On Thu, 5 Jan 2006, Simon Urbanek wrote: > Karen, > > On Jan 5, 2006, at 5:18 PM, <[EMAIL PROTECTED]> > <[EMAIL PROTECTED]> wrote: > >> I am trying to run a R script which makes use of the MCLUST package. >> The script can successfully read in the approximately 17000 data >> points ok, but then throws an error: >> -------------------------------------------------------- >> Error: cannot allocate vector of size 1115070Kb > > This is 1.1GB of RAM to allocate alone for one vector(!). As you > stated yourself the total upper limit is 2GB, so you cannot even fit > two of those in memory anyway - not much you can do with it even if > it is allocated.
Just in case people missed this (Simon as a MacOS user has no reason to know this), the Windows limit is in fact 3Gb if you tell your OS to allow it. (How is in the quoted rw-FAQ, Q2.9, and from 2.2.1 R will automatically notice this whereas earlier versions needed to be told.) However, there is another problem with a 32-bit OS: you can only fit 2 1.1Gb objects in a 3Gb address space if they are in specific positions, and fragmentation is often a big problem. I believe a 64-bit OS with 4Gb of RAM would handle such problems much more comfortably. The alternative is to find (or write) more efficient mixture-fitting software than mclust. -- 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-devel@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-devel
