Statalist


[Date Prev][Date Next][Thread Prev][Thread Next][Date Index][Thread Index]

st: RE: RE: RE: RE: Correlation coefficient between discrete and continuous variables


From   "Verkuilen, Jay" <JVerkuilen@gc.cuny.edu>
To   <statalist@hsphsun2.harvard.edu>
Subject   st: RE: RE: RE: RE: Correlation coefficient between discrete and continuous variables
Date   Thu, 20 Nov 2008 16:14:09 -0500

>>
Correlation problems are usually described if not defined as symmetric,
i.e. results are invariant to which variable is labelled as predictor
and which response; indeed qua correlation such labelling is
meaningless. And there's no question of an error term. Does discriminant
analysis match those details? >>

No, but cancor and discriminant analysis aren't obviously the same yet
they are mathematically. Obviously a single predictor generates only one
canonical correlation. I guess it depends on what you want to do. I
missed the original post (stupid me) so I probably expressed an opinion
on the wrong thing anyway. 



*
*   For searches and help try:
*   http://www.stata.com/help.cgi?search
*   http://www.stata.com/support/statalist/faq
*   http://www.ats.ucla.edu/stat/stata/



© Copyright 1996–2014 StataCorp LP   |   Terms of use   |   Privacy   |   Contact us   |   What's new   |   Site index