CoCalc feature
R Statistical Software Online
Use R when statistics is part of a larger project workflow.
Use R statistical software online in a collaborative CoCalc project: Jupyter notebooks with the IRkernel, a one-click browser-based R IDE, RMarkdown and Quarto reports, knitr LaTeX documents, and persistent package installs.
Work with R in Jupyter notebooks, a browser-based IDE, terminals, scripts, RMarkdown and Quarto documents, knitr LaTeX papers, and shared course projects.
R statistical software online
Run R in your browser: Jupyter notebooks with the IRkernel, a full R IDE launched with one click, RMarkdown and Quarto reports, knitr LaTeX documents, and plain R scripts on the command line.
Everything lives in one shared project: data, packages, notebooks, reports, and their full edit history, so collaborators re-run the same analysis instead of a copy.
- CoCalc renders .Rmd files with rmarkdown::render and .qmd files with quarto render
- .Rnw and .Rtex knitr documents build in the LaTeX editor with forward and inverse search
- Shiny is installed in the R images, with a bundled example app behind the project proxy
- Package installs persist on top of the image's preinstalled R stack