Sorry, I didn't realize I was being so obscure.

Within ggplot it is possible to use stat_summary() to generate confidence
intervals about a mean. One method for generating these CI assumes
normality. The other uses bootstrapping to generate the CI. I am using the
second method which requires code like this

stat_summary(fun.data="mean_cl_boot", geom="errorbar",width=0.1,colour =
"red")

I've added some extra flourishes to make them look like errorbars, alter
the width and specify color.

I would like some details regarding how this bootstrapped CI is calculated.
If I type "?mean_cl_boot" at the R command line I get a minimal help file
for "wrap_hmisc {ggplot2}" which is described  "wrap up a selection of
Hmisc to make it easy to use with stat_summary"

I did not mean to suggest that ggplot2 calls Hmisc when I run
stat_summary(), but simply that it appears that stat_summary() seems to
have been based upon a selection of Hmisc, hence I went looking in Hmisc to
try to find details regarding stat_summary(). I was unsuccessful in this
attempt.

I don't believe a great deal of debugging is necessary. I am simply looking
for details regarding how "mean_cl_boot" works. If you don't have
information regarding how it works (such as the default number of
resamplings) there is no need to respond.

Thanks for any assistance,
Nate



On Wed, Nov 9, 2011 at 1:10 PM, David Winsemius <dwinsemius@comcast.net>wrote:

>
> 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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