My preferred way to access [[R]] is by installing it within a [[mamba]] environment and run it in a [[Jupyter Notebook]]. - Create an environment for the project - Install [[r-essentials]] - Open the directory with [[VS Code]] (alternatively, launch Jupyter Notebook with the command `jupyter notebook`). ```bash mamba create -n R-env mamba activate R-env mamba install r-essentials code . ``` - Create a new Jupyter Notebook using the R kernel in the environment you just created (`Ctrl+Shift+P` to open the command palette and begin typing to select "Create New Jupyter Notebook"; in the top right corner, click **Select Kernel** and select the R kernel in the environment you just created). > [!Tip] Why mamba? > Installing the package `r-essentials` and all dependencies times out on my machine when using `conda`. `mamba` is a drop in replacement for `conda` that is much faster and permits installation of R in this way.