R ggplot stat_summary: How to add a kde graph

Question

Id like to use the ggplot stat_summary function with something like geom = "histogram" or geom = "kde". This is avail in python with kind="kde", but I am unable to find a good workaround in r. Thank you.

library(ggplot2)
data("iris")
ggplot(iris, aes(iris$Species, iris$Sepal.Length))+
stat_summary(fun.y= " mean", geom = "bar")

Answer 1

Try ggalt package

library(ggalt)
#> Loading required package: ggplot2

m <- ggplot(faithful, aes(x = eruptions, y = waiting)) +
       geom_point() +
       xlim(0.5, 6) +
       ylim(40, 110)

m + geom_bkde2d(bandwidth=c(0.5, 4))

m + stat_bkde2d(bandwidth=c(0.5, 4), aes(fill = ..level..), geom = "polygon")

Or use the default from ggplot2 package

m + geom_density_2d()

m + stat_density_2d(aes(fill = calc(level)), geom = "polygon")

Created on 2018-05-10 by the reprex package (v0.2.0).