`ggplot2`: label values of barplot that uses `fun.y=“mean”` of `stat_summary`

Question

If I use ggplot2\'s stat_summary() to make a barplot of the average number of miles per gallon for 3-, 4-, and 5-geared cars, for example, how can

Answer 1

You should use the internal variable ..y.. to get the computed mean.

library(ggplot2)
CarPlot <- ggplot(data= mtcars) +
               aes(x = factor(gear),
                   y = mpg)+
      stat_summary(aes(fill = factor(gear)), fun.y=mean, geom="bar")+
      stat_summary(aes(label=round(..y..,2)), fun.y=mean, geom="text", size=6,
             vjust = -0.5)
CarPlot

but probably it is better to aggregate beforehand.

Answer 2

I'd simply precompute the statistics, and build the plot afterwards:

library(plyr)
library(ggplot2)
dat = ddply(mtcars, .(gear), summarise, mean_mpg = mean(mpg))
dat = within(dat, {
    gear = factor(gear)
    mean_mpg_string = sprintf('%0.1f', mean_mpg)
  })
ggplot(dat, aes(x = gear, y = mean_mpg)) + 
    geom_bar(aes(fill = gear), stat = "identity") + 
    geom_text(aes(label = mean_mpg_string), vjust = -0.5)