Thanks juan, I got that, but what I have two matrices A and B, How can an svd be performed on the two together. Is it correct to get the covariance matrix and then perform the svd on the covariance matrix. If that is the case I have another doubt. I understand the covariance of A and B is t(A)%*%B. but this differs significantly from cov(A,B). Thanks nuncio
2011/4/4 Juan Carlos Borrás <jcbor...@gmail.com> > m <- matrix(c(1:12), nrow=3, ncol=4) > svd(m) > > > > On Mon, Apr 4, 2011 at 11:51 AM, nuncio m <nunci...@gmail.com> wrote: > > Dear list, > > I searched the libraries but could not find means to compute > the > > svd of a coupled field. Is it possible in R > > > > Thanks > > nuncio > > -- > > Nuncio.M > > Research Scientist > > National Center for Antarctic and Ocean research > > Head land Sada > > Vasco da Gamma > > Goa-403804 > > > > [[alternative HTML version deleted]] > > > > ______________________________________________ > > 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. > > > > > > -- > Cheers, > jcb! > _______________________ > http://twitter.com/jcborras > -- Nuncio.M Research Scientist National Center for Antarctic and Ocean research Head land Sada Vasco da Gamma Goa-403804 [[alternative HTML version deleted]]
______________________________________________ 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.
