Dear all, Thank you by your attention.
1) I'm using a Core 2 Duo CPU with 2MB physical memory and Windows Vista 2) The main function, that´s causing the error, is embedd(x=data,d,t). 3) The time series that i´m using has 1.000.000 observations of real numbers. 4) Sometimes the function works, sometimes, not. Some things i´m doing: 1) I have put x <- NULL and gc() in the end of each memory-intensive routine (embedding), to release memory. 2) I installed Ubuntu linux in the same machine and will try the same routine. "Efective men use Unix" :) And my plans to the future: 3) If this not work, i will try to rewrite the code to reduce memory requirements. 4) If this not work, i will try to parallelize the code, by using snow ou Rmpi, something like this. 5) If this not work, i will try to use a cluster, with sufficient memory to let this work. Any suggestions? Many thanks. Regards, jamaj 2008/7/21, Prof Brian Ripley <[EMAIL PROTECTED]>: > On Mon, 21 Jul 2008, Uwe Ligges wrote: > > > Several questions: > > > > - Before we go ahead: Are you sure 3 Gb are sufficient for your problem? > > - Which OS (I guess Windows)? > > > > (The only platform on which these functions are supported.) > > > - Which version of R (let's assume R-2.7.1)? > > - Is your Windows 3GB enabled in the boot flags, or is it a 64-bit version > of Windows? > > > > (No, or the default memory limit would be higher than 1.5Gb. R by default > uses as high a memory limit as is sensible if (as here) the address space is > the limiting factor.) > > > > > > > > Best wishes, > > Uwe Ligges > > > > > > > > José Augusto Jr. wrote: > > > > > Please, > > > > > > I have a 2GB computer and a huge time-series to embedd, and i tried > > > increasing memory.limit() and memory.size(max=TRUE), but nothing. > > > > > > Just before the command: > > > > > > > > > > memory.size(max=TRUE) > > > > > > > [1] 13.4375 > > > > > > > memory.limit() > > > > > > > [1] 1535.875 > > > > > > > gc() > > > > > > > used (Mb) gc trigger (Mb) max used (Mb) > > > Ncells 209552 5.6 407500 10.9 350000 9.4 > > > Vcells 125966 1.0 786432 6.0 496686 3.8 > > > > > > > > > I increased the memory limit: > > > > > > > > > > memory.limit(3000) > > > > > > > NULL > > > > > > > memory.limit() > > > > > > > [1] 3000 > > > > > > > memory.size() > > > > > > > [1] 11.33070 > > > > > > > memory.size(max=TRUE) > > > > > > > [1] 13.4375 > > > > > > > gc() > > > > > > > used (Mb) gc trigger (Mb) max used (Mb) > > > Ncells 209552 5.6 407500 10.9 350000 9.4 > > > Vcells 125964 1.0 786432 6.0 496686 3.8 > > > > > > > > > And even trying to increase the memory.limits, i still get and error. > > > > > > Any sugestions? > > > > > > > > > Thanks in advance. > > > > > > jama > > > > > > ______________________________________________ > > > 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. > > > > > > -- > 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.