stat_summaries_hex: Multi-Stat Binning Layer
In ggplot.multistats: Multiple Summary Statistics for Binned Stats/Geometries

Description Usage Arguments Format See Also Examples

View source: R/stat_summaries_hex.r

Very similar to stat_summary_hex, but allows for multiple stats to be captured using the funs parameter.

stat_summaries_hex(mapping = NULL, data = NULL, geom = "hex",
  position = "identity", ..., bins = 30, binwidth = NULL,
  drop = TRUE, funs = c(value = "mean"), na.rm = FALSE,
  show.legend = NA, inherit.aes = TRUE, key_glyph = NULL)

StatSummariesHex

`mapping`	Set of aesthetic mappings created by `aes()` or `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.
`data`	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)`).
`geom`	The geometric object to use display the data
`position`	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.
`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`.
`funs`	A list or vector of functions and function names. See `normalize_function_list` for details.
`na.rm`	If `FALSE`, the default, missing values are removed with a warning. If `TRUE`, missing values are silently removed.
`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. It can also be a named logical vector to finely select the aesthetics to display.
`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. `borders()`.
`key_glyph`	A legend key drawing function or a string providing the function name minus the `draw_key_` prefix. The default is `draw_key_hexagon`.

An object of class StatSummariesHex (inherits from Stat, ggproto, gg) of length 3.

normalize_function_list for the funs parameter and draw_key_hexagon for the legend entry.

library(ggplot2)
# Define the variable used for the stats using z
ggplot_base <- ggplot(iris, aes(Sepal.Width, Sepal.Length, z = Petal.Width))
# The default is creating `stat(value)` containing the mean
ggplot_base + stat_summaries_hex(aes(fill = stat(value)), bins = 5)
# but you can specify your own stats
ggplot_base + stat_summaries_hex(
  aes(fill = stat(median), alpha = stat(n)),
  funs = c('median', n = 'length'),
  bins = 5)