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.
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))
.
If you love us? You can donate to us via Paypal or buy me a coffee so we can maintain and grow! Thank you!
Donate Us With