Heatmap of 2d bin counts
Divides the plane into rectangles, counts the number of cases in
each rectangle, and then (by default) maps the number of cases to the
rectangle's fill. This is a useful alternative to geom_point()
in the presence of overplotting.
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 )
mapping |
Set of aesthetic mappings created by |
data |
The data to be displayed in this layer. There are three options: If A A |
position |
Position adjustment, either as a string, or the result of a call to a position adjustment function. |
... |
Other arguments passed on to |
na.rm |
If |
show.legend |
logical. Should this layer be included in the legends?
|
inherit.aes |
If |
geom, stat |
Use to override the default connection between
|
bins |
numeric vector giving number of bins in both vertical and horizontal directions. Set to 30 by default. |
binwidth |
Numeric vector giving bin width in both vertical and
horizontal directions. Overrides |
drop |
if |
stat_bin2d()
understands the following aesthetics (required aesthetics are in bold):
x
y
fill
group
Learn more about setting these aesthetics in vignette("ggplot2-specs")
.
number of points in bin
density of points in bin, scaled to integrate to 1
count, scaled to maximum of 1
density, scaled to maximum of 1
stat_binhex()
for hexagonal binning
d <- ggplot(diamonds, aes(x, y)) + xlim(4, 10) + ylim(4, 10) d + geom_bin2d() # You can control the size of the bins by specifying the number of # bins in each direction: d + geom_bin2d(bins = 10) d + geom_bin2d(bins = 30) # Or by specifying the width of the bins d + geom_bin2d(binwidth = c(0.1, 0.1))
Please choose more modern alternatives, such as Google Chrome or Mozilla Firefox.