search for: discrimiant

I used the "lda" function in the MASS library of S-Plus (R) to do a linear discriminant analysis, and got the linear coefficients, say b1 and b2 for the 2 predictors x1 and x2. I have trouble to calculate the discrimiant scores for each observation, I used 3 ways to try to repeat the scores returned by the "predict" function in S-Plus: 1. b1*x1+b2*x2 2. b1*(x1-mean of x1)+b2*(x2-mean of x2) 3. b1* standardized x1+b2*standardized x2 (standardize: mean 0 & variance 1) none of the above procedures can...

...of the earlier ones): What output does lda() produce which I can use to compute the posteriors? I know predict(lda())$posterior will give me precisely the posteriors, but suppose I'd like to compute them myself, outside of R. So far, I have not been able to use "coefficients of linear discrimiants" to do this, for they don't seem to be the alpha and beta in log(post) ~ alpha x + beta (this eqn being a caricature of LDA in Ripley). Caren -- http://www.nhn.ou.edu/~marzban

In http://advogato.net/person/rakholh/diary.html?start=165 Ali wrote: > For same reason I am arguing with people on vorbis-dev - but I don't > understand what the argument is about (considering that the vorbis > developers proposed a solution which mjs and I thought was reasonable, > and then some developers decided to criticize us again for no reason). Goodness, get dropped