# stat_bin2d

##### Count number of observation in rectangular bins.

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.

##### Aesthetics

# 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 0.9.3.1, License: GPL-2*