All Downloads are FREE. Search and download functionalities are using the official Maven repository.

commonMain.org.jetbrains.letsPlot.geom.geom_smooth.kt Maven / Gradle / Ivy

The newest version!
/*
 * Copyright (c) 2021. 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.Stat
import org.jetbrains.letsPlot.intern.GeomKind
import org.jetbrains.letsPlot.intern.Layer
import org.jetbrains.letsPlot.intern.Options
import org.jetbrains.letsPlot.intern.layer.*
import org.jetbrains.letsPlot.intern.layer.geom.SmoothAesthetics
import org.jetbrains.letsPlot.intern.layer.geom.SmoothMapping
import org.jetbrains.letsPlot.intern.layer.stat.SmoothStatParameters
import org.jetbrains.letsPlot.pos.positionIdentity
import org.jetbrains.letsPlot.tooltips.TooltipOptions

@Suppress("ClassName")
/**
 * Adds a smoothed conditional mean.
 *
 * ## Notes
 *
 * `geomSmooth()` aids the eye in seeing patterns in the presence of overplotting.
 *
 * Computed variables:
 *
 * - ..y.. : predicted (smoothed) value.
 * - ..ymin.. : lower pointwise confidence interval around the mean.
 * - ..ymax.. : upper pointwise confidence interval around the mean.
 * - ..se.. : standard error.
 *
 * To hide axis tooltips, set "blank" or the result of `elementBlank()`
 * to the `axisTooltip` or `axisTooltipX` parameter of the `theme()`.
 *
 * ## Examples
 *
 * - [geom_smooth.ipynb](https://nbviewer.org/github/JetBrains/lets-plot-docs/blob/master/source/kotlin_examples/cookbook/geom_smooth.ipynb)
 *
 * - [scatter_plot.ipynb](https://nbviewer.org/github/JetBrains/lets-plot-docs/blob/master/source/kotlin_examples/cookbook/scatter_plot.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.smooth()`. 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.
 *  Set `tooltips = tooltipsNone` to hide tooltips from the layer.
 * @param orientation Specifies the axis that the layer's stat and geom should run along, default = "x".
 *  Possible values: "x", "y".
 * @param x X-axis value.
 * @param y Predicted (smoothed) value.
 * @param ymin Lower pointwise confidence interval around the mean.
 * @param ymax Upper pointwise confidence interval around the mean.
 * @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 Filling color for the confidence interval around the line.
 *  For more info see: [aesthetics.html#color-and-fill](https://lets-plot.org/kotlin/aesthetics.html#color-and-fill).
 * @param size Lines width.
 *  Defines line width for conditional mean and confidence bounds lines.
 * @param linetype Type of the line of conditional mean line.
 *  Accept codes or names (0 = "blank", 1 = "solid", 2 = "dashed", 3 = "dotted", 4 = "dotdash", 5 = "longdash", 6 = "twodash"),
 *  a hex string (up to 8 digits for dash-gap lengths),
 *  or a pattern `offset to listOf(dash, gap, ...)` / `listOf(dash, gap, ...)`.
 *  For more info see: [aesthetics.html#line-types](https://lets-plot.org/kotlin/aesthetics.html#line-types).
 * @param method default = "lm".
 *  Smoothing method: lm (Linear Model) or loess (Locally Estimated Scatterplot Smoothing).
 * @param n default = 80. Number of points to evaluate smoother at.
 * @param se default = true. To display confidence interval around smooth.
 * @param level default = 0.95. Level of confidence interval to use.
 * @param span default = 0.5.
 *  Only for LOESS method. The fraction of source points closest to the current point
 *  is taken into account for computing a least-squares regression. A sensible value is usually 0.25 to 0.5.
 * @param deg default = 1. Degree of polynomial for linear regression model.
 * @param seed Random seed for LOESS sampling.
 * @param maxN default = 1000. Maximum number of data-points for LOESS method.
 *  If this quantity exceeded random sampling is applied to data.
 * @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 geomSmooth(
    data: Map<*, *>? = null,
    stat: StatOptions = Stat.smooth(),
    position: PosOptions = positionIdentity,
    showLegend: Boolean = true,
    inheritAes: Boolean? = null,
    manualKey: Any? = null,
    sampling: SamplingOptions? = null,
    tooltips: TooltipOptions? = null,
    orientation: String? = null,
    override val x: Number? = null,
    override val y: Number? = null,
    override val ymin: Number? = null,
    override val ymax: Number? = null,
    override val size: Number? = null,
    override val linetype: Any? = null,
    override val color: Any? = null,
    override val fill: Any? = null,
    override val alpha: Number? = null,
    override val method: String? = null,
    override val n: Int? = null,
    override val level: Number? = null,
    override val se: Boolean? = null,
    override val span: Number? = null,
    override val deg: Int? = null,
    override val seed: Long? = null,
    override val maxN: Int? = null,
    override val colorBy: String? = null,
    override val fillBy: String? = null,
    mapping: SmoothMapping.() -> Unit = {}
) : SmoothAesthetics,
    SmoothStatParameters,
    WithColorOption,
    WithFillOption,
    Layer(
        mapping = SmoothMapping().apply(mapping).seal(),
        data = data,
        geom = GeomOptions(GeomKind.SMOOTH),
        stat = stat,
        position = position,
        showLegend = showLegend,
        inheritAes = inheritAes,
        manualKey = manualKey,
        sampling = sampling,
        tooltips = tooltips,
        orientation = orientation
    ) {
    override fun seal(): Options {
        return super.seal() +
                super.seal() +
                super.seal() +
                super.seal()
    }
}




© 2015 - 2024 Weber Informatics LLC | Privacy Policy