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

Département de biologie, Université de Sherbrooke,

Sherbrooke (Québec) J1K 2R1 CANADA

Bill.Shipley@USherbrooke.ca

 <http://callisto.si.usherb.ca:8080/bshipley/>
http://callisto.si.usherb.ca:8080/bshipley/

 


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