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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.stat
import org.jetbrains.letsPlot.Stat
import org.jetbrains.letsPlot.intern.GeomKind
import org.jetbrains.letsPlot.intern.Options
import org.jetbrains.letsPlot.intern.layer.GeomOptions
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.WithColorOption
import org.jetbrains.letsPlot.intern.layer.WithFillOption
import org.jetbrains.letsPlot.intern.layer.geom.ViolinAesthetics
import org.jetbrains.letsPlot.intern.layer.geom.ViolinMapping
import org.jetbrains.letsPlot.intern.layer.stat.YDensityStatAesthetics
import org.jetbrains.letsPlot.intern.layer.stat.YDensityStatParameters
import org.jetbrains.letsPlot.pos.positionDodge
@Suppress("ClassName", "SpellCheckingInspection")
/**
* Displays a violin plot.
*
* @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 geom The geometry to display the y-density stat for this layer, default is violin,
* see [Geom][org.jetbrains.letsPlot.Geom].
* @param position default = `positionDodge()`. 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 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 x X-axis coordinates.
* @param y Y-axis coordinates.
* @param violinWidth Density scaled for the violin plot, according to area, counts or to a constant maximum width.
* @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 Fill color.
* For more info see: [aesthetics.html#color-and-fill](https://lets-plot.org/kotlin/aesthetics.html#color-and-fill).
* @param linetype Type of the line.
* Codes and names: 0 = "blank", 1 = "solid", 2 = "dashed", 3 = "dotted", 4 = "dotdash",
* 5 = "longdash", 6 = "twodash".
* For more info see: [aesthetics.html#line-types](https://lets-plot.org/kotlin/aesthetics.html#line-types).
* @param size Lines width.
* @param width Geometry width.
* @param weight Used by the stat to compute weighted density.
* @param scale default = "area".
* - If "area", all violins have the same area.
* - If "count", areas are scaled proportionally to the number of observations.
* - If "width", all violins have the same maximum width.
* @param tailsCutoff default = 3.0.
* Extends domain of each violin on `tailsCutoff * bw` if `trim = false`.
* @param bw The method (or exact value) of bandwidth. Either a string (choose among "nrd0" and "nrd") or a double.
* @param kernel The kernel we use to calculate the density function. Choose among "gaussian", "cosine", "optcosine",
* "rectangular" (or "uniform"), "triangular", "biweight" (or "quartic"), "epanechikov" (or "parabolic").
* @param n The number of sampled points for plotting the function.
* @param trim default = true.
* Trims the tails of the violins to the range of the data.
* @param adjust Adjusts the value of bandwidth by multiplying it. Changes how smooth the frequency curve is.
* @param fullScanMax Maximum size of data to use density computation with "full scan".
* For bigger data, less accurate but more efficient density computation is applied.
* @param quantiles default = listOf(0.25, 0.5, 0.75).
* Calculates given quantiles of the density estimate.
* @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 mapping Set of aesthetic mappings.
* Aesthetic mappings describe the way that variables in the data are
* mapped to plot "aesthetics".
*/
class statYDensity(
data: Map<*, *>? = null,
geom: GeomOptions = GeomOptions(GeomKind.VIOLIN),
position: PosOptions = positionDodge(),
showLegend: Boolean = true,
manualKey: Any? = null,
sampling: SamplingOptions? = null,
override val x: Number? = null,
override val y: Number? = null,
override val violinWidth: Number? = null,
override val alpha: Number? = null,
override val color: Any? = null,
override val fill: Any? = null,
override val linetype: Any? = null,
override val size: Number? = null,
override val width: Number? = null,
override val weight: Number? = null,
override val scale: String? = null,
override val tailsCutoff: Number? = null,
override val bw: Any? = null,
override val kernel: String? = null,
override val n: Int? = null,
override val trim: Boolean? = null,
override val adjust: Number? = null,
override val fullScanMax: Int? = null,
override val quantiles: List? = null,
override val colorBy: String? = null,
override val fillBy: String? = null,
mapping: ViolinMapping.() -> Unit = {}
) : ViolinAesthetics,
YDensityStatAesthetics,
YDensityStatParameters,
WithColorOption,
WithFillOption,
Layer(
mapping = ViolinMapping().apply(mapping).seal(),
data = data,
geom = geom,
stat = Stat.yDensity(),
position = position,
showLegend = showLegend,
manualKey = manualKey,
sampling = sampling
) {
override fun seal(): Options {
return super.seal() +
super.seal() +
super.seal() +
super.seal() +
super.seal()
}
}
