I once copied all the contrib package sources from CRAN to a local directory (I used an ftp client, but you could use rsync or wget : just don't do it recursively or you will get the Archive too) and ran
R CMD INSTALL *.tar.gz The only overhead in installing all packages at once is disc space: we seem to have 320Mb in R_HOME/library here. On Tue, 7 Oct 2003, Christian Hennig wrote: > Hi, > > I want R to be installed on a UNIX network (Solaris). I am not the system > administrator and so I cannot do it myself. > The system administrator wants to know which packages I want, and it may be > a lot. > Is there an easy way to download and install all packages at once? > Is it a good idea? (There is a good chance that I do not need the some > few packages that do not install well during such a procedure, and so I would > like to tell the sysadmin to do it even if it will not be 100% successful). > > Unfortunately it may be even more compicated, because it may be (I was not > able to find it out absolutely surely) that our net > architecture does not allow to do it via > install.packages from within R. So what is the easiest way to > do it from outside R? > > If it is not a good idea to install all packages > at once, what is the easiest way to > download and install a list of, say, 30 packages? R CMD INSTALL accepts a > list as input; but how to download a list of 30 packages at once? > > (The sysadmin would really appreciate if we could do it in a way that > later additions of packages are reduced to a minimum.) > > Best, > Christian > > > *********************************************************************** > Christian Hennig > Fachbereich Mathematik-SPST/ZMS, Universitaet Hamburg > [EMAIL PROTECTED], http://www.math.uni-hamburg.de/home/hennig/ > ####################################################################### > ich empfehle www.boag-online.de > > ______________________________________________ > [EMAIL PROTECTED] mailing list > https://www.stat.math.ethz.ch/mailman/listinfo/r-help > > -- Brian D. Ripley, [EMAIL PROTECTED] 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 ______________________________________________ [EMAIL PROTECTED] mailing list https://www.stat.math.ethz.ch/mailman/listinfo/r-help