Dear R-users, what is the most easiest way to download old versions of R and it's packages. I have found some functions, but none of them have worked. How to use the Archieve for this purpose. I would like to have detailed instructions for Ubuntu and Mac. Thank you, with best regards Ville Hallikainen
Please unsubscribe me from the r-help list Thanks, Lakshmi On Sat, May 17, 2014 at 10:43 AM, Ville Hallikainen < ville.o.hallikainen@gmail.com> wrote:> Dear R-users, > what is the most easiest way to download old versions of R and it's > packages. I have found some functions, but none of them have worked. How to > use the Archieve for this purpose. I would like to have detailed > instructions for Ubuntu and Mac. > > Thank you, with best regards Ville Hallikainen > > ______________________________________________ > 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. >[[alternative HTML version deleted]]
On 17/05/2014 15:43, Ville Hallikainen wrote:> Dear R-users, > what is the most easiest way to download old versions of R and it's > packages. I have found some functions, but none of them have worked. How > to use the Archieve for this purpose. I would like to have detailed > instructions for Ubuntu and Mac.So please follow the posting guide and ask on R-sig-debian and R-sig-mac respectively. The 'detailed instructions' are in the 'R Installation and Administration Manual' for the version(s) of R you want. The 'easiest way' is to retrieve them from your personal backups (and the only reason I can guess for wanting to do this is to reproduce old work using tools you once had). Older OS X binary R distributions are available at http://cran.r-project.org/bin/macosx/old/ . Only current (at the end of the R series) binary packages are available on CRAN, so older ones would need to be installed from the sources under src/contrib/Archive, following the instructions in the manual. -- Brian D. Ripley, ripley at stats.ox.ac.uk Professor of Applied Statistics, http://www.stats.ox.ac.uk/~ripley/ University of Oxford, Tel: +44 1865 272861 (self) 1 South Parks Road, +44 1865 272866 (PA) Oxford OX1 3TG, UK Fax: +44 1865 272595