I use a Mac Pro as my primary workstation, and installing R packages is a snap. Just "R CMD INSTALL packagefoo.tar.gz" as usual, or use the stuff inside the R gui.
Tell her that the R gui (R.app) is really excellent, btw. Out of the box R doesn't do special stuff to use multiple processors, but there are various existing ways to get it to, and Grand Central Dispatch gives me optimism that even better multiproc support is around the corner. -Ken On 9/15/09 1:45 PM, "Milton Lopez" <[email protected]> wrote: > One of our researchers is considering replacing her Red Hat Linux > workstation with a Mac Pro. One of her concerns is being able to build R > libraries on the Mac. As an R-illiterate sysadmin I suspect this would > no more difficult on the Mac, but we would like to make sure. > > Also, some years ago I was told that R does not take advantage of > multiple processors. Has there been any improvement in that area? This > would have an impact on configuring the new system with more processors > vs. fewer but faster ones. > > Thanks in advance for your comments. > > > Milton F. Lopez > Inter-American Tropical Tuna Commission (IATTC) > 8604 La Jolla Shores Drive > La Jolla, CA 92037 - USA > [email protected] > www.iattc.org > > > > _______________________________________________ > R-lang mailing list > [email protected] > http://pidgin.ucsd.edu/mailman/listinfo/r-lang -- Ken Williams Sr. Research Scientist Thomson Reuters Phone: 651-848-7712 [email protected] _______________________________________________ R-lang mailing list [email protected] http://pidgin.ucsd.edu/mailman/listinfo/r-lang
