ggplot2 (version 2.0.0)

stat_summary_2d: Bin and summarise in 2d (rectangle & hexagons)

Description

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.

Usage

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, ...)

Arguments

mapping

The aesthetic mapping, usually constructed with aes or aes_string. Only needs to be set at the layer level if you are overriding the plot defaults.

data

A layer specific dataset - only needed if you want to override the plot defaults.

geom

The geometric object to use display the data

position

The position adjustment to use for overlapping points on this layer

bins

numeric vector giving number of bins in both vertical and horizontal directions. Set to 30 by default.

binwidth

Numeric vector giving bin width in both vertical and horizontal directions. Overrides bins if both set.

drop

drop if the output of fun is NA.

fun

function for summary.

fun.args

A list of extra arguments to pass to fun

na.rm

If FALSE (the default), removes missing values with a warning. If TRUE silently removes missing values.

show.legend

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.

inherit.aes

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.

...

other arguments passed on to layer. This can include aesthetics whose values you want to set, not map. See layer for more details.

Aesthetics

• x: horizontal position
• y: vertical position
• z: value passed to the summary function

See Also

stat_summary_hex for hexagonal summarization. stat_bin2d for the binning options.

Examples

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()
}