Divides the plane into regular hexagons, counts the number of cases in
each hexagon, and then (by default) maps the number of cases to the hexagon
fill. Hexagon bins avoid the visual artefacts sometimes generated by
the very regular alignment of geom_bin_2d()
.
geom_hex(
mapping = NULL,
data = NULL,
stat = "binhex",
position = "identity",
...,
na.rm = FALSE,
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
)
Set of aesthetic mappings created by aes()
. If specified and
inherit.aes = TRUE
(the default), it is combined with the default mapping
at the top level of the plot. You must supply mapping
if there is no plot
mapping.
The data to be displayed in this layer. There are three options:
If NULL
, the default, the data is inherited from the plot
data as specified in the call to ggplot()
.
A data.frame
, or other object, will override the plot
data. All objects will be fortified to produce a data frame. See
fortify()
for which variables will be created.
A function
will be called with a single argument,
the plot data. The return value must be a data.frame
, and
will be used as the layer data. A function
can be created
from a formula
(e.g. ~ head(.x, 10)
).
Position adjustment, either as a string naming the adjustment
(e.g. "jitter"
to use position_jitter
), or the result of a call to a
position adjustment function. Use the latter if you need to change the
settings of the adjustment.
Other arguments passed on to layer()
. These are
often aesthetics, used to set an aesthetic to a fixed value, like
colour = "red"
or size = 3
. They may also be parameters
to the paired geom/stat.
If FALSE
, the default, missing values are removed with
a warning. If TRUE
, missing values are silently removed.
logical. Should this layer be included in the legends?
NA
, the default, includes if any aesthetics are mapped.
FALSE
never includes, and TRUE
always includes.
It can also be a named logical vector to finely select the aesthetics to
display.
If 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()
.
Override the default connection between geom_hex()
and
stat_bin_hex()
.
numeric vector giving number of bins in both vertical and horizontal directions. Set to 30 by default.
Numeric vector giving bin width in both vertical and
horizontal directions. Overrides bins
if both set.
geom_hex()
understands the following aesthetics (required aesthetics are in bold):
x
y
alpha
colour
fill
group
linetype
linewidth
Learn more about setting these aesthetics in vignette("ggplot2-specs")
.
These are calculated by the 'stat' part of layers and can be accessed with delayed evaluation.
after_stat(count)
number of points in bin.
after_stat(density)
density of points in bin, scaled to integrate to 1.
after_stat(ncount)
count, scaled to maximum of 1.
after_stat(ndensity)
density, scaled to maximum of 1.
stat_bin_2d()
for rectangular binning
d <- ggplot(diamonds, aes(carat, price))
d + geom_hex()
# \donttest{
# 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))
# }
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