Count number of observation in rectangular bins.

Count number of observation in rectangular bins.

stat_bin2d(mapping = NULL, data = NULL, geom = NULL,
  position = "identity", bins = 30, drop = TRUE, ...)
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.
A layer specific dataset - only needed if you want to override the plot defaults.
The geometric object to use display the data
The position adjustment to use for overlappling points on this layer
numeric vector giving number of bins in both vertical and horizontal directions. Set to 30 by default.
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.

[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

  • stat_bin2d
Documentation reproduced from package ggplot2, version 1.0.1, License: GPL-2

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