This template environment can be used to create custom R notebook environments.
This environment has been built for R and includes commonly used OSS machine learning and data science R packages. For specific version information, see setup-common.
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Update setup-common to add your custom libraries supported by R.
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From the terminal, run:
tar -czvf py311_notebook_dropin.tar.gz -C /path/to/public_dropin_notebook_environments/r_notebook/ .
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Using either the API or from the UI create a new Custom Environment with the tarball created in step 2.
Upon successful build, the custom environment can be used in notebooks, by selecting it
from Session environment
> Environment
in the notebook sidebar.