The completion shows the available functions and variables in the scope and the current R workspace along with the documentation from packages or provided as comments.

The R extension supports code completion and many other code editing features thanks to the R language server. If you want to run an entire R file, open the file in the editor, and press Ctrl+Shift+S and the file will be sourced in the active R terminal.įor more advanced usage such as running multiple R terminals or self-managed R terminals, you can read Interacting with R terminals. Once an R terminal is ready, you could either select the code or put the cursor at the beginning or ending of the code you want to run, press (Ctrl+Enter), and then code will be sent to the active R terminal. Before running R code, you could create an R terminal via command R: Create R terminal in the Command Palette. Running R code is simply sending code to the R terminal. If you run into any issues installing the R packages or the R extension for VS Code, go to the installation wiki pages ( Windows | macOS | Linux) for more details. This package is required by the interactive plot viewer of the R extension for VS Code. Httpgd: An R package to provide a graphics device that asynchronously serves SVG graphics via HTTP and WebSockets. Radian: A modern R console that corrects many limitations of the official R terminal and supports many features such as syntax highlighting and auto-completion. To enhance the experience of using R in VS Code, the following software and packages are recommended: Install the R extension for Visual Studio Code. For Windows users, it is recommended to check Save version number in registry during installation so that the R extension can find the R executable automatically. The R extension for Visual Studio Code supports extended syntax highlighting, code completion, linting, formatting, interacting with R terminals, viewing data, plots, workspace variables, help pages, managing packages and working with R Markdown documents. R is commonly used in statistical analysis, scientific computing, machine learning, and data visualization. The R programming language is a dynamic language built for statistical computing and graphics.

Configure IntelliSense for cross-compiling.

Update r version in rstudio