geom_bin2d {animint2} | R Documentation |
Add heatmap of 2d bin counts.
Description
Add heatmap of 2d bin counts.
Usage
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
)
Arguments
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 |
Aesthetics
stat_bin2d
understands the following aesthetics (required aesthetics are in bold):
x
y
fill
See Also
stat_binhex
for hexagonal binning
Examples
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))