rstudio2u

Adds RStudio Server, pandoc, and Quarto to r2u, works on AMD64 and ARM64 (e.g., Apple Silicon)

Binary package installation from within R via bspm for faster installs and smaller image size

Tag	Architectures	R version	RStudio version
latest	amd64, arm64	4.5.3	2026.01.2-418
noble	amd64, arm64	4.5.3	2026.01.2-418

Use Examples

Option 1: Pull and run from Dockerhub

1. Install and open Docker Desktop

2. Enter the following command in your terminal

   docker pull jmgirard/rstudio2u
   docker run --rm -p 8787:8787 -e PASSWORD=pass -t jmgirard/rstudio2u
   

3. Navigate to http://localhost:8787 and enter username rstudio and password pass

4. Whenever you use install.packages() or update.packages(), it will use bspm

5. When done, open Docker Desktop and end the container

6. Next time, you don't need to run docker pull... again

Option 2: Clone, build, and compose

1. Install and open Docker Desktop

2. Install Git

3. Enter the following command in your terminal

   git clone https://github.com/jmgirard/rstudio2u
   cd rstudio2u
   docker compose up --build -d
   

4. Navigate to http://localhost:8787 (no username or password needed)

5. Whenever you use install.packages() or update.packages(), it will use bspm

6. When done, open Docker Desktop and end the container

7. Next time, you don't need to run git clone... again

Derivative Images

• jmgirard/rocker-bayes - Adds CmdStan and R packages for Bayesian data analysis