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 > > ________________________________ > > 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 > > -----BEGIN PGP SIGNED MESSAGE----- > Hash: SHA1 > > 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 > > - -- > - -------------------------------------------------------- > 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<http://enigmail.mozdev.org/> > > iEYEARECAAYFAklj9yAACgkQ9gTv6QYzVL6MGQCg1CHsRGAwEMah/8ZuZ9QFI6O5 > lcIAnjZ68DE9FABLMd07A3AfdMPRpXIH > =5bet > -----END PGP SIGNATURE----- > > ______________________________________________ > 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.
