search for: 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...

...els = hiccups$Intervention) line <- ggplot(hiccups, aes(Intervention_Factor, Hiccups)) line + stat_summary(fun.y = mean, geom = "point") + stat_summary(fun.y = mean, geom = "line", aes(group=1),colour = "Red", linetype = "dashed")+ stat_summary(fun.data = mean_cl_boot, geom = "errorbar", width = 0.2) + labs(x = "Intervention", y = "Mean Number of Hiccups") saveInImageDirectory("04 Hiccups Line.png") Why does this script not give me a line? It's driving e crazy :-| [[alternative HTML version deleted]]

Hello, I need to plot multiple confidence intervals for the same model parameter e.g. so for the same value of the parameter in point x_1 I would like to see four different confidence intervals so that I can compare the accuracy e.g. boot basic vs normal vs my own vs classic lm CI etc. I like very very much the plotCI implemented here: http://cran.r-project.org/web/packages/plotrix/index.html