I am using the same get-em-all approach as yours. FYI. it is about 2G with all packages installed.
On Sun, Mar 2, 2008 at 4:52 PM, Murray Jorgensen <[EMAIL PROTECTED]> wrote: > Having just update to R 2.6.2 on my old Windows laptop I notice that the > number of packages is growing exponentially and my usual approach of > get-em-all may not be viable much longer. Has any thought been given to > dividing "contributed" binaries into a recommended set, perhaps a couple > of hundred, and the remained. That way one could install the recommended > ones routinely and add in the others as required. Any comments? > > Murray Jorgensen > > -- > Dr Murray Jorgensen http://www.stats.waikato.ac.nz/Staff/maj.html > Department of Statistics, University of Waikato, Hamilton, New Zealand > Email: [EMAIL PROTECTED] Fax 7 838 4155 > Phone +64 7 838 4773 wk Home +64 7 825 0441 Mobile 021 1395 862 > > ______________________________________________ > 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. > -- =============================== WenSui Liu ChoicePoint Precision Marketing Phone: 678-893-9457 Email : [EMAIL PROTECTED] Blog : statcompute.spaces.live.com ______________________________________________ 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.
