Getting an older version of a package
stephen sefick wrote:
if you are on a .nix then in a terminal move to the directory that contains the tar ball of the packages and type R CMD install foo.tar.bz
... same if you are on Windows (as it seems to be the case), but before, you need to install the tools mention in the manual R Installation and Administration. Uwe Ligges
hope this helps Stephen Sefick On Sun, May 24, 2009 at 5:50 PM, Le Wang <ruser.le at gmail.com> wrote:
Duncan Murdoch, Many thank you for your reply. I did try to download the older versions from CRAN. But I am not quite sure how to compile the source form. I tried using the option "install package(s) from local zip files" in R, but it didn't work. It simply gave the following msg
utils:::menuInstallLocal()
updating HTML package descriptions On Sun, May 24, 2009 at 4:36 PM, Duncan Murdoch <murdoch at stats.uwo.ca> wrote:
On 24/05/2009 4:00 PM, Le Wang wrote:
Hi there, Thanks for your time in advance. I am using an add-on package from Cran. After I updated this package, some of my programs don't work any more. I was wondering if there is anything like version control so that I could use the older version of that package; or if I could manually install the previous version and how I could acheive it? I am not a regular R user; although it is supposed to be very easy, after spending many hours on this, I still haven't figured out how to proceed. Your help will be greatly appreciated.
CRAN has the older versions of the package available in source form. You need to download one of those and install it: but watch out for other packages that depend on the newer one. In the long run, it's probably a better investment of your time to fix your programs to work with the new package. (Or possibly report to the package maintainer if they have introduced a bug.) Prior to R 2.9.0, it was possible to install multiple different versions of packages, but this never worked perfectly, and it has been dropped. Duncan Murdoch
______________________________________________ R-help at 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.