On Tue, Oct 6, 2009 at 11:23 AM, Duncan Murdoch <murd...@stats.uwo.ca> wrote: > On 10/6/2009 10:34 AM, Jose Quesada wrote: >> >> Robert Wilkins <iwritecode2 <at> gmail.com> writes: >> >>> >>> Will R have more glitches on one operating system as opposed to >>> another, or is it pretty much the same? >>> >>> robert >>> >>> >> >> One important difference is that, if you are unsing large datasets and >> need >> memory, then windows is by far the worst. CRAN R is 32 bit and can only >> address 1.5 Gb of memory (or something similar; I >> don't really understand why). > > By default, 32 bit Windows only gives 2 Gb for all the user processes to > share, and saves the rest of memory for itself. You can change this (see > the Windows FAQ), but the most you'll ever get is 3 Gb in 32 bit Windows,
> _____and a bit under 4 Gb in 64 bit Windows.________ > That sounds incredible. ¿Why so? Kjetil > Duncan Murdoch > >> >> While there's a 64-bit version of R for windows (revolution-computing.com) >> I >> would advise against using it, for several reasons. While revolution has >> provided very nice packages to the community (e.g., foreach), the win-64 >> port as >> of today is certainly the worst platform to do work on. Reasons: >> (1) it's R 2.7.2 >> (2) Many important packages will never be ported >> (3) Some packages (particularly those depending on Rjava) would not work >> properly >> (4) There's a proprietary repository, where most packages are outrageously >> outdated. (5) Most help you find on R-help will not apply. Instead, you >> have 'paid' >> support. Said support is slow, and close to useless in most cases. >> (6) Packages that rely on external tools (e.g., mysql) will take a lot of >> work >> to get going. >> And of course, one have to pay for a yearly license, to have the privilege >> to >> work under the above conditions. >> >> If you need 64-bit right now, my advice is to switch to basically any >> other >> platform. >> >> Note: this may change any time, since they are working on a continuous >> build >> that will keep the releases in sync with mainstream R. >> >> Jose Quesada, PhD. >> Max Planck Institute, Human Development, Berlin >> http://www.josequesada.name/ >> >> ______________________________________________ >> 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. > > ______________________________________________ > 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. > ______________________________________________ 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.
