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) 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.
layer. These are
often aesthetics, used to set an aesthetic to a fixed value, like
color = "red" or size = 3. They may also be parameters
to the paired geom/stat.bins if both set.fun is NA.funFALSE (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.x: horizontal position
y: vertical position
z: value passed to the summary function
stat_summary_hex for hexagonal summarization.
stat_bin2d for the binning options.
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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