ggplot stat_summary (mean_cl_boot)
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