In short, I want to update R and RStudio without making my RMarkdown scripts no longer reproducible.
My main problem seems to be that packages must be updated when you install a new version of R. I have read about the renv package for dealing with keeping track of different packages across projects, but I am not sure how this will cope with a new version of R. I also can't work out how renv deals with different versions of the same package if it points to a shared cache across project libraries (e.g. if two projects use different versions of dplyr but both point to the same cache).
I have also looked into Docker, but can't find anything that explains it at the right level for me and shows how it works in practice.
- I am working on my own private computer as opposed to a shared server
- Current version of R = 3.6.1 (2019-07-05)
- Current version of RStudio = 1.2.1541
- I mostly work using RStudio projects and create RMarkdown scripts
Does anyone have advice on what I should do here? Furthermore, what order would be best?
If I were to try now, I would use renv to create snapshots all of my project libraries, get that on Github, then install the new version of R, followed by the new version of RStudio.