Hi, this is more related to understanding some statistics while using R; I've see such output in a paper: out <- glm(response~Var1+Var2+Var3..,family=binomial,data=mydata) summary(out) stepAIC(out) anova(out, test='Chisq') I understand that stepAIC is used to select the model with the lowest AIC (the best model) but can someone explain what is the purpose of doing the anova: anova(out, test='Chisq')? What extra information does it bring? Thanks -- View this message in context: http://r.789695.n4.nabble.com/anova-of-glm-output-tp2528336p2528336.html Sent from the R help mailing list archive at Nabble.com.
______________________________________________ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
