A (late) update to this question: On Fri Aug 17 07:33:29, Henrik Singmann wrote: > Hi Diego, > > I am struggeling with this question also for some time and there does
> not seem to be an easy and general solution to this problem. At least I > haven't found one. > However, if you have just one repeated-measures factor, use the solution > describe by me here: http://stats.stackexchange.com/a/15532/442 > Furthermore, you might wanna check the package phia with accompanying > vignette (but it uses multivariate tests). There is a new version of "phia" that also works with mixed-effects models - but notice the caveat about the calculation of p-values for such models, as explained in the vignette. For more issues about mixed-effects models in R, there is a specifice SIG-list: https://stat.ethz.ch/mailman/listinfo/r-sig-mixed-models > For running the ANOVA you could also check my new package afex. > > Cheers, > Henrik > > >> Diego Bucci schrieb: >> Hi, >> I performed an ANOVA repeated measures but I still can't find any good news regarding the possibility to perform multiple comparisons. >> Can anyone help me? >> Thanks INSTITUTO DE BIOMECÁNICA DE VALENCIA Universidad Politécnica de Valencia • Edificio 9C Camino de Vera s/n • 46022 VALENCIA (ESPAÑA) Tel. +34 96 387 91 60 • Fax +34 96 387 91 69 www.ibv.org Antes de imprimir este e-mail piense bien si es necesario hacerlo. En cumplimiento de la Ley Orgánica 15/1999 reguladora de la Protección de Datos de Carácter Personal, le informamos de que el presente mensaje contiene información confidencial, siendo para uso exclusivo del destinatario arriba indicado. En caso de no ser usted el destinatario del mismo le informamos que su recepción no le autoriza a su divulgación o reproducción por cualquier medio, debiendo destruirlo de inmediato, rogándole lo notifique al remitente. ______________________________________________ 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.
