stat_bin {ggplot2} | R Documentation |
Missing values are currently silently dropped.
stat_bin(mapping = NULL, data = NULL, geom = "bar", position = "stack", width = 0.9, drop = FALSE, right = FALSE, binwidth = NULL, origin = NULL, breaks = NULL, ...)
binwidth |
Bin width to use. Defaults to 1/30 of the range of the data |
breaks |
Actual breaks to use. Overrides bin width and origin |
origin |
Origin of first bin |
width |
Width of bars when used with categorical data |
right |
If |
drop |
If TRUE, remove all bins with zero counts |
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
|
New data frame with additional columns:
count |
number of points in bin |
density |
density of points in bin, scaled to integrate to 1 |
ncount |
count, scaled to maximum of 1 |
ndensity |
density, scaled to maximum of 1 |
stat_bin
understands the following aesthetics (required aesthetics are in bold):
x
y
simple <- data.frame(x = rep(1:10, each = 2)) base <- ggplot(simple, aes(x)) # By default, right = TRUE, and intervals are of the form (a, b] base + stat_bin(binwidth = 1, drop = FALSE, right = TRUE, col = "black") # If right = FALSE intervals are of the form [a, b) base + stat_bin(binwidth = 1, drop = FALSE, right = FALSE, col = "black") m <- ggplot(movies, aes(x=rating)) m + stat_bin() m + stat_bin(binwidth=0.1) m + stat_bin(breaks=seq(4,6, by=0.1)) # See geom_histogram for more histogram examples # To create a unit area histogram, use aes(y = ..density..) (linehist <- m + stat_bin(aes(y = ..density..), binwidth=0.1, geom="line", position="identity")) linehist + stat_density(colour="blue", fill=NA) # Also works with categorical variables ggplot(movies, aes(x=mpaa)) + stat_bin() qplot(mpaa, data=movies, stat="bin")