From: Marc R. Feldesman <feldesmanm_at_pdx.edu>

Date: Tue 13 Jul 2004 - 06:03:59 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 Tue Jul 13 06:14:49 2004

Date: Tue 13 Jul 2004 - 06:03:59 EST

At 08:45 AM 7/12/2004, marzban wrote:

* >
*

>Hello,

* >
** >For a simple problem with 1 predictor (x) and 2 classes (0 and 1), the
** >linear discriminant function should be something like
** >
** > 2(mu_0 - mu_1)/var x + x-independent-terms
** >
** >where var is the common variance.
** >
** >Question 1: Why does lda() report only a single "Coefficients of linear
** >discriminants" when there are in fact two coefficients (the x-dependent
** >and the x-independent terms)?
** >
** >Question 2: And how is that single coefficient computed? It is certainly
** >not equal to 2(mu_0 -mu_1)/var .
** >
** >Regards,
** >Caren
** >--
** >http://www.nhn.ou.edu/~marzban
*

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 Tue Jul 13 06:14:49 2004

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