Re: [R] Adjusting for initial status (intercept) in lme growth models

D Chaws cat.dev.urandom at gmail.com writes: Say, for instance you want to model growth in pituitary distance as a function of age in the Orthodont dataset. fm1 = lme(distance ~ I(age-8), random = ~ 1 + I(age-8) | Subject, data = Orthodont) You notice that there is substantial

Re: [R] Adjusting for initial status (intercept) in lme growth models

I read this very brief chapter, and don't see how this would address the issues I raise. Can you provide any further hints? Sorry, I may be missing something obvious. -- DC On Fri, Aug 29, 2008 at 4:07 AM, Dieter Menne [EMAIL PROTECTED]wrote: D Chaws cat.dev.urandom at gmail.com writes:

[R] Adjusting for initial status (intercept) in lme growth models

Hi everyone, I have a quick and probably easy question about lme for this list. Say, for instance you want to model growth in pituitary distance as a function of age in the Orthodont dataset. fm1 = lme(distance ~ I(age-8), random = ~ 1 + I(age-8) | Subject, data = Orthodont) You notice that