stat_quantile {ggplot2}R Documentation

stat_quantile

Description

Continuous quantiles

Usage

stat_quantile(mapping=NULL, data=NULL, geom="quantile", position="identity", quantiles=c(0.25, 0.5, 0.75), formula=y ~ x, method=rq, 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
quantiles conditional quantiles of y to calculate and display
formula formula relating y variables to x variables
method NULL
na.rm NULL
... other arguments

Details

This page describes stat_quantile, 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_quantile. Aesthetics are mapped to variables in the data with the aes function: stat\_quantile(\code{aes}(x = var))

Author(s)

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

See Also

Examples

## Not run: 
msamp <- movies[sample(nrow(movies), 1000), ]
m <- ggplot(msamp, aes(y=rating, x=year)) + geom_point() 
m + stat_quantile()
m + stat_quantile(quantiles = 0.5)
m + stat_quantile(quantiles = seq(0.1, 0.9, by=0.1))

# Doesn't work.  Not sure why.
# m + stat_quantile(method = rqss, formula = y ~ qss(x), quantiles = 0.5)

# Add aesthetic mappings
m + stat_quantile(aes(weight=votes))

# Change scale
m + stat_quantile(aes(colour = ..quantile..), quantiles = seq(0.05, 0.95, by=0.05))
m + stat_quantile(aes(colour = ..quantile..), quantiles = seq(0.05, 0.95, by=0.05)) +
  scale_colour_gradient2(midpoint=0.5, low="green", mid="yellow", high="green")

# Set aesthetics to fixed value
m + stat_quantile(colour="red", size=2, linetype=2)

# Use qplot instead
qplot(year, rating, data=movies, geom="quantile")

## End(Not run)

[Package ggplot2 version 0.8.2 Index]