ggplot2 (version 0.9.1)

stat_bin2d: Count number of observation in rectangular bins.

Description

Count number of observation in rectangular bins.

Usage

stat_bin2d(mapping = NULL, data = NULL, geom = NULL,
    position = "identity", bins = 30, drop = TRUE, ...)

Arguments

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.

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

...

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

See Also

stat_binhex for hexagonal binning

Examples

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))