Error can be a formula, and would normally be in split-plot designs.
Examples in MASS4, chapter 10, for example.
Unless you have exact balance, use lme.
On Tue, 28 Oct 2003, Bill Shipley wrote:
> Hello. I am about to do a rather complicated analysis and am not sure
> how to do it. The experiment has a split-plot design and also repeated
> measures. Both of these complications require one to define an error
> term and it seems that one cannot specify two such terms. The
> split-plot command is:
>
>
>
> aov(y~covariates +A*B+Error(C), data=) where A and B are the fixed
> effects and C is the plot-level source of error.
>
>
>
> The repeated measures command is:
>
> aov(y~covariates+A*B*time + Error(subject), data=) where subject is the
> error source for the repeated measures over time.
>
>
>
> Can these be somehow combined to include a split-plot &
> repeated-measures design? If not, can I perhaps use a mixed-model
> analysis with random subjects nested within the whole-plot?
>
>
>
> Any suggestions or leads are appreciated.
>
>
>
> Bill Shipley
>
> Associate Editor, Ecology
>
> North American Editor, Annals of Botany
>
> D?partement de biologie, Universit? de Sherbrooke,
>
> Sherbrooke (Qu?bec) J1K 2R1 CANADA
>
> Bill.Shipley at USherbrooke.ca
>
> <http://callisto.si.usherb.ca:8080/bshipley/>
> http://callisto.si.usherb.ca:8080/bshipley/
>
>
>
>
> [[alternative HTML version deleted]]
>
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--
Brian D. Ripley, ripley at stats.ox.ac.uk
Professor of Applied Statistics, http://www.stats.ox.ac.uk/~ripley/
University of Oxford, Tel: +44 1865 272861 (self)
1 South Parks Road, +44 1865 272866 (PA)
Oxford OX1 3TG, UK Fax: +44 1865 272595