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If the user provides an environment.yml file that contains an R package, we should also start RStudio via jupyter_server_proxy. For the start, we could determine the usage of R by checking if any of the dependencies in the environment.yml contains an r- prefix.
Who would use this feature?
This would be used by people that install their R packages via conda as well as could it be an alternative to MRAN to get pinned versions for R packages.
How much effort will adding it take?
This needs a bit of refactoring to expose the install commands for RStudio separately from the RBuildPack. Otherwise, the work will be limited to testing the setup.
Who can do this work?
I happy to implement this incl. an example for binder.
The text was updated successfully, but these errors were encountered:
Proposed change
If the user provides an
environment.yml
file that contains an R package, we should also start RStudio viajupyter_server_proxy
. For the start, we could determine the usage of R by checking if any of the dependencies in theenvironment.yml
contains anr-
prefix.Who would use this feature?
This would be used by people that install their R packages via
conda
as well as could it be an alternative to MRAN to get pinned versions for R packages.How much effort will adding it take?
This needs a bit of refactoring to expose the install commands for RStudio separately from the
RBuildPack
. Otherwise, the work will be limited to testing the setup.Who can do this work?
I happy to implement this incl. an example for binder.
The text was updated successfully, but these errors were encountered: