geom_quantiles | R Documentation |
In ggplot2
, geom_quantile()
is used to fit a quantile regression to the data and draws
the fitted quantiles with lines. However, geom_quantiles()
is mainly used to draw quantile lines
on serial axes. See examples
geom_quantiles(
mapping = NULL,
data = NULL,
stat = "quantile",
position = "identity",
...,
lineend = "butt",
linejoin = "round",
linemitre = 10,
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 |
stat |
The statistical transformation to use on the data for this layer, as a string. |
position |
Position adjustment, either as a string naming the adjustment
(e.g. |
... |
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_serialaxes_quantile
p <- ggplot(iris,
mapping = aes(
Sepal.Length = Sepal.Length,
Sepal.Width = Sepal.Width,
Petal.Length = Petal.Length,
Petal.Width = Petal.Width
)
) +
geom_path(alpha = 0.2) +
coord_serialaxes(scaling = "variable")
p + geom_quantiles(colour = c("red", "green", "blue"),
quantiles = c(0.25, 0.5, 0.75),
linewidth = 2)
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