On Nov 9, 2011, at 2:59 PM, Nathan Miller wrote:
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".
You seem really, really confused (and you offer very little in the way
of context to support debugging efforts). You are referring to ggplot
functions. As far as I know there is no connection between the Hmisc
and ggplot (or ggplot2) packages. Al things change, I know, but Frank
just completed switching over to Lattice a couple of years ago.
--
David Winsemius, MD
West Hartford, CT
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