On behalf of those of us trapped in 32-bit windows worlds. Thanks to Brian and the others that work on the windows port of R for the great tool and for pushing the boundaries of microsoft. Know that your efforts are appreciated even if we don't say Thank You often enough.
-- Gregory (Greg) L. Snow Ph.D. Statistical Data Center Intermountain Healthcare [EMAIL PROTECTED] (801) 408-8111 > -----Original Message----- > From: [EMAIL PROTECTED] > [mailto:[EMAIL PROTECTED] On Behalf Of Prof Brian Ripley > Sent: Friday, November 16, 2007 11:47 PM > To: sj > Cc: r-help > Subject: Re: [R] analysis of large data set > > On Fri, 16 Nov 2007, sj wrote: > > > All, > > > > I am working with a large data set (~ 450,000 rows by 34 > columns) I am > > trying to fit a regression model (I have tried to use several > > procedures psm (Design package) lm, glm). However whenever I try to > > fit the model I get the following error: > > > > > > Error: cannot allocate vector of size 1.1 Gb > > > > Here are the specs of the machine and version of R I am using > > > > Windows Server 2003 R2 Enterprise x64 Service Pack 2 > > > > Intel Pentium D 3.00 Ghz > > 3.93 GB Ram > > > > R 2.6.0 > > > > when I type the command > > > > memory.limit() > > I get: > > 3583.875 > > > > I assume that means that I have about 3.5 GB at my disposal > so I am > > confused why I can't allocate a vector of 1.1 GB. Any > suggestions on > > what to do. > > See ?"Memory-limits", which explains this in detail. > > What is strange is that no one has ever thanked us for > finding out (despite most Microsoft documentation) that you > can get up to 3.5Gb in a 32-bit process on certain 64-bit > versions of Windows and enabling you to use it in recent > versions of R. > > -- > 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 > > ______________________________________________ > 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.
