-----BEGIN PGP SIGNED MESSAGE----- Hash: SHA1 andrew wrote: > the SparseM package might be what you are looking for > > http://www.econ.uiuc.edu/~roger/research/sparse/SparseM.pdf > > On Jan 7, 11:36 am, Søren Højsgaard <soren.hojsga...@agrsci.dk> wrote: >> You can do >> mat[lower.tri(mat, diag=F)] >> Søren >>
Thanks, although my matrices are dense and not sparse. I have however, found the Matrix package: http://cran.r-project.org/web/packages/Matrix/index.html The dspMatrix class, seems like what I might want: dspMatrix - Symmetric real matrices in packed storage (one triangle only) I'm just trying to test it out with my usual 24k x 24k size matrices. >> ________________________________ >> >> Fra: r-help-boun...@r-project.org på vegne af Nathan S. Watson-Haigh >> Sendt: on 07-01-2009 01:28 >> Til: r-h...@r-project.org >> Emne: [R] Memory Efficiency of Symmetric Matrix >> > I'm generating a symmetric correlation matrix using a data matrix as input: > mat <- cor(data.mat) > > My question is: > Is there a more memory efficient way to store this data? For instance, since: > all(mat == t(mat)) > every value is duplicated, and I should be able to almost half the memory > usage for large matrices. > > Any thoughts/comments? > > Cheers, > Nathan > >> ______________________________________________ r-h...@r-project.org mailing listhttps://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guidehttp://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code. >> ______________________________________________ r-h...@r-project.org mailing listhttps://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guidehttp://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. - -- - -------------------------------------------------------- Dr. Nathan S. Watson-Haigh OCE Post Doctoral Fellow CSIRO Livestock Industries Queensland Bioscience Precinct St Lucia, QLD 4067 Australia Tel: +61 (0)7 3214 2922 Fax: +61 (0)7 3214 2900 Web: http://www.csiro.au/people/Nathan.Watson-Haigh.html - -------------------------------------------------------- -----BEGIN PGP SIGNATURE----- Version: GnuPG v1.4.9 (MingW32) Comment: Using GnuPG with Mozilla - http://enigmail.mozdev.org iEYEARECAAYFAklkF14ACgkQ9gTv6QYzVL7ppACbB7se5hh/q34nGz2k/IFj0Y8c 2F4AoMnv+BTGT333lpMFl56pZyczMCyf =PMQ5 -----END PGP SIGNATURE----- ______________________________________________ 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.
