Choose R version for one specific project

[jcblum]

Are you using RStudio Desktop, or RStudio Server? Project-specific R versions are a feature of RStudio Server Pro (see: https://support.rstudio.com/hc/en-us/articles/212364537-Using-multiple-versions-of-R-with-RStudio-Server-Pro).

As far as I know, RStudio Desktop can only use one version of R at a time. How this works is dependent to some extent on your operating system. See: https://support.rstudio.com/hc/en-us/articles/200486138-Changing-R-versions-for-RStudio-desktop

Another option might be setting up a Docker/rocker container for that project. There’s some useful discussion of Docker and R here:

Containers and R

There is a lot going on with R and Docker. It seems to me that it is widely used especially in a development workflow for testing. It is also used for reproductible reseach, for in R in production... Here are some useful ressources that could help : A blog post on R developpement with docker for testing http://www.jimhester.com/2017/10/13/docker/ Another blog post on beggining with travis that use docker in the background https://juliasilge.com/blog/beginners-guide-to-travis/ The most important to know is the rocker project where you'll find some containers with R in different configuration https://github.com/rocker-org https://hub.docker.com/u/rocker/ http://dirk.eddelbuettel…

Resources for new R admins

docker has a lot of semantics that make it much more lightweight than a virtual machine. This makes it very nice for the type of throw-away exploration that @snkfischer is talking about (or microservices, etc.). It also does not have its own kernel (it uses the host machine's kernel), which makes images much less resource-intensive, starts up quicker, etc. On a typical workstation, a few VMs will cripple the host machine's resources because you are running several operating systems concurrently (and lots of overhead with it). With Docker, it's way easier to run a whole bunch of containers concurrently without resource issues, and it pretends to have a separate operating system, so you st…