From: Adaikalavan Ramasamy <ramasamy_at_cancer.org.uk>

Date: Thu 15 Jul 2004 - 03:09:06 EST

R-help@stat.math.ethz.ch mailing list

https://www.stat.math.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide! http://www.R-project.org/posting-guide.html Received on Thu Jul 15 03:33:19 2004

Date: Thu 15 Jul 2004 - 03:09:06 EST

http://www.jiscmail.ac.uk/lists/ALLSTAT.html

On Wed, 2004-07-14 at 17:47, F Duan wrote:

> Thank you for your reminding. Could you tell me the addresses of STAT-L and

*> ALLSTAT lists?
**>
**> By the way, I found Cronbach's alpha suggested by Prof. Baron might be the
**> one I am looking for though it's not perfect.
**>
**> Frank
**>
**> -----Original Message-----
**> From: Peter Flom [mailto:flom@ndri.org]
**> Sent: Tuesday, July 13, 2004 16:06
**> To: r-help@stat.math.ethz.ch; f.duan@yale.edu
**> Subject: Re: [R] Is there a statistics that can summarize the correlation
**> formore than two random variables?
**>
**> This seems more like a STATS question than an R question - asking on a
**> list like STAT-L or ALLSTAT may result in more replies
**>
**> Nevertheless, it seems to me that you need to describe (and maybe
**> decide) what you mean by 'summarize' the correlations. Certainly the
**> mean DOES summarize them, but is it the summary you want? Maybe, maybe
**> not. Perhaps the median? Or a trimmed mean? Do you want to take the
**> absolute values of the correlations, or not?
**>
**> HTH
**>
**>
**>
**> Peter L. Flom, PhD
**> Assistant Director, Statistics and Data Analysis Core
**> Center for Drug Use and HIV Research
**> National Development and Research Institutes
**> 71 W. 23rd St
**> www.peterflom.com
**> New York, NY 10010
**> **(212) 845-4485 (voice)
**> (917) 438-0894 (fax)
**>
**>
**> >>> F Duan <f.duan@yale.edu> 07/13/04 2:34 PM >>>
**> Hi, R people,
**>
**>
**>
**> I wonder if there is a statistics than can measure the correlation for
**> more
**> than two random variables, instead of computing the correlation
**> coefficient
**> matrix. If so, what R package should I use?
**>
**>
**>
**> Right now I can only think of the mean of all pair-wise correlation
**> coefficients, e.g., (corr(x,y) + corr(x,z) + corr(y,z)) / 3 for three
**> random
**> variables (x, y, z).
**>
**>
**>
**> Thanks a lot,
**>
**>
**>
**> Frank
**>
**>
**> [[alternative HTML version deleted]]
**>
**> ______________________________________________
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**> PLEASE do read the posting guide!
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**>
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https://www.stat.math.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide! http://www.R-project.org/posting-guide.html Received on Thu Jul 15 03:33:19 2004

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