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 NULL, the default, the data is inherited from the plot data as specified in the call to 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. A function can be created from a formula (e.g. ~ head(.x, 10)). | |
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 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. It can also be a named logical vector to finely select the aesthetics to display. | |
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 | |
quantiles |
conditional quantiles of y to calculate and display | |
formula |
formula relating y variables to x variables | |
method |
Quantile regression method to use. Available options are "rq" (for quantreg::rq()) and "rqss" (for quantreg::rqss()). | |
method.args |
List of additional arguments passed on to the modelling function defined by method. |
geom_quantile() understands the following aesthetics (required aesthetics are in bold)
:
x
y
alpha
color
group
linetype
size
weight
Learn more about setting these aesthetics in vignette("cxplot-specs").
quantile
var cxp = new cxplot("canvas1", mpg, aes("displ", "hwy"));
cxp.geom_point();
cxp.geom_quantile();
var cxp = new cxplot("canvas2", mpg, aes("displ", "hwy"));
cxp.geom_point();
cxp.geom_quantile({"quantiles": [0.5]});
var cxp = new cxplot("canvas3", mpg, aes("displ", "hwy"));
cxp.geom_point();
cxp.geom_quantile({"quantiles": [0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9]});