Sorry, I am copying nothing from any folder to another folder, as per my message. I am surprise I was not clear enough.
I have my on bash script to make a clean installation from source, but I keep track of my bandwidth usage. So I try to make this stuff once in a time as when I upgrade my SO version or so... Don't forget that nowadays you may have to re-install trillions of packages just to make a median difference and plot it....... Anyway Thanks Jeff! Fer On 4/25/25 17:29, Jeff Newmiller via R-help wrote: > Don't copy installed packages. There are also periodically changes in the > compiler toolchain, and many packages have compiled code in them that can > misbehave if you mix old compiled code and new compiled code. The kinds of > errors you get can range from minor random answers to crashing R. > > The effort required to tiptoe around these problems is more than the benefit > of not having to re-install all of your packages. It may work once and the > next time you get weird answers that are hard to track down. Why live on the > edge? > > On April 25, 2025 1:53:28 PM PDT, Fer<farcego...@gmail.com> wrote: >> What about if there is only one folder for packages under 4.X... where >> any version of R $.X... would load from there the packages? >> >> Thanks >> >> Fer >> >> On 4/25/25 11:16, Peter Dalgaard via R-help wrote: >>> A couple of people have gotten themselves in trouble by copying the >>> contents of their 4.4 library folder into the 4.5 counterpart and running >>> update.packages(). >>> >>> That can be a really bad idea if the old library contains base packages >>> like "tools" or "utils". They don't live on CRAN, so update.packages() just >>> leaves them at the 4.4.x version. >>> >>> For instance,tools::md5sum has a new bytes= argument in 4.5.0 which gets >>> used when loading other packages, but that cannot work anymore. >>> >>> So copying library folders was probably never a good idea, but this time it >>> is a very, very bad idea. >>> >>> To avoid the problem, you can do something like this: >>> >>>> .libPaths() >>> [1] "/Library/Frameworks/R.framework/Versions/4.5-x86_64/Resources/library" >>>> tbl <- >>>> installed.packages("/Library/Frameworks/R.framework/Versions/4.4-x86_64/Resources/library") >>>> table(tbl[,"Priority"]) >>> base recommended >>> 14 15 >>>> pkglist <- rownames(tbl[is.na(tbl[,"Priority"]),]) >>> and then install.packages(pkglist) avoids touching the base/recommended >>> ones. >>> >>> - pd >>> >>> PS: On MacOS, I have two systems upgraded 4.4.x to 4.5.0. One of them has >>> tools in the 4.4 library and the other does not. I have no clue what the >>> difference might be.... >>> >> [[alternative HTML version deleted]] >> >> ______________________________________________ >> R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see >> https://stat.ethz.ch/mailman/listinfo/r-help >> PLEASE do read the posting guidehttps://www.R-project.org/posting-guide.html >> and provide commented, minimal, self-contained, reproducible code. [[alternative HTML version deleted]] ______________________________________________ R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide https://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.