Simple question. 8 million pages in the statistical literature of answers. What, indeed, is the secret to life?
Post on a statistical help list (e.g. stats.stackexchange.com). This has almost nothing to do with R. Be prepared for an onslaught of often conflicting "wisdom." -- Bert On Thu, Jan 26, 2012 at 1:25 PM, Jhope <jeanwaij...@gmail.com> wrote: > I ask the question about when to stop adding another variable even though it > lowers the AIC because each time I add a variable the AIC is lower. How do I > know when the model is a good fit? When to stop adding variables, keeping > the model simple? > > Thanks, J > > -- > View this message in context: > http://r.789695.n4.nabble.com/How-do-I-compare-47-GLM-models-with-1-to-5-interactions-and-unique-combinations-tp4326407p4331848.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. -- Bert Gunter Genentech Nonclinical Biostatistics Internal Contact Info: Phone: 467-7374 Website: http://pharmadevelopment.roche.com/index/pdb/pdb-functional-groups/pdb-biostatistics/pdb-ncb-home.htm ______________________________________________ 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.