[R] Installing R with all packages

[Prof Brian Ripley]

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
> hennig at math.uni-hamburg.de, http://www.math.uni-hamburg.de/home/hennig/
> #######################################################################
> ich empfehle www.boag-online.de
> 
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> 
> 

-- 
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