I've got a sample set of variables x1,...xn and a factor f that classifies
each sample to belong to either group 0 or 1.
If I build a model with
m1<-glm(f~. , family=binomial(link="logit"),data=frame);
pv<-as.vector(predict(m1))
prob<-plogis(pv)
does then "prob" predict the probability of a sample to belong to
group 1?
Is this equivalent to logistic discrimination analysis?
M. Pronath
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