Why use glm(...) for a multiple regression? A multiple regression model is just an LM, not a GLM. glm(...) is the long way round, at best.
___ fm <- lm(y ~ x1+x2+..., data = myData) ## fits the model summary(fm) ## will show you the tests, including p-values pv <- summary(fm)$coef[, "Pr(>|t|)"] ## will extract them -----Original Message----- From: [EMAIL PROTECTED] [mailto:[EMAIL PROTECTED] On Behalf Of Alex Wang Sent: Wednesday, 19 March 2008 1:51 PM To: r-help@r-project.org Subject: [R] How to get the P-values from GLM results? Hello all, I have a question concerning how to get the P-value for a explanatory variables based on GLM. I'll run multiple regressions with GLM, and I'll need the P-value for the same explanatory variable from these multiple GLM results. I check the help and there are quite a few Value options but I just can not find anyone about the p-value. Could anyone help me with that? Thanks a lot! Alex [[alternative HTML version deleted]] ______________________________________________ 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. ______________________________________________ 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.
