Use a different confidence interval in ggplot2 mean_cl_boot

Question

ggplot2 uses Hmisc:smean_cl_boot in its stat_summary as

stat_summary(fun.data = mean_cl_boot, geom = "pointrange")

Is it possible to specify a 90% confidence interval instead of the default 95? In Hmisc::smean_cl_boot it is an option, but I don't know how to pass it through the ggplot2 syntax. I prefer not to define a custom function.

Answer 1

You can use the fun.args argument of stat_summary to pass arguments to the function.

Try:

stat_summary(fun.data = mean_cl_boot, geom = "pointrange",fun.args=list(conf.int=.9))