R help - Nov 2011 - ggplot stat_summary (mean_cl_boot)

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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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