[R] lme vs. aov with Error term

Hi, I have a question about using lme and aov for the following dataset. If I understand correctly, using aov with an Error term in the formula is equivalent to using lme with default settings, i.e. both assume compound symmetry correlation structure. And I have found that equivalency in the

[R] lme vs. aov

Hi, I have a question about using lme and aov for the following dataset. If I understand correctly, using aov with Error term in the formula is equivalent to using lme with default settings, i.e. both assume compound symmetry correlation structure. And I have found that equivalency in the past.

[R] lme() vs aov(y ~ A*B + Error(aa %in% A + bb %in% B)) [repost]

I've posted the following to R-help on May 15. It has reproducible R code for real data -- and a real (academic, i.e unpaid) consultion background. I'd be glad for some insight here, mainly not for myself. In the mean time, we've learned that it is to be expected for anova(*, marginal) to be

Re: [R] lme() vs aov(y ~ A*B + Error(aa %in% A + bb %in% B)) [repost]

MM == Martin Maechler [EMAIL PROTECTED] on Tue, 17 Jun 2003 10:13:44 +0200 writes: MM I've posted the following to R-help on May 15. MM It has reproducible R code for real data -- and a real MM (academic, i.e unpaid) consultion background. MM I'd be glad for some insight