Add heatmap of 2d bin counts.
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 )
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
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))
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