geom_hex(mapping = NULL, data = NULL, stat = "binhex", position = "identity", show.legend = NA, inherit.aes = TRUE, ...)stat_bin_hex(mapping = NULL, data = NULL, geom = "hex", position = "identity", bins = 30, binwidth = NULL, 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.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_hex
and
stat_binhex.
bins
if both set.FALSE
(the default), removes missing values with
a warning. If TRUE
silently removes missing values.Hexagon binning.
geom_hex
understands the following aesthetics (required aesthetics are in bold):
x
y
alpha
colour
fill
size
d <- ggplot(diamonds, aes(carat, price)) d + geom_hex()
# You can control the size of the bins by specifying the number of # bins in each direction: d + geom_hex(bins = 10)
d + geom_hex(bins = 30)
# Or by specifying the width of the bins d + geom_hex(binwidth = c(1, 1000))
d + geom_hex(binwidth = c(.1, 500))
stat_bin2d
for rectangular binning