geom_density(mapping = NULL, data = NULL, stat = "density", position = "identity", na.rm = FALSE, show.legend = NA, inherit.aes = TRUE, ...)stat_density(mapping = NULL, data = NULL, geom = "area", position = "stack", adjust = 1, kernel = "gaussian", trim = FALSE, na.rm = FALSE, show.legend = NA, inherit.aes = TRUE, ...)
aes
or
aes_
. If specified and inherit.aes = TRUE
(the
default), is combined with the default mapping at the top level of the
plot. You only need to supply mapping
if there isn't a mapping
defined for the plot.FALSE
(the default), removes missing values with
a warning. If TRUE
silently removes missing values.NA
, the default, includes if any aesthetics are mapped.
FALSE
never includes, and TRUE
always includes.FALSE
, overrides the default aesthetics,
rather than combining with them. This is most useful for helper functions
that define both data and aesthetics and shouldn't inherit behaviour from
the default plot specification, e.g. borders
.layer
. There are
three types of arguments you can use here:
color = "red"
or size = 3
.
stat
associated with the layer.
geom_density
and stat_density
.density
for detailsdensity
for detailsFALSE
, the default, each density is
computed on the full range of the data. If TRUE
, each density
is computed over the range of that group: this typically means the
estimated x values will not line-up, and hence you won't be able to
stack density values.A kernel density estimate, useful for display the distribution of variables with underlying smoothness.
geom_density
understands the following aesthetics (required aesthetics are in bold):
x
y
alpha
colour
fill
linetype
size
weight
ggplot(diamonds, aes(carat)) + geom_density()
ggplot(diamonds, aes(carat)) + geom_density(adjust = 1/5)
ggplot(diamonds, aes(carat)) + geom_density(adjust = 5)
ggplot(diamonds, aes(depth, colour = cut)) + geom_density() + xlim(55, 70)Warning message: Removed 45 rows containing non-finite values (stat_density).
ggplot(diamonds, aes(depth, fill = cut, colour = cut)) + geom_density(alpha = 0.1) + xlim(55, 70)Warning message: Removed 45 rows containing non-finite values (stat_density).
# Stacked density plots: if you want to create a stacked density plot, you # probably want to 'count' (density * n) variable instead of the default # density # Loses marginal densities ggplot(diamonds, aes(carat, fill = cut)) + geom_density(position = "stack")
# Preserves marginal densities ggplot(diamonds, aes(carat, ..count.., fill = cut)) + geom_density(position = "stack")
# You can use position="fill" to produce a conditional density estimate ggplot(diamonds, aes(carat, ..count.., fill = cut)) + geom_density(position = "fill")
geom_histogram
, geom_freqpoly
for
other methods of displaying continuous distribution.
See geom_violin
for a compact density display.