Hello,

This is a pretty simple question, but after spending quite a bit of time
looking at "Hmisc" and using Google, I can't find the answer.

If I use stat_summary(fun.data="mean_cl_boot") in ggplot to generate 95%
confidence intervals, how many bootstrap iterations are preformed by
default? Can this be changed? I would at least like to be able to report
the number of boot strap interations used to generate the CIs.

I haven't been able to find "mean_cl_boot" as a function itself or
something ressembling it in the Hmisc documentation, but it seems as though
Hmisc is wrapped up in stat_summary() and is called to compute
"mean_cl_boot".

Many thanks for clearing this up for me,

Nate

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