![]() Sometimes, I need to save the plots to a PDF file. Rendered HTML file and automatically update when the file is changed. This extension provides an alternative way to serve the ![]() However, when the document becomes larger and the computing time longer, it is often not ideal to render on document change. ![]() Vscode-R supports live rendering of an R markdown document when it is changed. This extension makes it much easier to overview the Git history of the repo in a graph. The built-in Git support in VS Code is amazing, yet this extension pushes the limit of Git integration to a whole new level. This extension provides just the path completion which is configurable. Path completion is a basic feature in RStudio but not a built-in functionality in VS Code. This extension displays the code diagnostics in a much more prominent way so that as you type the code in the editor, the linting runs, and the results are directly displayed along with the code of issues. You will have the ability to interactively debug Rcpp or cpp11 code through some configuration.īy default, the linting warnings and errors are only displayed by wavy underlines, which are not easy to spot until the code runs into errors. To work with a package that use both R and C/C++, it is best that you have the C/C++ extension installed so that you get the full capabilities of editing C/C++ code such as code completion, formatting, go to definition, rename symbol, find references, etc. If you need to write some high performance code in C/C++ to be used in R, the best choice is to use Rcpp or the much newer cpp11. ![]() Many R packages implement their algorithms in C/C++ for performance and memory efficiency. My previous post demonstrates this extension. It provides the capabilities to interactively debug R file, R package, or any R workspace. The project wiki is a good place to get started and know more about the features. It provides the R language support and interacting with R terminals. As I have been constantly using R in VS Code for more than two years, the following is a list of my recommendations for VS Code extensions to improve the experience of R development and data research. ![]()
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