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.
