[R] split-plot design?

[Jerome Goudet]

Dear R-gurus,

We are planning an experiment to test if plants produced by selfing are less
fit than those produced by outcrossing.  We have plants from three different
alpine valleys, picked randomly among all the possible valleys. In each valley,
we have a number of individuals, also picked at random. seeds from this
individuals were brought back to the green house and sawned. when they
flowered, five of the flowers were selfed and five outcrossed. the number of
seeds produced by each flower was then recorded.

Would you all agree that valleys and individuals are random factors? If so,
would you also agree that the data should be analysed as a split-plot design:

seeds.nb~valley+ind%in%valley+treat+treat:valley+treat:ind%in%valley

Is there a way in R to specify which factor are random? Is there a way in R to
specify which MS should be used a a denominator?

Thanks a lot for your enlightenments and  best wishes.


Jérôme Goudet
Inst. Ecology
UNI Lausanne
Switzerland

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