Translations:JupyterLab/52/fr

R Kernel

Prerequisites:

1. Configuring an R kernel still depends on a Python virtual environment that already has all the Python Kernel dependencies. If you do not have such virtual environment, make sure to follow instructions listed in the previous section.
2. Since the installation of R packages requires an access to CRAN, the configuration of an R kernel must be done in a remote shell session on a login node. For example, from a local terminal or any SSH client:

   [my_computer ~] $ ssh username@cluster_address
   

Once you have a Python virtual environment available, you may configure the R kernel: