geomQQLine

class geomQQLine(val data: Map<*, *>? = null, val stat: StatOptions = Stat.qqLine(), val position: PosOptions = positionIdentity, val showLegend: Boolean = true, val sampling: SamplingOptions? = null, val tooltips: TooltipOptions? = null, val sample: Number? = null, val alpha: Number? = null, val color: Any? = null, val linetype: Any? = null, val size: Number? = null, val distribution: String? = null, val dParams: List<Number>? = null, val quantiles: <Error class: unknown class><Number, Number>? = null, val colorBy: String? = null, mapping: QQLineMapping.() -> Unit = {}) : Layer, QQLineAesthetics, QQStatAesthetics, QQLineStatParameters, WithColorOption

Displays quantile-quantile fitting line.

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.

stat

default = Stat.qqLine(). The statistical transformation to use on the data for this layer. Supported transformations: Stat.identity, Stat.bin(), Stat.count(), etc. see Stat.

position

Position adjustment: positionIdentity, positionStack(), positionDodge(), etc. see Position

showLegend

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

sampling

Result of the call to the samplingXxx() function. To prevent any sampling for this layer pass value samplingNone. For more info see sampling.html.

tooltips

Result of the call to the layerTooltips() function. Specifies appearance, style and content.

distribution

default = "norm". Distribution function to use: "norm", "uniform", "t", "gamma", "exp", "chi2".

dParams

Additional parameters passed on to distribution function.

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

colorBy

default = "color" ("fill", "color", "paint_a", "paint_b", "paint_c"). Defines the color aesthetic for the geometry.

sample

Y-axis value.

alpha

Transparency level of a layer. Understands numbers between 0 and 1.

color

Color of the geometry. 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.

linetype

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

size

Line width.

mapping

Set of aesthetic mappings. Aesthetic mappings describe the way that variables in the data are mapped to plot "aesthetics".

Constructors

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constructor(data: Map<*, *>? = null, stat: StatOptions = Stat.qqLine(), position: PosOptions = positionIdentity, showLegend: Boolean = true, sampling: SamplingOptions? = null, tooltips: TooltipOptions? = null, sample: Number? = null, alpha: Number? = null, color: Any? = null, linetype: Any? = null, size: Number? = null, distribution: String? = null, dParams: List<Number>? = null, quantiles: <Error class: unknown class><Number, Number>? = null, colorBy: String? = null, mapping: QQLineMapping.() -> Unit = {})

Properties

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open override val alpha: Number? = null
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open override val color: Any? = null
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open override val colorBy: String? = null
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val data: Map<*, *>? = null
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open override val distribution: String? = null
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open override val dParams: List<Number>? = null
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val geom: GeomOptions
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open override val linetype: Any? = null
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val mapping: <Error class: unknown class>
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val orientation: String? = null
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val parameters: <Error class: unknown class>
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val position: PosOptions?
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open override val quantiles: <Error class: unknown class><Number, Number>? = null
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open override val sample: Number? = null
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val sampling: SamplingOptions? = null
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open override val size: Number? = null
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val stat: StatOptions
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