I think the help page are exactly the same... I just want to verify the confidence interval manually. That's all I want.
Thanks. casper brestat wrote: > > This functions are different. I advice you study them: > > ?confint # profile likelihood > ?confint.default # t-distribution > > Walmes Zeviani - Brazil > > > > casperyc wrote: >> >> Hi, >> >> I have a glm gives summary as follows, >> >> Estimate Std. Error z value Pr(>|z|) >> (Intercept) -2.03693352 1.449574526 -1.405194 0.159963578 >> A 0.01093048 0.006446256 1.695633 0.089955471 >> N 0.41060119 0.224860819 1.826024 0.067846690 >> S -0.20651005 0.067698863 -3.050421 0.002285206 >> >> then I use confint(k.glm) to obtain a confidnece interval for the >> estimates. >> >>> confint(k.glm,level=0.97) >> Waiting for profiling to be done... >> 1.5 % 98.5 % >> (Intercept) -5.471345995 0.94716503 >> A -0.002340863 0.02631582 >> N -0.037028592 0.95590178 >> S -0.365570347 -0.06573675 >> >> while reading the help for 'confint', i found something like confint.glm >> for general linear model. >> I load the MASS package by clicking on the Menu( or otherwise how should >> I load the package?) >> >> then I still cant use the confint.glm command, what have I dont wrong? >> >> >> How do I calculate this confidence interval for glm estimate manually?? >> >> for A, I use >> 0.01093048 + c(-1,1) * 0.006446256 * qt(0.985,df=77) >> which is a different interval i got from the confint(k.glm,level=0.97) >> above. >> >> To be short, what's the right command to find the confidence interval for >> glm estimats? >> How do I verify it manully? >> >> Thanks. >> >> casper >> >> >> > > -- View this message in context: http://n4.nabble.com/confint-for-glm-general-linear-model-tp954071p956671.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.