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Specifying an R environment with a runtime.txt file

  • Jupyter Notebook + R: Binder
  • RStudio: Binder

Binder supports using R and RStudio, with libraries pinned to a specific snapshot on packagemanager.rstudio.com.

Requirements and suggestions

Create/Edit runtime.txt

You need to create or edit runtime.txt file that is located in the binder folder and 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!

(Pre-)Install packages

To install R libraries, add install.package("<package-name>") calls to install.R located in the binder folder. 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 18.04 (Bionic)" in the dropdown on the top right.

URL addresses for RStudio and Shiny environments

The Binder repository can be used to allow anyone to access an RStudio environment containing our code and data right in their web browser. It also allows hosting a Shiny app. For those purposes, we have to append a bit of text to the URL of our Binder repository, which we can find out at mybinder.org when we enter the URL of our original repository from GitHub or Figshare, etc.

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