stat_qq {ggplot2}R Documentation

stat_qq

Description

Calculation for quantile-quantile plot

Usage

stat_qq(mapping=NULL, data=NULL, geom="point", position="identity", distribution=qnorm, na.rm=FALSE, ...)

Arguments

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
distribution NULL
na.rm NULL
... Other arguments passed to distribution function

Details

This page describes stat_qq, see layer and qplot for how to create a complete plot from individual components.

Value

A layer

Aesthetics

The following aesthetics can be used with stat_qq. Aesthetics are mapped to variables in the data with the aes function: stat\_qq(\code{aes}(x = var))

Author(s)

Hadley Wickham, http://had.co.nz/

See Also

Examples

## Not run: 
# From ?qqplot
y <- rt(200, df = 5)
qplot(sample = y, stat="qq")

# qplot is smart enough to use stat_qq if you use sample
qplot(sample = y)
qplot(sample = precip)

qplot(sample = y, dist = qt, df = 5)
qplot(sample = y, quantiles = seq(0,1, length=100))

df <- data.frame(y)
ggplot(df, aes(sample = y)) + stat_qq()
ggplot(df, aes(sample = y)) + geom_point(stat = "qq")

# Using to explore the distribution of a variable
qplot(sample = mpg, data = mtcars)
qplot(sample = mpg, data = mtcars, colour = factor(cyl))    
## End(Not run)

[Package ggplot2 version 0.8.2 Index]