See the nlme library and accompanying book by Pinheiro and Bates. The
lme function is appropriate for linear mixed models with normal
errors, and the 'weights' argument provides flexible methods for
modeling error heterogeneity.
hth,
Kingsford
On Mon, Nov 2, 2009 at 12:10 PM, jinyan fan <fanjinyan at yahoo.com>
wrote:> Dear Colleagues,
>
> I am running a three-way mixed-design ANOVA, with one manipulated IV, a
group membership IV, and pre-/post- within subject factor. I am interested in
the three-way interaction effect. The regular ANVOA is problematic, because (a)
the sample sizes are very unbalanced, due to the group IV, (b) the homogeneity
of?variance?is violated, and (c) the homogeneity of covariance is also violated.
I wonder if R has a procedure to address this issue, either by some sort of
Robust ANOVA procedure, or by some alternative tests? Thanks a lot.
>
> Jinyan Fan
>
> Assistant Professor
> Department of Psychology
> Hofstra University
> Hempstead, NY 11550
> Work: 516-463-6349
>
>
>
> ? ? ? ?[[alternative HTML version deleted]]
>
>
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