Re: [Rd] 64 Bit

From: Prof Brian Ripley <ripley_at_stats.ox.ac.uk>
Date: Fri 22 Oct 2004 - 21:24:56 EST


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 weicht@mpimp-golm.mpg.de <mailto:weicht@mpimp-golm.mpg.de>
>
>
>
> __________________________________________________
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> [[alternative HTML version deleted]]
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-- 
Brian D. Ripley,                  ripley@stats.ox.ac.uk
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

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Received on Fri Oct 22 21:38:21 2004

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