Hi,
it seems that the lda function in MASS library doesn't give out the constant for the
linear discriminant function under the situation that we don't use standardized
variable, anyone knows how to obtain the constant in order to construct the linear
discriminant function?
I understand that if the priors are set to be 1/2, the threshold of the discriminant
score used to separate the 2 classes is 0, how about if the priors are not 1/2 vs.
1/2, e.g. like 1/3 vs. 2/3, in this situation, how to determine a threshold of the
discriminant score to separate the 2 classes? Is there a simple formula existing? I
understand posterior probabilities are usually used for classification, but I would
like to know if I want to use discriminant scores, how can I do it?
Thank you
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