My solution is to install an intel VS code. Note: if you are using an Apple M1 machine, you may come across the problem of incompatibility. More importantly, you may come across some other issues, e.g., it may fail to support for multi-threading when executing you R script via radian. For example, I changed the header as “ #!/usr/local/bin/python3”, since python3 is linked to python3.10 on my computer. It is important to know that radian is a python module, and you can specify a different version of python interpreter by directly modifying the radian script via (vim /usr/local/bin/radian). Set the working directory at the current workspace You can also set a shortcut for this, as shown in the figure below. To see whether it works well, you can restart VS code and search for “create R terminal” in your command template ( shift + cmd + p). Just search for “r.path” in your settings ( cmd + ,), and add the path ( /usr/local/bin/radian) in specific cell. With radian installed, you still need to specify the R path in your VS code settings. You can directly install radian in your terminal via pip. It is recommended to use the radian console as an alternative, since it supports rich syntax highlight for R script. These settings can be easily generalized to other languages by adjusting the engines/compilers or adding the language-specific extensions.īefore I get started, it is necessary to install some extensions. Here I will give a quick overview of the key features for deploying my R markdown notebook in VS code. I am looking for a general-purpose editor that can integrate and customize different features across all programming languages that I often use (e.g., R, Python, Julia and Javascript), and Visual Studio Code seems to be the best candidate for me.

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