Quantile regression

This fits a quantile regression to the data and draws the fitted quantiles with lines. This is as a continuous analogue to geom_boxplot.

geom_quantile(mapping = NULL, data = NULL, stat = "quantile",
  position = "identity", ..., lineend = "butt", linejoin = "round",
  linemitre = 1, na.rm = FALSE, show.legend = NA, inherit.aes = TRUE)

stat_quantile(mapping = NULL, data = NULL, geom = "quantile",
  position = "identity", ..., quantiles = c(0.25, 0.5, 0.75),
  formula = NULL, method = "rq", method.args = list(), na.rm = FALSE,
  show.legend = NA, inherit.aes = TRUE)

Arguments

mapping	Set of aesthetic mappings created by aes or aes_. If specified and inherit.aes = TRUE (the default), it is combined with the default mapping at the top level of the plot. You must supply mapping if there is no plot mapping.
data	The data to be displayed in this layer. There are three options: If NULL, the default, the data is inherited from the plot data as specified in the call to ggplot. A data.frame, or other object, will override the plot data. All objects will be fortified to produce a data frame. See fortify for which variables will be created. A function will be called with a single argument, the plot data. The return value must be a data.frame., and will be used as the layer data.
position	Position adjustment, either as a string, or the result of a call to a position adjustment function.
...	other arguments passed on to layer. These are often aesthetics, used to set an aesthetic to a fixed value, like color = "red" or size = 3. They may also be parameters to the paired geom/stat.
lineend	Line end style (round, butt, square)
linejoin	Line join style (round, mitre, bevel)
linemitre	Line mitre limit (number greater than 1)
na.rm	If FALSE, the default, missing values are removed with a warning. If TRUE, missing values are silently removed.
show.legend	logical. Should this layer be included in the legends? NA, the default, includes if any aesthetics are mapped. FALSE never includes, and TRUE always includes.
inherit.aes	If FALSE, overrides the default aesthetics, rather than combining with them. This is most useful for helper functions that define both data and aesthetics and shouldn't inherit behaviour from the default plot specification, e.g. borders.
geom, stat	Use to override the default connection between geom_quantile and stat_quantile.
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.
method.args	List of additional arguments passed on to the modelling function defined by method.

Aesthetics

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

• x

• y

• alpha

• colour

• group

• linetype

• size

• weight

Computed variables

quantile

quantile of distribution

Examples

m <- ggplot(mpg, aes(displ, 1 / hwy)) + geom_point()
m + geom_quantile()
#> Loading required package: SparseM
#> 
#> Attaching package: ‘SparseM’
#> The following object is masked from ‘package:base’:
#> 
#>     backsolve
#> 
#> Attaching package: ‘quantreg’
#> The following object is masked from ‘package:survival’:
#> 
#>     untangle.specials
#> Smoothing formula not specified. Using: y ~ x
#> Warning: partial match of 'coef' to 'coefficients'
#> Warning: partial match of 'coef' to 'coefficients'
#> Warning: partial match of 'coef' to 'coefficients'
m + geom_quantile(quantiles = 0.5)
#> Smoothing formula not specified. Using: y ~ x
#> Warning: partial match of 'coef' to 'coefficients'
q10 <- seq(0.05, 0.95, by = 0.05)
m + geom_quantile(quantiles = q10)
#> Smoothing formula not specified. Using: y ~ x
#> Warning: partial match of 'coef' to 'coefficients'
#> Warning: partial match of 'coef' to 'coefficients'
#> Warning: partial match of 'coef' to 'coefficients'
#> Warning: partial match of 'coef' to 'coefficients'
#> Warning: partial match of 'coef' to 'coefficients'
#> Warning: partial match of 'coef' to 'coefficients'
#> Warning: partial match of 'coef' to 'coefficients'
#> Warning: partial match of 'coef' to 'coefficients'
#> Warning: partial match of 'coef' to 'coefficients'
#> Warning: partial match of 'coef' to 'coefficients'
#> Warning: partial match of 'coef' to 'coefficients'
#> Warning: partial match of 'coef' to 'coefficients'
#> Warning: partial match of 'coef' to 'coefficients'
#> Warning: partial match of 'coef' to 'coefficients'
#> Warning: partial match of 'coef' to 'coefficients'
#> Warning: partial match of 'coef' to 'coefficients'
#> Warning: partial match of 'coef' to 'coefficients'
#> Warning: partial match of 'coef' to 'coefficients'
#> Warning: partial match of 'coef' to 'coefficients'

# You can also use rqss to fit smooth quantiles
m + geom_quantile(method = "rqss")
#> Smoothing formula not specified. Using: y ~ qss(x, lambda = 1)
#> Warning: partial match of 'factor' to 'factors'
#> Warning: partial match of 'coef' to 'coefficients'
#> Warning: partial match of 'coef' to 'coefficients'
#> Warning: partial match of 'coef' to 'coefficients'
#> Warning: partial match of 'factor' to 'factors'
#> Warning: partial match of 'factor' to 'factors'
#> Warning: partial match of 'coef' to 'coefficients'
#> Warning: partial match of 'coef' to 'coefficients'
#> Warning: partial match of 'coef' to 'coefficients'
#> Warning: partial match of 'factor' to 'factors'
#> Warning: partial match of 'factor' to 'factors'
#> Warning: partial match of 'coef' to 'coefficients'
#> Warning: partial match of 'coef' to 'coefficients'
#> Warning: partial match of 'coef' to 'coefficients'
#> Warning: partial match of 'factor' to 'factors'
# Note that rqss doesn't pick a smoothing constant automatically, so
# you'll need to tweak lambda yourself
m + geom_quantile(method = "rqss", lambda = 0.1)
#> Smoothing formula not specified. Using: y ~ qss(x, lambda = 0.1)
#> Warning: partial match of 'factor' to 'factors'
#> Warning: partial match of 'coef' to 'coefficients'
#> Warning: partial match of 'coef' to 'coefficients'
#> Warning: partial match of 'coef' to 'coefficients'
#> Warning: partial match of 'factor' to 'factors'
#> Warning: partial match of 'factor' to 'factors'
#> Warning: partial match of 'coef' to 'coefficients'
#> Warning: partial match of 'coef' to 'coefficients'
#> Warning: partial match of 'coef' to 'coefficients'
#> Warning: partial match of 'factor' to 'factors'
#> Warning: partial match of 'factor' to 'factors'
#> Warning: partial match of 'coef' to 'coefficients'
#> Warning: partial match of 'coef' to 'coefficients'
#> Warning: partial match of 'coef' to 'coefficients'
#> Warning: partial match of 'factor' to 'factors'

# Set aesthetics to fixed value
m + geom_quantile(colour = "red", size = 2, alpha = 0.5)
#> Smoothing formula not specified. Using: y ~ x
#> Warning: partial match of 'coef' to 'coefficients'
#> Warning: partial match of 'coef' to 'coefficients'
#> Warning: partial match of 'coef' to 'coefficients'