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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.bistro.residual
/**
* Produces a residual plot that shows the difference between the observed response and the fitted response values.
*
* ## Examples
*
* - [residual_plot.ipynb](https://nbviewer.org/github/JetBrains/lets-plot-docs/blob/master/source/kotlin_examples/cookbook/residual_plot.ipynb)
*
* @param data The data to be displayed.
* @param x Name of independent variable.
* @param y Name of dependent variable that will be fitted.
* @param method default = "lm" ("lm", "loess", "lowess", "none").
* Fitting method: "lm" (Linear Model) or "loess"/"lowess" (Locally Estimated Scatterplot Smoothing).
* If value of `deg` parameter is greater than 1 then linear model becomes polynomial of the given degree.
* If method is "none" then data lives as is.
* @param deg default = 1.
* Degree of polynomial for linear regression model.
* @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 seed Random seed for "loess" sampling.
* @param maxN Maximum number of data-points for "loess" method.
* If this quantity exceeded random sampling is applied to data.
* @param geom default = "point" ("point", "tile", "none").
* The geometric object to use to display the data. No object will be used if `geom="none"`.
* @param bins Number or a Pair of Numbers.
* Number of bins in both directions, vertical and horizontal. Overridden by `binWidth`.
* If only one value given - interpret it as list of two equal values.
* Applicable simultaneously for "tile" geom and "histogram" marginal.
* @param binWidth Number or a Pair of Numbers.
* The width of the bins in both directions, vertical and horizontal.
* Overrides `bins`. The default is to use bin widths that cover the entire range of the data.
* If only one value given - interpret it as list of two equal values.
* Applicable simultaneously for "tile" geom and "histogram" marginal.
* @param color Color of a geometry.
* For more info see: [aesthetics.html#color-and-fill](https://lets-plot.org/kotlin/aesthetics.html#color-and-fill).
* @param size Size of a geometry.
* @param alpha Transparency level of a geometry.
* Understands numbers between 0 and 1.
* @param colorBy Name of grouping variable.
* @param showLegend default = true.
* false - do not show legend the main layer.
* @param hline default = true.
* false - do not show horizontal line passing through 0.
* @param marginal default = "dens:r".
* Description of marginal layers packed to string value.
* Different marginals are separated by the ',' char.
* Parameters of a marginal are separated by the ':' char.
*
* First parameter of a marginal is a geometry name.
* Possible values: "dens"/"density", "hist"/"histogram", "box"/"boxplot".
*
* Second parameter is a string specifying which sides of the plot the marginal layer will appear on.
* Possible values: 't' (top), 'b' (bottom), 'l' (left), 'r' (right).
*
* Third parameter (optional) is size of marginal.
* To suppress marginals use `marginal="none"`.
*
* Examples:
* - "hist:tr:0.3",
* - "dens:tr,hist:bl",
* - "box:tr:.05, hist:bl, dens:bl".
*/
fun residualPlot(
data: Map<*, *>,
x: String,
y: String,
method: String? = null,
deg: Int? = null,
span: Double? = null,
seed: Long = ResidualPlotBuilder.SAMPLING_SEED_DEF,
maxN: Int = ResidualPlotBuilder.LOESS_CRITICAL_SIZE_DEF,
geom: String? = ResidualPlotBuilder.DEF_GEOM,
bins: Any? = null,
binWidth: Any? = null,
color: String? = null,
size: Number? = null,
alpha: Number? = null,
colorBy: String? = null,
showLegend: Boolean = true,
hline: Boolean = true,
marginal: String = ResidualPlotBuilder.DEF_MARGINAL
) = ResidualPlotBuilder(
data,
x,
y,
method,
deg,
span,
maxN,
seed,
geom,
bins,
binWidth,
color,
size,
alpha,
colorBy,
showLegend,
hline,
marginal
).build()