Hello,
I am using linear discriminant analysis (lda) from the MASS library to classify
data in two classes.
1. How do I get the full LDA model? The function lda reports coefficients but
not the constant term? Currently I run the linear model function lm on the LDA
scores and variables to find out the complete model. Is there an easier way?
2. How do I get the cut-point (the point at which the probability for both
classes is equal)? I am thinking to feed the LDA (using function predict) with
some synthetic data to find out the cut-point and to get more details on the
probability distribution of the discriminant. Is there an easier way?
Stephen.
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