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R workspace
Development and execution environment for R programming language. Experiment, prototype, code and schedule executions.
Why this images
- You need self-hosted remote development environment for R.
- You want to be one 'docker run' command away from having everything needed to work with R.
- You need isolated environment where you can work with R without affecting main environment.
- You need an environment that you can "move" to a more powerful machine if needed.
Start
docker run --name space-1 -d -p 8020-8040:8020-8040 alnoda/r-workspace
and open localhost:8020 in browser.
Features
Dev tools:
- RStudio server - open source version of popular R IDE, browser-based.
- Terminal - secure browser-based terminal.
- FileBrowser - manage files and folders inside the workspace, and exchange data between local environment and the workspace
- Ungit - rings user friendliness to git without sacrificing the versatility of it.
- Ubuntu 20.4 with the following CLI apps
Docs
See our guides on