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/*
* Copyright (c) 2022. JetBrains s.r.o.
* Use of this source code is governed by the MIT license that can be found in the LICENSE file.
*/
package org.jetbrains.letsPlot.geom
import org.jetbrains.letsPlot.Geom
import org.jetbrains.letsPlot.Stat
import org.jetbrains.letsPlot.intern.Options
import org.jetbrains.letsPlot.intern.Layer
import org.jetbrains.letsPlot.intern.layer.PosOptions
import org.jetbrains.letsPlot.intern.layer.SamplingOptions
import org.jetbrains.letsPlot.intern.layer.StatOptions
import org.jetbrains.letsPlot.intern.layer.WithColorOption
import org.jetbrains.letsPlot.intern.layer.WithFillOption
import org.jetbrains.letsPlot.intern.layer.geom.QQAesthetics
import org.jetbrains.letsPlot.intern.layer.geom.QQMapping
import org.jetbrains.letsPlot.intern.layer.stat.QQStatAesthetics
import org.jetbrains.letsPlot.intern.layer.stat.QQStatParameters
import org.jetbrains.letsPlot.pos.positionIdentity
import org.jetbrains.letsPlot.tooltips.TooltipOptions
@Suppress("ClassName")
/**
* Displays quantile-quantile plot.
*
* ## Notes
*
* The Q-Q plot is used for comparing two probability distributions
* (sample and theoretical) by plotting their quantiles against each other.
*
* If the two distributions being compared are similar, the points in the Q-Q plot
* will approximately lie on the straight line.
*
* Computed variables:
*
* - ..theoretical.. : theoretical quantiles.
* - ..sample.. : sample quantiles.
*
* ## Examples
*
* - [qq_plots.ipynb](https://nbviewer.org/github/JetBrains/lets-plot-docs/blob/master/source/kotlin_examples/cookbook/qq_plots.ipynb)
*
* @param 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][org.jetbrains.letsPlot.letsPlot].
* @param stat default = `Stat.qq()`. The statistical transformation to use on the data for this layer.
* Supported transformations: `Stat.identity`, `Stat.bin()`, `Stat.count()`, etc. see [Stat][org.jetbrains.letsPlot.Stat].
* @param position Position adjustment: `positionIdentity`, `positionStack()`, `positionDodge()`, etc. see
* [Position](https://lets-plot.org/kotlin/-lets--plot--kotlin/org.jetbrains.letsPlot.pos/).
* @param showLegend default = true.
* false - do not show legend for this layer.
* @param inheritAes default = true.
* false - do not combine the layer aesthetic mappings with the plot shared mappings.
* @param manualKey String or result of the call to the `layerKey()` function.
* The key to show in the manual legend. Specifies the text for the legend label or advanced settings using the `layerKey()` function.
* @param 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](https://lets-plot.org/kotlin/sampling.html).
* @param tooltips Result of the call to the layerTooltips() function.
* Specifies appearance, style and content.
* @param distribution default = "norm".
* Distribution function to use: "norm", "uniform", "t", "gamma", "exp", "chi2".
* @param 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)).
* @param colorBy default = "color" ("fill", "color", "paint_a", "paint_b", "paint_c").
* Defines the color aesthetic for the geometry.
* @param fillBy default = "fill" ("fill", "color", "paint_a", "paint_b", "paint_c").
* Defines the fill aesthetic for the geometry.
* @param sample Y-axis value.
* @param alpha Transparency level of a layer. Understands numbers between 0 and 1.
* @param color Color of the geometry.
* For more info see: [aesthetics.html#color-and-fill](https://lets-plot.org/kotlin/aesthetics.html#color-and-fill).
* @param fill Color to paint shape's inner points.
* Is applied only to the points of shapes having inner points.
* For more info see: [aesthetics.html#color-and-fill](https://lets-plot.org/kotlin/aesthetics.html#color-and-fill).
* @param shape Shape of the point.
* For more info see: [aesthetics.html#point-shapes](https://lets-plot.org/kotlin/aesthetics.html#point-shapes).
* @param size Size of the point.
* @param stroke Width of the shape border. Applied only to the shapes having border.
* @param mapping Set of aesthetic mappings.
* Aesthetic mappings describe the way that variables in the data are
* mapped to plot "aesthetics".
*/
class geomQQ(
data: Map<*, *>? = null,
stat: StatOptions = Stat.qq(),
position: PosOptions = positionIdentity,
showLegend: Boolean = true,
inheritAes: Boolean? = null,
manualKey: Any? = null,
sampling: SamplingOptions? = null,
tooltips: TooltipOptions? = null,
override val sample: Number? = null,
override val alpha: Number? = null,
override val color: Any? = null,
override val fill: Any? = null,
override val shape: Any? = null,
override val size: Number? = null,
override val stroke: Number? = null,
override val distribution: String? = null,
override val dParams: List? = null,
override val colorBy: String? = null,
override val fillBy: String? = null,
mapping: QQMapping.() -> Unit = {}
) : QQAesthetics,
QQStatAesthetics,
QQStatParameters,
WithColorOption,
WithFillOption,
Layer(
mapping = QQMapping().apply(mapping).seal(),
data = data,
geom = Geom.qq(),
stat = stat,
position = position,
showLegend = showLegend,
inheritAes = inheritAes,
manualKey = manualKey,
sampling = sampling,
tooltips = tooltips
) {
override fun seal(): Options {
return super.seal() +
super.seal() +
super.seal() +
super.seal() +
super.seal()
}
}
