Hi James,
Have a look at Cadima et al.'s subselect package [Cadima worked with/was a
student of Prof Jolliffe, one of _the_ experts on PCA; Jolliffe devotes part
of a Chapter to this question in his text (Principal Component Analysis,
pub. Springer)]. Then you should look at psychometric stuff:
-Original Message-
From: [EMAIL PROTECTED]
[mailto:[EMAIL PROTECTED] On Behalf Of Mark Difford
Sent: Monday, July 02, 2007 1:55 PM
To: r-help@stat.math.ethz.ch
Subject: Re: [R] Question about PCA
On Mon, 02-Jul-2007 at 03:16PM -0400, Ravi Varadhan wrote:
| Mark,
|
| What you are referring to deals with the selection of covariates, since PC
| doesn't do dimensionality reduction in the sense of covariate selection.
| But what Mark is asking for is to identify how much each data point
|
PROTECTED]
Sent: Monday, July 02, 2007 4:23 PM
To: Ravi Varadhan
Cc: 'Mark Difford'; r-help@stat.math.ethz.ch
Subject: Re: [R] Question about PCA with prcomp
On Mon, 02-Jul-2007 at 03:16PM -0400, Ravi Varadhan wrote:
| Mark,
|
| What you are referring to deals with the selection of covariates, since
:55 PM
To: r-help@stat.math.ethz.ch
Subject: Re: [R] Question about PCA with prcomp
Hi James,
Have a look at Cadima et al.'s subselect package [Cadima worked with/was a
student of Prof Jolliffe, one of _the_ experts on PCA; Jolliffe devotes
part
of a Chapter to this question in his text
to think about
it.
Bill Venables.
-Original Message-
From: [EMAIL PROTECTED]
[mailto:[EMAIL PROTECTED] On Behalf Of Ravi Varadhan
Sent: Monday, 2 July 2007 1:29 PM
To: 'Patrick Connolly'
Cc: r-help@stat.math.ethz.ch; 'Mark Difford'
Subject: Re: [R] Question about PCA with prcomp
'
Subject: Re: [R] Question about PCA with prcomp
The PCs that are associated with the smaller eigenvalues.
---
Ravi Varadhan, Ph.D.
Assistant Professor, The Center on Aging and Health
Division
