Thanks, I got to do it.,
2008/11/6 Pedro Mardones <[EMAIL PROTECTED]> > try prcomp instead of princomp > > On Thu, Nov 6, 2008 at 3:20 PM, Lucke, Joseph F > <[EMAIL PROTECTED]> wrote: > > Neola > > I'm a bit rusty on this, but I believe you can conduct on singular-value > decomposition on the 436 by 518 matrix. The squares of your singular values > (max of 436, 518-436 will be zero) will be your eigenvalues, the same as in > the PC analysis. The post-eigenvectors will be your components. As I have > said, my knowledge is not completely trustworthy at this point, but SVD > would be worth looking into. > > Joe > > > > -----Original Message----- > > From: [EMAIL PROTECTED] [mailto:[EMAIL PROTECTED] > On Behalf Of Noela Sánchez > > Sent: Thursday, November 06, 2008 1:10 PM > > To: stephen sefick > > Cc: r-help@r-project.org > > Subject: Re: [R] PCA > > > > My matrix have 436 registers and 518 variables. I need to do a PCA > analyst. > > > > Usually I use princomp command to perform PCA analyst, but this time i > can't because of my variables are more than my registers. > > > > 2008/11/6 stephen sefick <[EMAIL PROTECTED]> > > > >> would you please provide a dummy example that explains your problem. > >> Then maybe I can help you. > >> thanks > >> > >> Stephen > >> > >> On Thu, Nov 6, 2008 at 1:42 PM, Noela Sánchez <[EMAIL PROTECTED]> > wrote: > >> > I need perform PCA analyst with a matrix with more variables than > units. > >> > > >> > The princomp command don't match with this matrix. > >> > > >> > Anybody knows a good command to do it? > >> > > >> > -- > >> > Noela > >> > > >> > [[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<http://www.r-project.org/posting-guide.html> > <http://www.r-project.org/p > >> osting-guide.html> > >> > and provide commented, minimal, self-contained, reproducible code. > >> > > >> > >> > >> > >> -- > >> Stephen Sefick > >> Research Scientist > >> Southeastern Natural Sciences Academy > >> > >> Let's not spend our time and resources thinking about things that are > >> so little or so large that all they really do for us is puff us up and > >> make us feel like gods. We are mammals, and have not exhausted the > >> annoying little problems of being mammals. > >> > >> -K. > >> Mullis > >> > > > > > > > > -- > > Noela > > Grupo de Recursos Marinos y Pesquerías > > Universidad de A Coruña > > > > [[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<http://www.r-project.org/posting-guide.html> > > and provide commented, minimal, self-contained, reproducible code. > > > -- Noela Grupo de Recursos Marinos y Pesquerías Universidad de A Coruña [[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.
