[R] R for Windows 32-bit mode versus 64-bit mode
Prof Brian Ripley
ripley at stats.ox.ac.uk
Thu Feb 7 08:55:04 CET 2013
On 06/02/2013 22:47, Roy Mendelssohn - NOAA Federal wrote:
> Hi All:
> We are developing (actually updating) a piece of code that runs in
Due to some limitations of some the libraries we use, at the present
time we would be limited to the 32-bit version of R on Windows. Does
anyone have a feel (or even real knowledge) if most people these days
run R on Windows in 32-bit or 64-bit mode? This would affect some
'Most people' is maybe not the right question.
A very high proportion of serious users run 64-bit Windows and 64-bit R
on that. But there are still many old computer labs in Universities all
over the world used by very many students, and companies still using XP
(which is 32-bit only: the so-called 64-bit XP was internally Server 2003).
OTOH, the standard install has both 32- and 64-bit versions of R on
64-bit Windows so almost all users would have the option to start 32-bit R.
As an aside, the Mac situation is changing: OS X has been a 64-bit OS
for ca 5 years now and it is likely that CRAN binaries for 3.0.0 will be
64-bit only there.
> -Roy M.
> "The contents of this message do not reflect any position of the U.S. Government or NOAA."
> Roy Mendelssohn
> Supervisory Operations Research Analyst
> Environmental Research Division
> Southwest Fisheries Science Center
> 1352 Lighthouse Avenue
> Pacific Grove, CA 93950-2097
> e-mail: Roy.Mendelssohn at noaa.gov (Note new e-mail address)
> voice: (831)-648-9029
> fax: (831)-648-8440
> www: http://www.pfeg.noaa.gov/
> "Old age and treachery will overcome youth and skill."
> "From those who have been given much, much will be expected"
> "the arc of the moral universe is long, but it bends toward justice" -MLK Jr.
> R-help at r-project.org mailing list
> PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
> and provide commented, minimal, self-contained, reproducible code.
Brian D. Ripley, ripley at 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
More information about the R-help