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 = 10, 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)
mapping | Set of aesthetic mappings created by |
---|---|
data | The data to be displayed in this layer. There are three options: If A A |
position | Position adjustment, either as a string, or the result of a call to a position adjustment function. |
... | Other arguments passed on to |
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 |
show.legend | logical. Should this layer be included in the legends?
|
inherit.aes | If |
geom, stat | Use to override the default connection between
|
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
|
method.args | List of additional arguments passed on to the modelling
function defined by |
geom_quantile
understands the following aesthetics (required aesthetics are in bold):
x
y
alpha
colour
group
linetype
size
weight
Learn more about setting these aesthetics in vignette("ggplot2-specs")
quantile of distribution
#>#> #>#>#> #>#> #>#>#> #>#>m + geom_quantile(quantiles = 0.5)#>q10 <- seq(0.05, 0.95, by = 0.05) m + geom_quantile(quantiles = q10)#># You can also use rqss to fit smooth quantiles m + geom_quantile(method = "rqss")#># 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)#># Set aesthetics to fixed value m + geom_quantile(colour = "red", size = 2, alpha = 0.5)#>