Thanks, I got to do it.,



2008/11/6 Pedro Mardones <mardones.p@gmail.com>

> try prcomp instead of princomp
>
> On Thu, Nov 6, 2008 at 3:20 PM, Lucke, Joseph F
> <Joseph.F.Lucke@uth.tmc.edu> 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: r-help-bounces@r-project.org [mailto:r-help-bounces@r-project.org]
> 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 <ssefick@gmail.com>
> >
> >> 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 <noesanchez@udc.es>
> 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

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