Using the default setup and default python kernel, mounting your Google Drive in Colab is no problem. The mounted Drive provides endless functionality, and it drove me nuts trying to figure this out.Mounting your Drive is one of the key drivers for using Google Colab.Mounting your Drive only works in python runtimes.What would give one problems when running R in Colab: For many data science roles, you need to know both R and python.Numerous specialized statistical packages are built in R but not python.But, if you would like the notebook to be suitable for later local use or to ensure others can replicate your R code, you may want to just change the whole kernel to R but still use a browser-based cloud instance. As such, the R kernel is not the only way to use R in Colab. Keep in mind, R can be run in individual cells using rmagic functions. The full source code is uploaded to Github.
After working out a few kinks, I was able to successfully access my Google Drive file storage from a Google Colaboratory notebook file via an R kernel. It served as an inspiration and initial guide however, for me, it threw errors, which seem to be Colab versioning artifacts. This approach builds upon that of a previous Medium article, attached here.
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