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mainlog
2017 Oct 10
1
Unbalanced data in split-plot analysis with aov()
Dear all,
I'm analysing a split-plot experiment, where there are sometimes one or
two values missing. I realized that if the data is slightly unbalanced,
the effect of the subplot-treatment will also appear and be tested
against the mainplot-error term.
I replicated this with the Oats dataset from Yates (1935), contained in
the nlme package, where Variety is on mainplot, and nitro on subplot.
> # Oats dataset (Yates 1935) from the nlme package
> require(nlme); data <- get(data(Oats))
> data$nitro <- factor(data$nit...