ccv_bootcamp_R

Materials for the CCV Intro to R bootcamp.

Run this workshop on Brown Open OnDemand (OOD)

These workshop materials can be used from a Brown University Open OnDemand RStudio Session running with Singularity.

1. Sign in to the Brown Open OnDemand portal (ood.ccv.brown.edu).
2. Open Interactive Apps and start an RStudio Session.
3. Choose the Singularity-based RStudio option for the session.
4. Use the preexisting workshop image at /oscar/data/shared/workshops/ccv_bootcamp_r:20260528.sif when selecting the container image for the session.
5. Launch the session and wait for RStudio to open in your browser.

If you prefer to recreate the workshop image yourself instead of using the shared .sif file, the repository also includes a Dockerfile with the container definition.

Clone the workshop repository in RStudio

Once the RStudio Session starts:

1. Open the Terminal tab in RStudio.

2. Clone the repository:

   git clone https://github.com/compbiocore/ccv_bootcamp_R.git

3. Change into the repository directory if needed:

   cd ccv_bootcamp_R

Load the Intro to R notebook

1. In RStudio, open the Files pane.
2. Navigate into the ccv_bootcamp_R directory.
3. Open R_Bootcamp_Intro_R.Rmd, which is the Intro to R notebook for this workshop.
4. Work through the notebook in RStudio by running each code chunk.

Other workshop materials

• R_Bootcamp_Tidyverse_ggplot2.Rmd - follow-on workshop material covering tidyverse and ggplot2.
• Dockerfile - container definition you can use if you want to recreate the workshop image yourself instead of using the shared /oscar/data/shared/workshops/ccv_bootcamp_r:20260528.sif image.