stat_bin2d {ggplot2} | R Documentation |
Count number of observation in rectangular bins.
stat_bin2d(mapping = NULL, data = NULL, geom = NULL, position = "identity", bins = 30, drop = TRUE, ...)
bins |
numeric vector giving number of bins in both vertical and horizontal directions. Set to 30 by default. |
drop |
if |
mapping |
The aesthetic mapping, usually constructed
with |
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
|
stat_bin2d
understands the following aesthetics (required aesthetics are in bold):
x
y
fill
stat_binhex
for hexagonal binning
d <- ggplot(diamonds, aes(carat, price)) d + stat_bin2d() d + geom_bin2d() # 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))