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st: RE: oblong correlation matrices


From   "Nick Cox" <n.j.cox@durham.ac.uk>
To   <statalist@hsphsun2.harvard.edu>
Subject   st: RE: oblong correlation matrices
Date   Wed, 17 Nov 2004 10:31:56 -0000

Following Kit's comment, 

I confirm, as the author, that -cpcorr- was written deliberately 
in this way. At the time of writing, I really wanted to put the onus 
on the user to hack -cpcorr- towards what they wanted if they didn't 
like that decision. 

I don't have plans to add this option. A positive reason for 
that is that my -makematrix- already provides the same flexibility. 
The syntax is likely to seem rather complicated, but that's because
the program is much more ambitious. 

Naturally, anyone is free to clone -cpcorr- and modify to taste. 
The Statalist FAQ suggests appropriate etiquette for such 
rewriting. 

Nick 
n.j.cox@durham.ac.uk 

Kit Baum
 
> Wendy wrote
> 
> The cpcorr command seems the simplest method for now.  But it seems to
> use listwise exclusion instead of pairwise for the group of
> correlations, so I am not getting the same results for pairs of
> variables as I get from other weighted correlation commands.  Is it
> possible to use pairwise exclusion with cpcorr -- or is there 
> some other
> reason for getting different results for pairs of variables 
> from pwcorr
> versus cpcorr?
> 
> If you comment out the line of cpcorr.ado
> 
> if `slash' { markout `touse' `rowvars' }
> 
> cpcorr will produce pairwise correlations (and the N reported will be 
> the maximum avaiilable for any correlation). The author of 
> cpcorr might 
> want to add a 'pairwise' option to the routine,  la
> 
> if `slash' & ~`pairwise' { markout `touse'  `rowvars'}
> 
> as I do not see any reason why it would not be sensible to allow 
> pairwise correlations to be generated in this context.
 

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