If you do not have R installed, download and install it here.
Once that’s done, we’re ready to setup R to work with Jupyter! To setup R to work with Jupyter Notebooks, though, we have to do a real jupyter installation.
Install Jupyter with miniconda ¶Įven though we’ve been using jupyter notebooks in VS Code so you might think you’ve already installed jupyter, VS Code is just using a little version of jupyter that comes bundled with the editor. That means that you can use Jupyter notebooks for more than Python! In this reading, I’ll show you how to setup R to work with Jupyter Notebooks. In the Jupyter ecosystem, the program being used to actually run your analysis (i.e. Python, R) is referred to as a kernel. This makes it possible to create one interface (a text editor, a window where results are displayed, etc.) that can be used to run your analyses in any number of different programs. As we discussed before, the idea of Jupyter is to separate the interface you are working with from the underlying programming language doing your analysis.
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