Add heatmap of 2d bin counts.


geom_bin2d(mapping = NULL, data = NULL, stat = "bin2d", position = "identity", ..., na.rm = FALSE, show.legend = NA, inherit.aes = TRUE)
stat_bin_2d(mapping = NULL, data = NULL, geom = "tile", position = "identity", ..., bins = 30, binwidth = NULL, drop = TRUE, na.rm = FALSE, show.legend = NA, inherit.aes = TRUE)


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.
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.
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 color = "red" or size = 3. They may also be parameters to the paired geom/stat.
If FALSE (the default), removes missing values with a warning. If TRUE silently removes missing values.
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.
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.
geom, stat
Use to override the default connection between geom_bin2d and stat_bin2d.
numeric vector giving number of bins in both vertical and horizontal directions. Set to 30 by default.
Numeric vector giving bin width in both vertical and horizontal directions. Overrides bins if both set.
if TRUE removes all cells with 0 counts.


Add heatmap of 2d bin counts.


stat_bin2d understands the following aesthetics (required aesthetics are in bold):

  • x
  • y
  • fill


d <- ggplot(diamonds, aes(x, y)) + xlim(4, 10) + ylim(4, 10) d + geom_bin2d()
Warning message: Removed 478 rows containing non-finite values (stat_bin2d).

# You can control the size of the bins by specifying the number of # bins in each direction: d + geom_bin2d(bins = 10)
Warning message: Removed 478 rows containing non-finite values (stat_bin2d). Warning message: Removed 4 rows containing missing values (geom_tile).

d + geom_bin2d(bins = 30)
Warning message: Removed 478 rows containing non-finite values (stat_bin2d).

# Or by specifying the width of the bins d + geom_bin2d(binwidth = c(0.1, 0.1))
Warning message: Removed 478 rows containing non-finite values (stat_bin2d).

See also

stat_binhex for hexagonal binning