studio

Connect to the web interface with port 8787 and login with rstudio:rstudio

⁠Volumes

• /home/rstudio/projects: Path where R-Studio Projects and R persistent data are saved (.rstudio).

⁠Ports

• 8787: Port for the web interface

⁠Legal

R-Studio is written and maintained by R-Studio⁠ and is licensed⁠ under the AGPL v3.0.

⁠Contributing

Thanks for considering contributing to docker-r-studio! The easiest way to contribute is either by filing an issue on Github⁠ or to fork the repository⁠ to create a pull request.

If you have any questions don't hesitate to join us on Slack.