R/geom-density2d.r
, R/stat-density-2d.r
geom_density_2d.Rd
Perform a 2D kernel density estimation using MASS::kde2d()
and
display the results with contours. This can be useful for dealing with
overplotting. This is a 2d version of geom_density()
.
geom_density_2d(mapping = NULL, data = NULL, stat = "density2d", position = "identity", ..., lineend = "butt", linejoin = "round", linemitre = 10, na.rm = FALSE, show.legend = NA, inherit.aes = TRUE) stat_density_2d(mapping = NULL, data = NULL, geom = "density_2d", position = "identity", ..., contour = TRUE, n = 100, h = NULL, na.rm = FALSE, show.legend = NA, inherit.aes = TRUE)
mapping | Set of aesthetic mappings created by |
---|---|
data | The data to be displayed in this layer. There are three options: If A A |
position | Position adjustment, either as a string, or the result of a call to a position adjustment function. |
... | Other arguments passed on to |
lineend | Line end style (round, butt, square). |
linejoin | Line join style (round, mitre, bevel). |
linemitre | Line mitre limit (number greater than 1). |
na.rm | If |
show.legend | logical. Should this layer be included in the legends?
|
inherit.aes | If |
geom, stat | Use to override the default connection between
|
contour | If |
n | number of grid points in each direction |
h | Bandwidth (vector of length two). If |
geom_density_2d
understands the following aesthetics (required aesthetics are in bold):
x
y
alpha
colour
group
linetype
size
Learn more about setting these aesthetics in vignette("ggplot2-specs")
Same as stat_contour()
geom_contour()
for information about how contours
are drawn; geom_bin2d()
for another way of dealing with
overplotting.
m <- ggplot(faithful, aes(x = eruptions, y = waiting)) + geom_point() + xlim(0.5, 6) + ylim(40, 110) m + geom_density_2d()set.seed(4393) dsmall <- diamonds[sample(nrow(diamonds), 1000), ] d <- ggplot(dsmall, aes(x, y)) # If you map an aesthetic to a categorical variable, you will get a # set of contours for each value of that variable d + geom_density_2d(aes(colour = cut))