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
______________________________________________
[EMAIL PROTECTED] 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
