[R] multi-class modeling

From: array chip <arrayprofile_at_yahoo.com>
Date: Mon 11 Apr 2005 - 15:37:47 EST


Just wonder if someone could comment on using linear discriminant analysis (LDA) vs. multinomial logistic regression in multi-class classification/prediction (nomial dependent variable, not ordinal)? What kind of difference in results can I expect from the 2 methods, which is better or more appropriate, or under what condiditon should I used one instead of the other? And is there other methods I can try?

On another note, if I want to use logistic regression using multinom() in package nnet, how can I address the problem that each class of the dependent variable has an unequal prevalence? In lda(), I can do this by using prior argument, but there is no similar argument in multinom().

Thank you!

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https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide! http://www.R-project.org/posting-guide.html Received on Mon Apr 11 15:44:13 2005

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