marzban at caps.ou.edu
Mon Jul 12 17:45:11 CEST 2004
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 .
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