stat_bin2d

From ggplot2 v1.0.1 by Hadley Wickham

Count number of observation in rectangular bins.

Usage

stat_bin2d(mapping = NULL, data = NULL, geom = NULL,
  position = "identity", bins = 30, drop = 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 overlappling points on this layer
bins: numeric vector giving number of bins in both vertical and horizontal directions. Set to 30 by default.
drop: if TRUE removes all cells with 0 counts.
...: other arguments passed on to layer. This can include aesthetics whose values you want to set, not map. See layer for more details.

Aesthetics

[results=rd,stage=build]{ggplot2:::rd_aesthetics("stat", "bin2d")} d <- ggplot(diamonds, aes(carat, price)) d + stat_bin2d() d + geom_bin2d()

# You can control the size of the bins by specifying the number of # bins in each direction: d + stat_bin2d(bins = 10) d + stat_bin2d(bins = 30)

# Or by specifying the width of the bins d + stat_bin2d(binwidth = c(1, 1000)) d + stat_bin2d(binwidth = c(.1, 500))

# Or with a list of breaks x <- seq(min(diamonds$carat), max(diamonds$carat), by = 0.1) y <- seq(min(diamonds$price), max(diamonds$price), length = 50) d + stat_bin2d(breaks = list(x = x, y = y))

# With qplot qplot(x, y, data = diamonds, geom="bin2d", xlim = c(4, 10), ylim = c(4, 10)) qplot(x, y, data = diamonds, geom="bin2d", binwidth = c(0.1, 0.1), xlim = c(4, 10), ylim = c(4, 10))

stat_binhex for hexagonal binning

Documentation reproduced from package ggplot2, version 1.0.1, License: GPL-2

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