David Winsemius <dwinsemius <at> comcast.net> writes:
> 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. In defense of the OP, this is a very confusing situation. mean_cl_boot is a ggplot2 function that wraps smean.cl.boot from the Hmisc package: it's almost impossible to figure this out from looking at the raw code of mean_cl_boot, although the help page for ?mean_cl_boot does reference smean.cl.boot. ?smean.cl.boot (in Hmisc, so you'll need to have that package loaded) has a B=1000 parameter for bootstrapping. I don't know if stat_summary(fun.data="mean_cl_boot",B=10000) will work or not, but it would be worth a try (try setting B to a small number and see if your CIs get very noisy, or set it to a large number and see if your plot starts taking a lot longer to compute ...) ______________________________________________ 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.
