I asked the same question last week. As Brian Ripley, its author, said then (and others), the only way to see what's going on is to read the code. It's pretty complicated statistically (that's why the performance is so good!), many of the details are in chapter 2 of Pattern Recognition & Neural Networks. The upshot is that it's really not that easy to come up with a simple equation to encompass all of what lda.R does, unfortunately.
You can get the scaling factors programmatically for the centered variables by running coef() on the LDA object, or just using the '<lda_object>$scaling' That's a start, but there's a long way to go from there....
-Frank
At 09:24 AM 8/26/2003, you wrote:
How can I extract the linear discriminant functions resulting from a LDA analysis?
The coefficients are listed as a result from the analysis but I have not found a way to extract these programmatically. No refrences in the archives were found.
Thank you very much,
Stefan
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