mardones.p at gmail.com
Thu Nov 6 23:37:46 CET 2008
try prcomp instead of princomp
On Thu, Nov 6, 2008 at 3:20 PM, Lucke, Joseph F
<Joseph.F.Lucke at uth.tmc.edu> wrote:
> 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.
> -----Original Message-----
> From: r-help-bounces at r-project.org [mailto:r-help-bounces at r-project.org] On Behalf Of Noela Sánchez
> Sent: Thursday, November 06, 2008 1:10 PM
> To: stephen sefick
> Cc: r-help at 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 at gmail.com>
>> would you please provide a dummy example that explains your problem.
>> Then maybe I can help you.
>> On Thu, Nov 6, 2008 at 1:42 PM, Noela Sánchez <noesanchez at 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]]
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>> 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.
> Grupo de Recursos Marinos y Pesquerías
> Universidad de A Coruña
> [[alternative HTML version deleted]]
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