On 03.02.2012 13:34, Thomas Mang wrote:
Hi, Moving to a new computer (Windows 7) but for reasons of reproduceability I would seriously like to also install my present R 2.8.1 along with all extension packages on that machine as well (that is besides R 2.14.1). What's the best way of doing so? My idea is: Get the setup for 2.8.1 and install it; during install neither select 'save version number in registry' nor 'associate Rdata files' to keep the registry clean. Manually Copy the extenxion packages from my present machine to the lib folder of 2.8.1 That should mean 2.8.1 should run. Then install 2.14.1 and download most up-to-date versions of packages. How do i detect if packages were e.g. renamed or merged? Also manually copying my old packages to the lib dir and then running update.packages(checkBuilt=TRUE, ask=FALSE)? Will that work under these circumstances as well?
Yes. But you should not overwrite base packages.
To make things more complicated I am also using Rtools. Is it possible to have two parallel versions of Rtools? Sure I can install it but I suppose as it sets some PATH variables only one can actually only be active at a time. Hence it might be smarter to avoid installing Rtools for 2.8.1 alltogether, that is live without it (having enough troubles with running Rtools for one version alongside with MinGW as also the path to g++ can conflict ...)
You could write simple batch files that set the PATHS you need. E.g. wehn moving to the Windows shell, start with
R-2.8.1-settings.bat which contains code that sets the environment variables such as PATH appropriately.
Uwe Ligges
thanks, Thomas ______________________________________________ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
______________________________________________ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
