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(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 0.8.9 Index]