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plot.design and NAs

Hello all--

I'm trying to quickly, graphically, summarize the differences in the sample
proportion of "yes" responses in a 0-1 variable across sites.

I'm looking for a quick way to do one of the following:

(1) add means onto boxplots (I know there's a boxmeans=T toggle in plot(.),
but can I do this on proper boxplots?)
(2) run plot.design on data containing NAs?  (I have tried fun = function(x)
mean(x, na.rm=T) in plot.design(.)).

Best,
STS




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