Hi, in library(MASS) the function profile.glm should help you.
christian Am Samstag, 28. Februar 2004 08:22 schrieb Niels Steen Krogh: > Dear R-list. > I'm doing af logistic analyses using gml. > The model explaines variations in Adverse events infections (0 og 1) using > age as explanatory variable. > > model2d<-glm(formula=AEorSAEInfecBac~Age,family=binomial("logit"),data=emri >sk) > > I want to get predictions with 95% confidence limits for age 30 and age 60. > I've been reading the "google" and "search r-project" for suggestions but > could only find solutions for lm: > predict(model,data.frame(Age=30),level=.95 ..............) > ?predict.glm or ?glm did'nt give me hints either. > > > Using R1.8.1. Windows > > > > > > Cand. Polit. > Niels Steen Krogh > Solsortvej 44 > 2000 F. > > Tlf: 3888 8613 > > ZiteLab / EmpoweR youR data with R, Zope and SOAP > > ______________________________________________ > [EMAIL PROTECTED] mailing list > https://www.stat.math.ethz.ch/mailman/listinfo/r-help > PLEASE do read the posting guide! > http://www.R-project.org/posting-guide.html ______________________________________________ [EMAIL PROTECTED] mailing list https://www.stat.math.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide! http://www.R-project.org/posting-guide.html