Thanks to all of you, therefore if I got it well, I could also use the command
And, say, --max-mem-size=8G would work from outside R, to further increase the memory even if the machine is 6giga. I had an idea of that before, but I was not so sure! Many thanks again for all your advices. Best alessia 2010/1/12 Uwe Ligges <lig...@statistik.tu-dortmund.de>: > On 12.01.2010 21:07, Alexander Shenkin wrote: >> >> Hi Alessia, >> >> Note that, while your physical limit might be 6 GB, Windows memory >> management allows more memory than that to be allocated (aka Virtual >> Memory, or at least that's what they called it in XP). Windows swaps >> out memory from RAM to the hard disk and back when necessary (please >> excuse the explanation if you already know all this). For processing >> large vectors, this swapping might bring your system to a standstill. >> Regardless, the "maximum" memory for a windows process is larger than >> the physical RAM you have available. >> >> allie > > > In this case 6Gb was the default (as physical maximum in the particular > machine) and there was bug in the *experimental* version of R that did not > allow to increase memory size from within R using memory.limit() which > already has been fixed thanks to Brian Ripley. > > Uwe Ligges > > >> On 1/12/2010 6:27 AM, alessia matano wrote: >>> >>> Fine, it worked. I will try in this way. >>> >>> Just the last question and I won't bother you further today. My >>> machine right now has just 6 giga of RAM (it will be increased to 16 >>> in a few days), and I see that with this experimental version >>> memory.limit is 6135. >>> >>> How is the command to increase the memory usage until the maximum I >>> can (5 giga?). If I am writing memory.limit(5000) it still gives me >>> the error: >>> >>> don't be silly! Your machine has a 4Gb address limit >>> >>> which is quite odd. >>> >>> Many thanks >>> Best >>> A. >>> >>> 2010/1/12 alessia matano<alexis....@gmail.com>: >>> >>>> ok, perfect! >>>> I will try with it...many many thanks. Have you got there also the >>>> quantreg package, which has actually the same problem of sparseM >>>> (32bit version)? >>>> >>>> best >>>> alessia >>>> >>>> 2010/1/12 Uwe Ligges<lig...@statistik.tu-dortmund.de>: >>>> >>>>> >>>>> On 12.01.2010 12:09, alessia matano wrote: >>>>> >>>>>> I am sorry, I know it is an experimental version, and I have been >>>>>> misleading saying a new version. >>>>>> >>>>>> Therefore, I will wait for when they will be available officially, >>>>>> since it is just a few days. >>>>>> >>>>> Or just use today my private repository I indicated in the other mail. >>>>> >>>>> Uwe Ligges >>>>> >>>>> >>>>> >>>>>> However, I tried also to go to the cran pages and download them and >>>>>> insert into the library. For quantreg it worked, for sparseM it did >>>>>> not probably because it's a win32 version, as you said. >>>>>> >>>>>> >>>>>> >>>>>> 2010/1/12 Prof Brian Ripley<rip...@stats.ox.ac.uk>: >>>>>> >>>>>>> On Tue, 12 Jan 2010, alessia matano wrote: >>>>>>> >>>>>>> >>>>>>>> Dear all, >>>>>>>> >>>>>>>> I just download and set this new version of R. I am now trying to >>>>>>>> download the packages I need which are sperseM and quantreg. I >>>>>>>> downloaded and insert into the library file the quantreg pacjkage >>>>>>>> and >>>>>>>> it seems to work. However, when I try to do the same with sparseM I >>>>>>>> get the following error message: >>>>>>>> >>>>>>>> Loading required package: SparseM >>>>>>>> Error in inDL(x, as.logical(local), as.logical(now), ...) : >>>>>>>> unable to load shared library >>>>>>>> 'C:/PROGRA~1/R/R-211~1.0DE/library/SparseM/libs/SparseM.dll': >>>>>>>> LoadLibrary failure: %1 non è un'applicazione di Win32 valida. >>>>>>>> >>>>>>>> >>>>>>>> Any help for it? >>>>>>>> >>>>>>> Please do refer to the posting referred to in that thread (and >>>>>>> Henrique, >>>>>>> please do not post just the URL without the explanations). >>>>>>> >>>>>>> https://stat.ethz.ch/pipermail/r-devel/2010-January/056301.html >>>>>>> >>>>>>> You cannot mix 32-bit Windows binary packages with this experimental >>>>>>> port >>>>>>> (it is not a 'new version'): you need to install from the package >>>>>>> sources. >>>>>>> If that is too difficult for you, please do not try to use >>>>>>> unsupported >>>>>>> experimental builds (and Uwe Ligges may have some binary packages >>>>>>> available >>>>>>> for test in a few days). >>>>>>> >>>>>>> >>>>>>> >>>>>>>> Thanks a lot >>>>>>>> alessia >>>>>>>> >>>>>>>> 2010/1/11 Henrique Dallazuanna<www...@gmail.com>: >>>>>>>> >>>>>>>>> Try this version (beta of development version): >>>>>>>>> >>>>>>>>> http://www.stats.ox.ac.uk/pub/RWin/Win64/R-2.11.0dev-win64.exe >>>>>>>>> >>>>>>>>> On Mon, Jan 11, 2010 at 2:29 PM, alessia >>>>>>>>> matano<alexis....@gmail.com> >>>>>>>>> wrote: >>>>>>>>> >>>>>>>>>> Dear all, >>>>>>>>>> >>>>>>>>>> do you know if there is any particular version of R to implement >>>>>>>>>> with >>>>>>>>>> windows 64 bit, in such a way to increase the amount of memory it >>>>>>>>>> can >>>>>>>>>> use? >>>>>>>>>> >>>>>>>>>> How should I increase the memory, and more importantly to set a >>>>>>>>>> higher >>>>>>>>>> max vector size? It still stops me saying "Could not allocate >>>>>>>>>> vector >>>>>>>>>> of size 145" >>>>>>>>>> >>>>>>>>>> thanks to all >>>>>>>>>> alessia >>>>>>>>>> >>>>>>>>>> ______________________________________________ >>>>>>>>>> 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. >>>>>>>>>> >>>>>>>>>> >>>>>>>>> >>>>>>>>> >>>>>>>>> -- >>>>>>>>> Henrique Dallazuanna >>>>>>>>> Curitiba-Paraná-Brasil >>>>>>>>> 25° 25' 40" S 49° 16' 22" O >>>>>>>>> >>>>>>>>> >>>>>>>> ______________________________________________ >>>>>>>> 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, rip...@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 >>>>>>> >>>>>> >>>>> >>>> >>> ______________________________________________ >>> 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. > ______________________________________________ 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.
