Please read the R FAQ, which does cover this. You need to distinguish 64-bit OSes from 64-bit hardware (`computers').
R builds on least for the `native' Unix on Alpha, Sparc, HPPA and MIPS processors (for the last several years each), AIX on PowerPC, Linux on ia64 (Itanium), x86_64 (aka AMD64 and EM64T etc) and most of these. In most cases it runs under 32-bit and 64-bit versions of the OSes on those 64-bit hardware. R does not run under (beta) 64-bit Windows on x86_64 and we have no plans to port it there, but it does run under 32-bit Windows on that processor. I am sure it will run on several 64-bit operating systems on Apple Macintosh's so-called G5 hardware -- I believe we have seen a report that includes an in-progress version of MacOS 10.4 -- and also several 32-bit ones. If you want a prebuilt version you are out of luck except for Debian Linux on Alpha or ia64, from a quick glance. Many of us, including several of the core team, use 64-bit Linux on x86_64 as our main computer-intensive resource. Please using single spacing, not *quadruple* spacing and a reasonable line length, and do not include HTML as the posting guide asks. BDR On Fri, 22 Oct 2004, Daniel Weicht wrote: > Hello everybody! > > [next para wrapped by BDR] > We at the Max Planck Society of Molecular Plant Physiologie want to > know, if there is R version available for a 64 bit computer. If yes for > which processor an amd or for a 64 bit Mac > > > > Thanks a lot > > > > Daniel > > > > ____________________________________________________ > > > > Daniel Weicht > > > > Max Planck Institute of Molecular Plant Physiology > > > > Am Mühlenberg 1 > > > > 14476 Golm, Germany > > > > Phone +49 331 567 8277 > > > > e-mail [EMAIL PROTECTED] <mailto:[EMAIL PROTECTED]> > > > > __________________________________________________ > > > > > [[alternative HTML version deleted]] > > ______________________________________________ > [EMAIL PROTECTED] mailing list > https://stat.ethz.ch/mailman/listinfo/r-devel > > -- Brian D. Ripley, [EMAIL PROTECTED] 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 ______________________________________________ [EMAIL PROTECTED] mailing list https://stat.ethz.ch/mailman/listinfo/r-devel
