>>>>> "am" == alessia matano <alexis....@gmail.com> >>>>> on Mon, 11 Jan 2010 15:38:39 +0100 writes:
am> Many thanks for your suggestions, am> fortunately when I closed R and opeedn it again, it did not give again am> that error. However, now there is something more strange happening, am> related again to sparse matrix, and I am afraid it could concern am> memory problems (I put 4000 of memory limit). am> I am defining a matrix where I have nrow=113289, ncol=36698 such as: am> D<- as.matrix.csr(0, nrow, ncol) am> Error in if (length(x) == nrow * ncol) x <- matrix(x, nrow, ncol) else { : am> missing value where TRUE/FALSE needed am> In addition: Warning message: am> In nrow * ncol : NAs produced by integer overflow am> With reduced number of rows and columns it worked, so I am wondering am> wether it is a problem of memory. It's not; rather a "trap" that the programmers of SparseM fell into (I did too, in the past): Your nrow and ncol are so large that nrow * ncol is larger than R's maximal integer, ( == .Machine$integer.max which is 2^31 - 1 on all current versions of R) and so overflows to NA and such leads to the "missing value" warning you see. am> My pc has 6gb of nmemory, and it is am> 64-bit windows system, but R reads only 4 has capacity. am> Thanks for your help am> alessia As a side note: As co-author of R package 'Matrix' in to which we have put a large amount of work and which is nowadays a recommended package (i.e., also part of every R distribution), I do wonder why you don't use 'Matrix' for sparse matrix computing in R. Best regards, Martin Maechler, ETH Zurich am> 2010/1/11 David Winsemius <dwinsem...@comcast.net>: >> >> On Jan 11, 2010, at 7:55 AM, Peter Ehlers wrote: >> >>> Do you have the same problem with the example >>> on the help page? >>> >>> ?'%x%-methods' >>> >>> Works for me on Windows Vista (32-bit OS) and >>> R version 2.10.1 Patched (2010-01-05 r50896). >>> >>> -Peter Ehlers >>> >>> alessia matano wrote: >>>> >>>> Dear all, >>>> I just installed the new version of R, 2.10.1, and I am currently >>>> using the package sparseM. (I also use a 64 bit windows version) >> >> SparseM >> >>>> I got a problem that I never had: when I try to multiply with a >>>> kronecker product (%x%) two sparse matrixes I get the following >>>> message: >>>> Error in dim(x) <- length(x) : invalid first argument >>>> I never had this problem with previous versions of R. >> >> I get the same error as you do when trying the example on the cited help >> page using SparseM 0.83 in a 64 bit Mac version of 2.10.1 >> >>> A.csr %x% matrix(1:4,2,2) >> Error in dim(x) <- length(x) : invalid first argument >> >>> sessionInfo() >> R version 2.10.1 RC (2009-12-09 r50695) >> x86_64-apple-darwin9.8.0 >> >> locale: >> [1] en_US.UTF-8/en_US.UTF-8/C/C/en_US.UTF-8/en_US.UTF-8 >> >> attached base packages: >> [1] grid splines stats graphics grDevices utils datasets >> methods base >> >> other attached packages: >> [1] SparseM_0.83 Matrix_0.999375-32 Epi_1.1.10 plotrix_2.7-2 >> ROCR_1.0-4 >> [6] gplots_2.7.4 caTools_1.10 bitops_1.0-4.1 gdata_2.6.1 >> gtools_2.6.1 >> [11] lattice_0.17-26 Design_2.3-0 Hmisc_3.7-0 >> survival_2.35-7 >> >> loaded via a namespace (and not attached): >> [1] cluster_1.12.1 tools_2.10.1 >> >> >> >>>> May you help me? >>>> thanks >>>> alessia >>>> ______________________________________________ >>> >>> -- >>> Peter Ehlers >>> University of Calgary >>> 403.202.3921 >>> >>> ______________________________________________ >> >> David Winsemius, MD >> Heritage Laboratories >> West Hartford, CT >> >> am> ______________________________________________ am> R-help@r-project.org mailing list am> https://stat.ethz.ch/mailman/listinfo/r-help am> PLEASE do read the posting guide http://www.R-project.org/posting-guide.html am> 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.