qqPlot

fun qqPlot(data: Map<*, *>, sample: String? = null, x: String? = null, y: String? = null, distribution: String? = null, dParams: List<Number>? = null, quantiles: <Error class: unknown class><Number, Number>? = null, group: String? = null, showLegend: Boolean = true, color: String? = null, fill: String? = null, alpha: Number? = null, size: Number? = null, shape: Int? = null, lineColor: String? = null, lineSize: Number? = null, linetype: Any? = null): Plot

Produces a Q-Q plot (quantile-quantile plot).

Supply the sample parameter to compare distribution of observations with a theoretical distribution ('normal' or as otherwise specified by the distribution parameter). Alternatively, supply x and y parameters to compare the distribution of x with the distribution of y.

Examples

Parameters

data

The data to be displayed in this layer. If null, the default, the data is inherited from the plot data as specified in the call to letsPlot.

sample

Name of variable. Specifies a vector of observations used for computing of "sample quantiles". Use this parameter to produce a "sample vs. theoretical" Q-Q plot.

x

Name of variable specifying a vector of observations used for computing of x "sample quantiles". Use x and y parameters to produce a "sample X vs. sample Y" Q-Q plot.

y

Name of variable specifying a vector of observations used for computing of y "sample quantiles". Use x and y parameters to produce a "sample X vs. sample Y" Q-Q plot.

distribution

default = "norm". Distribution function to use: "norm", "uniform", "t", "gamma", "exp", "chi2". Could be specified if sample is.

dParams

Additional parameters passed on to distribution function. Could be specified if sample is.

  • If distribution is "norm" then dParams is a pair (mean, std) (default = listOf(0.0, 1.0)).

  • If distribution is "uniform" then dParams is a pair (a, b) (default = listOf(0.0, 1.0)).

  • If distribution is "t" then dParams is an integer number (d) (default = listOf(1)).

  • If distribution is "gamma" then dParams is a pair (alpha, beta) (default = listOf(1.0, 1.0)).

  • If distribution is "exp" then dParams is a float number (lambda) (default = listOf(1.0)).

  • If distribution is "chi2" then dParams is an integer number (k) (default = listOf(1)).

quantiles

default = Pair(0.25, 0.75). Pair of quantiles to use when fitting the Q-Q line.

group

Grouping parameter. If it is specified and color-parameters isn't then different groups will have different colors.

showLegend

default = true. false - do not show legend for this layer.

color

Color of a points. String in the following formats:

  • RGB/RGBA (e.g. "rgb(0, 0, 255)")

  • HEX (e.g. "#0000FF")

  • color name (e.g. "red")

  • role name ("pen", "paper" or "brush")

Or an instance of the java.awt.Color class.

fill

Color to paint shape's inner points. Is applied only to the points of shapes having inner points.

alpha

default = 0.5. Transparency level of a points. Understands numbers between 0 and 1.

size

default = 3.0. Size of the points.

shape

Shape of the points.

lineColor

default = "#FF0000". Color of the fitting line.

lineSize

default = 0.75. Width of the fitting line.

linetype

Int or String. Type of the fitting line. Codes and names: 0 = "blank", 1 = "solid", 2 = "dashed", 3 = "dotted", 4 = "dotdash", 5 = "longdash", 6 = "twodash"