Message-ID: <200510052040.j95KeS2v008885@compton.gene.com>
Date: 2005-10-05T20:40:28Z
From: Bert Gunter
Subject: pca in dimension reduction
In-Reply-To: <cdf817830510051226w11eafc43v47c573e94223f6c7@mail.gmail.com>
?princomp ?prcomp give examples
-- Bert Gunter
Genentech Non-Clinical Statistics
South San Francisco, CA
"The business of the statistician is to catalyze the scientific learning
process." - George E. P. Box
> -----Original Message-----
> From: r-help-bounces at stat.math.ethz.ch
> [mailto:r-help-bounces at stat.math.ethz.ch] On Behalf Of Weiwei Shi
> Sent: Wednesday, October 05, 2005 12:27 PM
> To: r-help
> Subject: [R] pca in dimension reduction
>
> Hi, there:
> I am wondering if anyone here can provide an example using pca doing
> dimension reduction for a dataset.
> The dataset can be n*q (n>=q or n<=q).
>
> As to dimension reduction, are there other implementations
> for like ICA,
> Isomap, Locally Linear Embedding...
>
> Thanks,
>
> weiwei
>
> --
> Weiwei Shi, Ph.D
>
> "Did you always know?"
> "No, I did not. But I believed..."
> ---Matrix III
>
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