stat_summary_2d(mapping = NULL, data = NULL, geom = "tile", position = "identity", bins = 30, binwidth = NULL, drop = TRUE, fun = "mean", fun.args = list(), show.legend = NA, inherit.aes = TRUE, ...)stat_summary_hex(mapping = NULL, data = NULL, geom = "hex", position = "identity", bins = 30, binwidth = NULL, drop = TRUE, fun = "mean", fun.args = list(), show.legend = NA, inherit.aes = TRUE, ...)
aes
or aes_string
. Only needs to be set
at the layer level if you are overriding the plot defaults.bins
if both set.fun
is NA
.fun
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
. This can
include aesthetics whose values you want to set, not map. See
layer
for more details.stat_summary_2d
is a 2d variation of stat_summary
.
stat_summary_hex
is a hexagonal variation of
stat_summary_2d
. The data are divided into bins defined
by x
and y
, and then the values of z
in each cell is
are summarised with fun
.
x
: horizontal position
y
: vertical position
z
: value passed to the summary function
d <- ggplot(diamonds, aes(carat, depth, z = price)) d + stat_summary_2d()
# Specifying function d + stat_summary_2d(fun = function(x) sum(x^2))
d + stat_summary_2d(fun = var)
d + stat_summary_2d(fun = "quantile", fun.args = list(probs = 0.1))
if (requireNamespace("hexbin")) { d + stat_summary_hex() }