Continuous quantiles.

Usage

stat_quantile(mapping = NULL, data = NULL, geom = "quantile", position = "identity", 
  quantiles = c(0.25, 0.5, 0.75), formula = NULL, method = "rq", na.rm = FALSE, 
      ...)

Arguments

quantiles
conditional quantiles of y to calculate and display
formula
formula relating y variables to x variables
method
Quantile regression method to use. Currently only supports rq.
na.rm
If FALSE (the default), removes missing values with a warning. If TRUE silently removes missing values.
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

a data.frame with additional columns: quantilequantile of distribution

Description

Continuous quantiles.

Aesthetics

stat_quantile understands the following aesthetics (required aesthetics are in bold):

  • x
  • y

Examples

msamp <- movies[sample(nrow(movies), 1000), ] m <- ggplot(msamp, aes(year, rating)) + geom_point() m + stat_quantile()
Smoothing formula not specified. Using: y ~ x

m + stat_quantile(quantiles = 0.5)
Smoothing formula not specified. Using: y ~ x

q10 <- seq(0.05, 0.95, by=0.05) m + stat_quantile(quantiles = q10)
Smoothing formula not specified. Using: y ~ x

# You can also use rqss to fit smooth quantiles m + stat_quantile(method = "rqss")

# Note that rqss doesn't pick a smoothing constant automatically, so # you'll need to tweak lambda yourself m + stat_quantile(method = "rqss", lambda = 10)

m + stat_quantile(method = "rqss", lambda = 100)

# Use 'votes' as weights for the quantile calculation m + stat_quantile(aes(weight=votes))
Smoothing formula not specified. Using: y ~ x

# Change scale m + stat_quantile(aes(colour = ..quantile..), quantiles = q10)
Smoothing formula not specified. Using: y ~ x

m + stat_quantile(aes(colour = ..quantile..), quantiles = q10) + scale_colour_gradient2(midpoint = 0.5)
Smoothing formula not specified. Using: y ~ x

# Set aesthetics to fixed value m + stat_quantile(colour = "red", size = 2, linetype = 2)
Smoothing formula not specified. Using: y ~ x

# Use qplot instead qplot(year, rating, data=movies, geom="quantile")
Smoothing formula not specified. Using: y ~ x