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
.
stat_summary_2d(mapping = NULL, data = NULL, geom = "tile",
position = "identity", ..., bins = 30, binwidth = NULL,
drop = TRUE, fun = "mean", fun.args = list(), na.rm = FALSE,
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(), na.rm = FALSE,
show.legend = NA, inherit.aes = TRUE)
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.
The geometric object to use display the data
Position adjustment, either as a string, or the result of a call to a position adjustment function.
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.
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.
drop if the output of fun
is NA
.
function for summary.
A list of extra arguments to pass to fun
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()
.
x
: horizontal position
y
: vertical position
z
: value passed to the summary function
Location
Value of summary statistic.
stat_summary_hex()
for hexagonal summarization.
stat_bin2d()
for the binning options.
# NOT RUN {
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()
}
# }
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