Jupyter+R:
RStudio:
RShiny:
Binder supports using R and RStudio, with libraries pinned to a specific snapshot on packagemanager.rstudio.com.
You need to have a runtime.txt file that is formatted like:
r-<r-version>-<YYYY>-<MM>-<DD>
where <r-version> is a version of R (like 4.1, 4.0, etc) you want to use,
and <YYYY>-<MM>-<DD> is the date for a snapshot
from packagemanager.rstudio.com that will
be used for installing your R packages.
Try using a date newer than 2022-01-01, as you'll get faster
package installs thanks to binary packages
from rstudio.packagemanager.com!
To install R libraries, add install.package("<package-name>") calls to
install.R. If you want to pin to a specific version of the library, you
can also do devtools::install_version("<package-name>", "<version>").
For some R packages, you might need to install system packages via apt - you can
do so by writing out a list of apt package names in apt.txt. You can find
the list of such packages in the page for your package at
packagemanager.rstudio.com. Make sure
to select "Ubuntu 22.04 (Jammy)" in the dropdown on the top right.
Both RStudio and IRKernel are installed by default, so you can use either the Jupyter notebook interface or the RStudio interface.
This repository also contains an example of a Shiny app.