Question

Consider the following lines.

p <- ggplot(mpg, aes(x=factor(cyl), y=..count..))

p + geom_histogram()   
p + stat_summary(fun.y=identity, geom='bar')

In theory, the last two should produce the same plot. In practice, stat_summary fails and complains that the required y aesthetic is missing.

Why can’t I use ..count.. in stat_summary? I can’t find anywhere in the docs information about how to use these variables.

Answer 1

Expanding @joran’s comment, the special variables in ggplot with double periods around them (..count.., ..density.., etc.) are returned by a stat transformation of the original data set. Those particular ones are returned by stat_bin which is implicitly called by geom_histogram (note in the documentation that the default value of the stat argument is "bin"). Your second example calls a different stat function which does not create a variable named ..count... You can get the same graph with

p + geom_bar(stat="bin")

In newer versions of ggplot2, one can also use the stat function instead of the enclosing .., so aes(y = ..count..) becomes aes(y = stat(count)).