I believe you're looking for summary. So my.glm<-glm(Response ~ TrtA*TrtB) summary(my.glm)
will give you p values for each parameter value. Similarly anova(my.glm) will give you p values for the likelihood ratio chi-square statistic for each factor using sequential tests. You can also use Anova from the car library for tests corresponding to a type II sums of squares analysis. -- View this message in context: http://www.nabble.com/How-to-get-the-P-values-from-GLM-results--tp16145992p16148396.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.
