geomBoxplot

fun geomBoxplot(data: Map<*, *>? = null, stat: StatOptions = Stat.boxplot(), position: PosOptions = positionDodge(), showLegend: Boolean = true, tooltips: TooltipOptions? = null, orientation: String? = null, x: Number? = null, y: Number? = null, lower: Number? = null, middle: Number? = null, upper: Number? = null, ymin: Number? = null, ymax: Number? = null, alpha: Number? = null, color: Any? = null, fill: Any? = null, size: Number? = null, stroke: Number? = null, linetype: Any? = null, shape: Any? = null, width: Any? = null, weight: Any? = null, outlierAlpha: Number? = null, outlierColor: Any? = null, outlierFill: Any? = null, outlierShape: Any? = null, outlierSize: Number? = null, outlierStroke: Number? = null, fatten: Number? = null, whiskerWidth: Number? = null, varWidth: Boolean? = null, coef: Number? = null, colorBy: String? = null, fillBy: String? = null, mapping: BoxplotMapping.() -> Unit = {}): FeatureList

Displays the distribution of data based on a five number summary ("minimum", first quartile (Q1), median, third quartile (Q3), and "maximum"), and "outlying" points individually.

Examples

Parameters

data

The data to be displayed. If null, the default, the data is inherited from the plot data as specified in the call to letsPlot.

stat

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

position

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

showLegend

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

tooltips

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

orientation

Specifies the axis that the layer's stat and geom should run along. The default value (null) automatically determines the orientation based on the aesthetic mapping. If the automatic detection doesn't work, it can be set explicitly by specifying the "x" or "y" orientation.

outlierAlpha

Default transparency aesthetic for outliers.

outlierColor

Color aesthetic for outliers.

outlierFill

Fill aesthetic for outliers.

outlierShape

Shape aesthetic for outliers.

outlierSize

Size aesthetic for outliers.

outlierStroke

Default width of the border for outliers.

varWidth

default = false. If false make a standard box plot. If true, boxes are drawn with widths proportional to the square-roots of the number of observations in the groups.

fatten

default = 1.0. A multiplicative factor applied to size of the middle bar.

whiskerWidth

default = 0.0. A multiplicative factor applied to the box width to draw horizontal segments on whiskers.

coef

default = 1.5. Length of the whiskers as multiple of IQR.

colorBy

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

fillBy

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

lower

Lower hinge, 25% quantile.

middle

Median, 50% quantile.

upper

Upper hinge, 75% quantile.

ymin

Lower whisker - the smallest observation greater than or equal to the lower hinge - 1.5 * IQR

ymax

Upper whisker - the largest observation less than or equal to the upper hinge + 1.5 * IQR

width

Width of boxplot. Typically ranges between 0 and 1. Values that are greater than 1 lead to overlapping of the boxes.

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.

fill

Fill color. 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.

size

Lines width.

linetype

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

mapping

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