Already then, thank you everyone. This information was extremly useful, and I'll do a better job on the web next time.
On Sun, May 20, 2012 at 2:10 PM, Prof Brian Ripley <rip...@stats.ox.ac.uk>wrote: > On 20/05/2012 18:42, jim holtman wrote: > >> At the point in time that you get the error message, how big are the >> objects that you have in memory? What does 'memory.size()' show as >> being used? What does 'memory.limit()' show? Have you tried using >> 'gc()' periodically to do some garbage collection? It might be that >> you memory is fragmented. You need to supply some additional >> information. >> > > Either this is a 32-bit version of R in which case the wrong version is > being used, or your advice is wrong: there are no credible fragmentation > issues (and no need to use gc()) on a 64-bit build of R. > > But, we have a posting guide, we require 'at a minimum information', and > the OP failed to give it to us so we are all guessing, completely > unnecessarily. > > > >> On Sun, May 20, 2012 at 12:09 PM, Emiliano Zapata<ezapata...@gmail.com> >> wrote: >> >>> ---------- Forwarded message ---------- >>> From: Emiliano Zapata<ezapata...@gmail.com> >>> Date: Sun, May 20, 2012 at 12:09 PM >>> Subject: >>> To: R-help@r-project.org >>> >>> >>> Hi, >>> >>> I have a 64 bits machine (Windows) with a total of 192GB of physical >>> memory >>> (RAM), and total of 8 CPU. I wanted to ask how can I make R make use of >>> all >>> the memory. I recently ran a script requiring approximately 92 GB of >>> memory >>> to run, and got the massage: >>> >>> cannot allocate memory block of size 2.1 Gb >>> >>> >>> >>> I read on the web that if you increase the memory you have to reinstall >>> R; >>> would that be enough. Could I just increase the memory manually. >>> >>> >>> Take you for any comments, or links on the web. >>> >>> >>> EZ >>> >>> [[alternative HTML version deleted]] >>> >>> ______________________________**________________ >>> R-help@r-project.org mailing list >>> https://stat.ethz.ch/mailman/**listinfo/r-help<https://stat.ethz.ch/mailman/listinfo/r-help> >>> PLEASE do read the posting guide http://www.R-project.org/** >>> posting-guide.html <http://www.R-project.org/posting-guide.html> >>> and provide commented, minimal, self-contained, reproducible code. >>> >> >> >> >> > > -- > Brian D. Ripley, rip...@stats.ox.ac.uk > Professor of Applied Statistics, > http://www.stats.ox.ac.uk/~**ripley/<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 > [[alternative HTML version deleted]] ______________________________________________ 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.
