From: Ryan Austin <austin_at_botany.utoronto.ca>

Date: Fri 13 Oct 2006 - 21:33:33 GMT

R-help@stat.math.ethz.ch 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. Received on Sat Oct 14 07:45:19 2006

Date: Fri 13 Oct 2006 - 21:33:33 GMT

Thanks for the thought in any case Mark. Your right about the brute force. I'll expand a bit with an example though for the sake of clarity.

Given a correlation matrix of 4 covariates ABCD with distances of: AB=0.2; AC=0.6; AD=0.3 ; BC=0.9 ; BD=0.8 ; CD=0.7

Find the optimal subset (size > n, n being the number of covariates) where the mean of r for the subset is a maximum. Of course all NxN distances need to be considered between any chosen subset covariates.

Thus for n>1, the solution would be simply BC = 0.9 And for n>2, the solution would be BCD as (BC + CD + BD)/3) = 0.8 is the maximum mean r value that could be obtained from any of the subsets with n>2.

I'd expected that this would be a common problem but 2 days of googling
has given me little. I'm expecting a greedy graph traversal
or the like will be my answer but I'd hoped to whip a solution of in R.
Any help would be greatly appreciated.

Ryan

Leeds, Mark (IED) wrote:

>hi ryan : I reread and you already have the correlation matrix so brute

*>force should definitely work.
**>
**>So, if the correlation matrix was size 20 by 20 and your n was 9.
**>
**>Then, you have to have of size 10 or greater so the number of
**>possoibilities would be ( 20 choose 10 ) + ( 20 choose 11 ) + ( 200
**>choose 12 ) + ( 20 choose 13 ) + ......... ( 20 choose 20 )
**>
**>Oh boy, it is too large a problem to do by brute force. There are too
**>many possibilities even for this size of problem.
**>Hopefully Someone else will have a better idea. Forget my brute force
**>idea. It's useless and I apologize. I Made a mistake.
**>
**>
**>
**>
**>
**>
**>-----Original Message-----
**>From: r-help-bounces@stat.math.ethz.ch
**>[mailto:r-help-bounces@stat.math.ethz.ch] On Behalf Of Ryan Austin
**>Sent: Friday, October 13, 2006 2:43 PM
**>To: r-help@stat.math.ethz.ch
**>Subject: [R] a correlation matrix subset where the subset avg is a
**>maximum
**>
**>Hello R group,
**>
**>Given a correlation matrix, I would like to obtain the best subset of
**>pairs in the matrix of some size > n such that the mean of r for that
**>subset is a maximum compared to any other possible subset of size > n.
**>I've been looking at the deal and subselect packages but they don't seem
**>to do what I need. Does anyone have any suggestions?
**>
**>Thanks in advance,
**>Ryan
**>
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