I think that these models are not nested and thus the LRT produced by
anova.lme() will not be valid; AIC and BIC could be more relevant. In
terms of interpretability, I'd say that a model treating 'zeitn' as a
factor is much easier to explain than a model with 4th order
polynomial.
I hope it
On 1/9/06, Leo Gürtler [EMAIL PROTECTED] wrote:
Dear alltogether,
two lme's, the data are available at:
http://www.anicca-vijja.de/lg/hlm3_nachw.Rdata
explanations of the data:
nachw = post hox knowledge tests over 6 measure time points (= equally
spaced)
zeitn = time points (n = 6)
