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 [EMAIL PROTECTED] <http://callisto.si.usherb.ca:8080/bshipley/> http://callisto.si.usherb.ca:8080/bshipley/ [[alternative HTML version deleted]] ______________________________________________ [EMAIL PROTECTED] mailing list https://www.stat.math.ethz.ch/mailman/listinfo/r-help
