sorry to bump in late, but I am doing similar things now and was browsing.
IMHO anova is not appropriate here. it applies when the richer model has p more variables than the simpler model. this is not the case here. the competing models use different variables. you are left with IC. by transforming a continuous variable into categorical you are smoothing, which is the idea of GAM. if you look at what is offered in GAMs you may find better approximations f(age) as well as tools for testing among different f(age) transformations. regards. S. -- View this message in context: http://r.789695.n4.nabble.com/how-to-get-design-matrix-tp891987p2524289.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.
