for an example,
counts <- c(18,17,15,20,10,20,25,13,12) outcome <- gl(3,1,9); treatment <- gl(3,3) glm.D93 <- glm(counts ~ outcome + treatment, family=poisson()) confint(glm.D93) confint.default(glm.D93) # based on asymptotic normality to verify the confidence interval (confint.default(glm.D93)) for outcome2 -4.542553e-01 + c(-1,1) * 0.2021708 * qt(0.975,df=4) -1.0155714 0.1070608 does not give me outcome2 -0.8505027 -0.05800787 as in confint.default(glm.D93) Thanks -- View this message in context: http://n4.nabble.com/confint-for-glm-general-linear-model-tp954071p962790.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.
