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 [[alternative HTML version deleted]] ______________________________________________ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.