You can run chunks written in other languages, like Python, Bash, or C++ (Rcpp).

R Notebooks can run more than just R code. This video provides a bit more background and a demonstration of notebooks in action: R Notebooks bring the interactive model of execution to your R Markdown documents, giving you the capability to work quickly and iteratively in a notebook interface without leaving behind the plain-text tools and production-quality output you’ve come to rely on from R Markdown. However, code in notebooks is typically executed interactively, one cell at a time, whereas code in R Markdown documents is typically executed in batch. Interactive R MarkdownĪs an authoring format, R Markdown bears many similarities to traditional notebooks like Jupyter and Beaker.

You can try out R Notebooks today in the RStudio Preview Release. Notebooks are also an excellent tool for teaching and a convenient way to share analyses. Notebook interfaces for data analysis have compelling advantages including the close association of code and output and the ability to intersperse narrative with computation. Today we’re excited to announce R Notebooks, which add a powerful notebook authoring engine to R Markdown.