

If you work with the same set of packages, you can install them automatically using the initialisation script.

The R language comes with several packages pre-installed, and you can always install additional ones using the Environment manager or install.packages( "package name") code. Publish static copies of notebooks and share them via link.Invite your team members to collaborate on code in real-time.Get smart code completion for R and Scala code.Create R 0.4.11 and Scala 2.12 notebooks.That’s why we added support for Scala and R kernels in Datalore, so now you can: R and Scala supportĪlthough Python is the most popular language in data science, R and Scala also do a great job for data science tasks and have a rich user community.

