Hello: I am new to R and statistics and I have two questions.
First I need help to interpret the cross-validation result from the R linear discriminant analysis function "lda". I did the following: lda (group ~ Var1 + Var2, CV=T) where "CV=T" tells the lda to do cross-validation. The output of lda are the posterior probabilities among other things, but I can't find an error term (like delta returned by cv.glm). My question is how to get such an error term from the output? Can I just simply calculate the prediction accuracy using the posterior probabilities from the cross-validation, and use that to measure the quality of the model? Another question is more basic: how to determine if a lda model is significant? (There is no p-value.) Thanks, Yu Shao Wadsworth Research Center Department of Health of New York State Albany, NY 12208 ______________________________________________ [EMAIL PROTECTED] mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide! http://www.R-project.org/posting-guide.html