r - Changing whisker definition in geom_boxplot -

i'm trying use ggplot2 / geom_boxplot produce boxplot whiskers defined 5 , 95th percentile instead of 0.25 - 1.5 iqr / 0.75 + iqr , outliers new whiskers plotted usual. can see geom_boxplot aesthetics include ymax / ymin, it's not clear me how put values in here. seems like:

stat_quantile(quantiles = c(0.05, 0.25, 0.5, 0.75, 0.95)) 

should able help, don't know how relate results of stat set appropriate geom_boxplot() aesthetics:

geom_boxplot(aes(ymin, lower, middle, upper, ymax)) 

i've seen other posts people mention building boxplot-like object manually, i'd rather keep whole boxplot gestalt intact, revising meaning of 2 of variables being drawn.

geom_boxplot stat_summary can it:

# define summary function f <- function(x) {   r <- quantile(x, probs = c(0.05, 0.25, 0.5, 0.75, 0.95))   names(r) <- c("ymin", "lower", "middle", "upper", "ymax")   r }  # sample data d <- data.frame(x=gl(2,50), y=rnorm(100))  # ggplot(d, aes(x, y)) + stat_summary(fun.data = f, geom="boxplot")  # example outliers # define outlier want     o <- function(x) {   subset(x, x < quantile(x)[2] | quantile(x)[4] < x) }  # ggplot(d, aes(x, y)) +    stat_summary(fun.data=f, geom="boxplot") +    stat_summary(fun.y = o, geom="point")