Hi, I'd like to store large covariance matrices using Matrix classes.
dsyMatrix seems like the right one, but I want to specify just the upper/lower triangle and diagonal and not have to instantiate a huge n^2 vector just for the sake of having half of it ignored: Dumb example: M <- new("dsyMatrix", uplo="U", x=rnorm(1e4), Dim=as.integer(c(100, 100))) diag(M) <- 1 This doesn't work: M <- new("dsyMatrix", uplo="U", x=0, Dim=as.integer(c(100, 100))) Error in validObject(.Object) : invalid class "dsyMatrix" object: length of x slot != prod(Dim) Is there an easier way of doing this? Thanks, Gad -- Gad Abraham PhD Student, Dept. CSSE and NICTA The University of Melbourne Parkville 3010, Victoria, Australia email: gabra...@csse.unimelb.edu.au web: http://www.csse.unimelb.edu.au/~gabraham ______________________________________________ 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.