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: maj at waikato.ac.nz Fax 7 838 4155 Phone +64 7 838 4773 wk Home +64 7 825 0441 Mobile 021 1395 862
On Mon, 2008-03-03 at 10:52 +1300, Murray Jorgensen 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 JorgensenHi Murray, What is one person's "recommended" set might not correspond with the "recommended" set of another nor that of a third party. Grouping contributed packages into topics or themes might be a more appropriate classification, and to that end we have CRAN Task Views (thanks to Achim Zeileis and Kurt Hornik and their band of merry CTV-maintainers). There are some 15 of these views now available. Using the tools in the ctv package a user can install these groupings of packages. Do these Task Views meet, or go some way towards, your goal? See: http://cran.r-project.org/web/views/ HTH G -- %~%~%~%~%~%~%~%~%~%~%~%~%~%~%~%~%~%~%~%~%~%~%~%~%~%~%~%~%~%~%~%~%~%~% Dr. Gavin Simpson [t] +44 (0)20 7679 0522 ECRC, UCL Geography, [f] +44 (0)20 7679 0565 Pearson Building, [e] gavin.simpsonATNOSPAMucl.ac.uk Gower Street, London [w] http://www.ucl.ac.uk/~ucfagls/ UK. WC1E 6BT. [w] http://www.freshwaters.org.uk %~%~%~%~%~%~%~%~%~%~%~%~%~%~%~%~%~%~%~%~%~%~%~%~%~%~%~%~%~%~%~%~%~%~%
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 <maj at stats.waikato.ac.nz> 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: maj at waikato.ac.nz Fax 7 838 4155 > Phone +64 7 838 4773 wk Home +64 7 825 0441 Mobile 021 1395 862 > > ______________________________________________ > 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. >-- ==============================WenSui Liu ChoicePoint Precision Marketing Phone: 678-893-9457 Email : wensui.liu at choicepoint.com Blog : statcompute.spaces.live.com