A couple more thoughts. If you're using nlme::lme to fit the model there is a 'contrasts' argument to lme which can be used to structure the design matrix to produce tests of hypotheses of interest. Also, when you pass an lme object to anova you can use the 'L' argument to specify linear combinations of the coefficients to be tested to be 0.
Kingsford On Sun, Mar 29, 2009 at 11:57 AM, Kingsford Jones <kingsfordjo...@gmail.com> wrote: > Hi Dwight, > > The answer likely depends on how you are fitting the model. Have a > look at the multcomp package and its vignettes to see if it can handle > the model class you are interested in. > > hth, > > Kingsford Jones > > > > On Sun, Mar 29, 2009 at 11:11 AM, Krehbiel, Dwight > <krehb...@bethelks.edu> wrote: >> Dear colleagues, >> >> Can anyone give some clues about how best to conduct post-hoc comparisons or >> planned comparisons for repeated-measures data in R? The UCLA web site gives >> wonderful examples for doing repeated-measures analyses of variance, but >> pairwise or other comparisons are still escaping me. Any clues would be much >> appreciated. >> >> Dwight Krehbiel, Ph.D. >> Bethel College >> North Newton, KS 67117 >> ______________________________________________ >> 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. >> > ______________________________________________ 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.
