Dear Luis, I believe that lmer() doesn't print out standard errors or Wald tests for variance-covariance components because these tests aren't reliable. You can omit each random effect from the model in turn, and use anova() to perform a likelihood-ratio test for the corresponding variance and covariance components, comparing each null model with the full model.
I hope this helps, John -------------------------------- John Fox Department of Sociology McMaster University Hamilton, Ontario Canada L8S 4M4 905-525-9140x23604 http://socserv.mcmaster.ca/jfox -------------------------------- > -----Original Message----- > From: [EMAIL PROTECTED] > [mailto:[EMAIL PROTECTED] On Behalf Of Luis Salasar > Sent: Friday, November 24, 2006 1:57 PM > To: r-help@stat.math.ethz.ch > Subject: [R] Random effects ANOVA > > Hi, > > I used the command lmer, in package lme4, to fit a random > effects ANOVA. But i didn't get the p-values of significance > tests of variance components. Does anyone know how to do it? Thanks, > > Luis Ernesto > > > --------------------------------- > > [[alternative HTML version deleted]] > > ______________________________________________ > R-help@stat.math.ethz.ch 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@stat.math.ethz.ch 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.
