Question regarding different R versions on an enterprise network server
Hi all, I represent R users vs. IT dept. at my workplace (yes, an enviable task :) We've managed to get a workable network-based R application, for people who work remotely, or don't have a machine (i.e., they use a VDI terminal). Everything in this organization is staunchly Windows and Microsoft. We've agreed to upgrade only once yearly, to save IT resources. Now we're upgrading, and I would like users to be able to keep their old R 3.1.0 directory trees like it's available on a single Windows machine. At least for a few months, so that people can evaluate back-compatibility if they need. In fact, we have an even older server-based 3.0.1, which happens to be the only R version for which the Tableaux-R connection works (at least according to my colleagues, I don't use Tableaux). Anyway, long story short. That was just the motivating example. The problem I'm dealing with is whether a network application that has several versions of R (3.1.z, 3.2.z), etc., all available, and each reading and installing libraries to a different folder tree. The libraries right now are installed into each user's "personal" share drive. It's pretty stable. However, obviously the 3.2.z libraries will now overwrite the 3.1.z. My IT contact says it's impossible, because the Windows app name is always just Rgui.exe, and they can only have one set of instructions associated with the same app name (i.e., what folders to go to, etc.) I wonder whether anyone has had experience with this, or I should just give up and alert people that if they want to explore various historical layers of R and the associated packages, they will have to work around and/or install and uninstall lots of packages each time. Thanks! Assaf
Assaf P. Oron, Ph.D. Senior Statistician, Children's Core for Biomedical Statistics (206)884-1236, assaf.oron at seattlechildrens.org ------------ Consulting statistician, Seattle DEEDS Project http://www.duwamishdiesel.org/ Instructor, UW Certificate for Statistical Analysis with R assaf at uw.edu [[alternative HTML version deleted]]