[R] plot.design and NAs

[Uwe Ligges]

Steven Sullivan wrote:
> 
> 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(.),

Is it? I cannot find it.


> but can I do this on proper boxplots?)

A quick hack would be something like

 a <- rnorm(10)
 b <- rnorm(10)
 boxplot(a, b)
 segments(1:2 - 0.4, mm <- c(mean(a), mean(b)), 
     1:2 + 0.4, mm, col = "red")

(with the default boxwidth of 0.8 and the placement of the middle of
boxes at 1, 2, ... )

A cleaner solution would be to change the R code of bxp().


> (2) run plot.design on data containing NAs?  (I have tried fun = function(x)
> mean(x, na.rm=T) in plot.design(.)).

Well, I cannot find plot.design anywhere; in which package is it
included?


Uwe Ligges
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