Thanks Prof Brian for your answers, I have read about 'ref' package to work with more efficient memory work. Anybody know if this package could help me to work with a 700.000 x 10.000 matrix?
I will have problems with ref package on: - Limit of 2 Gb in R for Windows. -The maximum cells in one object 2*10^9 (aprox.) Thanks in advance, -- Ferran Carrascosa 2005/8/30, Prof Brian Ripley <[EMAIL PROTECTED]>: > On Mon, 29 Aug 2005, Ferran Carrascosa wrote: > > > Hi, > > > > I have a matrix with 700.000 x 10.000 cells with floating point data. > > I would like to work with the entire table but I have a lot of memory > > problems. I have read the ?memory > > I work with Win 2000 with R2.1.0 > > > > The only solution that I have applied is: > >> memory.limit(size=2048) > > > > But now my problems are: > > - I need to work with more than 2 Gb. How I can exceed this limit? > > Re-read the rw-FAQ, or (preferably) get a more capable OS on a 64-bit CPU. > > > - When apply some algorithms, the maximum cells in one object 2*10^9 > > (aprox.) is reached. > > You will never get that many cells (that is the address space in bytes, > and they are several bytes each). Please do as the posting guide asks > and report accurately what happened. > > > Please could you send me some advises/strategies about the work with > > large amount of data in R? > > > > R have a way to work with less memory needs? > > Your matrix has 7e09 cells (assuming you are using . as a thousands > separator) and needs 5.6e10 bytes to store. Your OS has a memory address > limit of 3.2e09 bytes. Don't blame R for being limited by your OS. > > -- > 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@stat.math.ethz.ch mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide! http://www.R-project.org/posting-guide.html