R help - Sep 2019 - How to use Conda with R + RStudio Server

Dear R-help Mailing List:

For reproducibility, I want to use Conda + R (IRkernel), which will allow
me to have within the same machine different "environments", with
different
versions of R installed, and specific package versions:

http://know.continuum.io/rs/387-XNW-688/images/conda-cheatsheet.pdf

As a result, I could execute in my command prompt:
>> conda activate r_environment_A
>> jupyter lab
And develop in a R environment with a fixed set of packages, and anyone
with my same environment (Can be exported though a `conda env export` and
created though a `conda create`) could reproduce the same analyses in their
machine:

https://docs.anaconda.com/anaconda/user-guide/tasks/using-r-language/

https://richpauloo.github.io/2018-05-16-Installing-the-R-kernel-in-Jupyter-Lab/


However, instead of using Jupyter Lab, I would like to use "RStudio
Server"
within my conda environment, but this is far more complicated, as I have
not been able to install it in an easy way, so that, changing my conda
environment, also changes my RStudio Server Environment:

https://www.rstudio.com/products/rstudio/download-server/

Anyone has any gess on how to do it?

Thank you!

Juan Telleria

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You may get a response here (including my poorly-informed one) but this is off
topic (_do read the Posting Guide_) so you are basically barking into the
darkness here. You should be asking in the RStudio community forum.

As far as I am aware you have to run your RSS in a single environment, so conda
is a poor match for that IDE. But hey... I could be wrong... go ask an expert.

On September 7, 2019 8:58:19 AM PDT, Juan Telleria Ruiz de Aguirre
<jtelleria.rproject at gmail.com> wrote:
>Dear R-help Mailing List:
>
>For reproducibility, I want to use Conda + R (IRkernel), which will
>allow
>me to have within the same machine different "environments", with
>different
>versions of R installed, and specific package versions:
>
>http://know.continuum.io/rs/387-XNW-688/images/conda-cheatsheet.pdf
>
>As a result, I could execute in my command prompt:
>
>>> conda activate r_environment_A
>
>>> jupyter lab
>
>And develop in a R environment with a fixed set of packages, and anyone
>with my same environment (Can be exported though a `conda env export`
>and
>created though a `conda create`) could reproduce the same analyses in
>their
>machine:
>
>https://docs.anaconda.com/anaconda/user-guide/tasks/using-r-language/
>
>https://richpauloo.github.io/2018-05-16-Installing-the-R-kernel-in-Jupyter-Lab/
>
>
>However, instead of using Jupyter Lab, I would like to use "RStudio
>Server"
>within my conda environment, but this is far more complicated, as I
>have
>not been able to install it in an easy way, so that, changing my conda
>environment, also changes my RStudio Server Environment:
>
>https://www.rstudio.com/products/rstudio/download-server/
>
>Anyone has any gess on how to do it?
>
>Thank you!
>
>Juan Telleria
>
>	[[alternative HTML version deleted]]
>
>______________________________________________
>R-help at r-project.org mailing list -- To UNSUBSCRIBE and more, see
>https://stat.ethz.ch/mailman/listinfo/r-help
>PLEASE do read the posting guide
>http://www.R-project.org/posting-guide.html
>and provide commented, minimal, self-contained, reproducible code.
-- 
Sent from my phone. Please excuse my brevity.

Solution:

https://github.com/grst/rstudio-server-conda

It works.

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