stat_bin {ggplot2} | R Documentation |
Bin data
stat_bin(mapping=NULL, data=NULL, geom="bar", position="stack", width=0.9, drop=TRUE, right=TRUE, ...)
mapping |
mapping between variables and aesthetics generated by aes |
data |
dataset used in this layer, if not specified uses plot dataset |
geom |
geometric used by this layer |
position |
position adjustment used by this layer |
width |
Width of bars when used with categorical data |
drop |
If TRUE (the default), remove all bins with zero counts |
right |
Should intervals be closed on the right (a, b], or not [a, b) |
... |
other arguments |
Missing values are currently silently dropped.
This page describes stat_bin, see layer
and qplot
for how to create a complete plot from individual components.
A layer
The following aesthetics can be used with stat_bin. Aesthetics are mapped to variables in the data with the aes function: stat\_bin(aes(x = var))
x
: x position (required)
y
: y position
Hadley Wickham, http://had.co.nz/
## Not run: 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") ## End(Not run)