Typing get("compute_group", ggplot2::StatDensity)
(or, formerly, get("calculate", ggplot2:::StatDensity)
) will get you the algorithm used to calculate the density. (At root, it's a call to density()
with kernel="gaussian"
the default.)
The points used in the plot are invisibly returned by print.ggplot()
, so you can access them like this:
library(ggplot2)
m <- ggplot(movies, aes(x = rating))
m <- m + geom_density()
p <- print(m)
head(p$data[[1]], 3)
# y x density scaled count PANEL group ymin ymax
# 1 0.0073761 1.0000 0.0073761 0.025917 433.63 1 1 0 0.0073761
# 2 0.0076527 1.0176 0.0076527 0.026888 449.88 1 1 0 0.0076527
# 3 0.0078726 1.0352 0.0078726 0.027661 462.81 1 1 0 0.0078726
## Just to show that those are the points you are after,
## extract and use them to create a lattice xyplot
library(gridExtra)
library(lattice)
mm <- xyplot(y ~x, data=p$data[[1]], type="l")
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