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There are many descriptions on how to install the R kernel in JupyterLab available such as this. However, all these descriptions use the same environment for Python and R. That can lead to many version conflicts and limitations. Therefore, I would prefer to install R in a clean environment without too many unrelated Python packages. With ipython kernel install --user --name="R" only the currently activated Python kernel gets installed. Is there a way to do that with the R kernel as well?
The text was updated successfully, but these errors were encountered:
There are many descriptions on how to install the R kernel in JupyterLab available such as this. However, all these descriptions use the same environment for Python and R. That can lead to many version conflicts and limitations. Therefore, I would prefer to install R in a clean environment without too many unrelated Python packages. With ipython kernel install --user --name="R" only the currently activated Python kernel gets installed. Is there a way to do that with the R kernel as well?
The text was updated successfully, but these errors were encountered: