stat_bin: Bin data.

Description

Missing values are currently silently dropped.

Usage

stat_bin(mapping = NULL, data = NULL, geom = "bar",
    position = "stack", width = 0.9, drop = FALSE,
    right = FALSE, binwidth = NULL, origin = NULL,
    breaks = NULL, ...)

Arguments

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 TRUE, right-closed, left-open, if FALSE,

drop

If TRUE, remove all bins with zero counts

mapping

The aesthetic mapping, usually constructed with aes or aes_string. Only needs to be set at the layer level if you are overriding the plot defaults.

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 layer. This can include aesthetics whose values you want to set, not map. See layer for more details.

Value

New data frame with additional columns:
countnumber of points in bin
densitydensity of points in bin, scaled to integrate to 1
ncountcount, scaled to maximum of 1
ndensitydensity, scaled to maximum of 1

Aesthetics

[results=rd,stage=build]{ggplot2:::rd_aesthetics("stat", "bin")} 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")