geomDensity

class geomDensity(val data: Map<*, *>? = null, val stat: StatOptions = Stat.density(), val position: PosOptions = positionIdentity, val showLegend: Boolean = true, val inheritAes: Boolean? = null, val manualKey: Any? = null, val sampling: SamplingOptions? = null, val tooltips: TooltipOptions? = null, val orientation: String? = null, val x: Number? = null, val y: Number? = null, val alpha: Number? = null, val color: Any? = null, val fill: Any? = null, val linetype: Any? = null, val size: Number? = null, val weight: Any? = null, val bw: Any? = null, val kernel: String? = null, val n: Int? = null, val trim: Boolean? = null, val adjust: Number? = null, val fullScanMax: Int? = null, val quantiles: List<Number>? = null, quantileLines: Boolean? = null, val colorBy: String? = null, val fillBy: String? = null, mapping: DensityMapping.() -> Unit = {}) : Layer, AreaAesthetics, DensityStatAesthetics, DensityStatParameters, WithColorOption, WithFillOption

Displays a density estimate, which is a smoothed version of the histogram.

Notes

Computed variables:

  • ..density.. : density estimate (mapped by default).

  • ..count.. : density * number of points.

  • ..scaled.. : density estimate, scaled to maximum of 1.

  • ..quantile.. : quantile estimate.

To hide axis tooltips, set "blank" or the result of elementBlank() to the axisTooltip or axisTooltipX parameter of the theme().

Examples

Parameters

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.

stat

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

position

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

showLegend

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

inheritAes

default = true. false - do not combine the layer aesthetic mappings with the plot shared mappings.

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.

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.

tooltips

Result of the call to the layerTooltips() function. Specifies appearance, style and content. Set tooltips = tooltipsNone to hide tooltips from the layer.

orientation

Specifies the axis that the layer's stat and geom should run along, default = "x". Possible values: "x", "y".

x

X-axis coordinates.

alpha

Transparency level of a layer. Understands numbers between 0 and 1.

color

Color of geometry lines. For more info see: aesthetics.html#color-and-fill.

size

Line width.

linetype

Type of the 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.

fill

Fill color. For more info see: aesthetics.html#color-and-fill.

weight

Used by "density" stat to compute weighted density.

bw

The method (or exact value) of bandwidth. Can be String ("nrd0" or "nrd") or Double.

kernel

The kernel used to calculate the density function. Choose among "gaussian", "cosine", "optcosine", "rectangular" (or "uniform"), "triangular", "biweight" (or "quartic"), "epanechikov" (or "parabolic").

n

The number of sampled points for plotting the function.

trim

default = false If false, each density is computed on the full range of the data. If true, each density is computed over the range of that group.

adjust

Adjusts the value of bandwidth by multiplying it. Changes how smooth the frequency curve is.

fullScanMax

Maximum size of data to use density computation with 'full scan'. For bigger data, less accurate but more efficient density computation is applied.

quantiles

List of Numbers, default = listOf(0.25, 0.5, 0.75). Draws horizontal lines at the given quantiles of the density estimate.

quantileLines

default = false. Shows the quantile lines.

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.

mapping

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

Constructors

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constructor(data: Map<*, *>? = null, stat: StatOptions = Stat.density(), position: PosOptions = positionIdentity, showLegend: Boolean = true, inheritAes: Boolean? = null, manualKey: Any? = null, sampling: SamplingOptions? = null, tooltips: TooltipOptions? = null, orientation: String? = null, x: Number? = null, y: Number? = null, alpha: Number? = null, color: Any? = null, fill: Any? = null, linetype: Any? = null, size: Number? = null, weight: Any? = null, bw: Any? = null, kernel: String? = null, n: Int? = null, trim: Boolean? = null, adjust: Number? = null, fullScanMax: Int? = null, quantiles: List<Number>? = null, quantileLines: Boolean? = null, colorBy: String? = null, fillBy: String? = null, mapping: DensityMapping.() -> Unit = {})

Properties

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open override val adjust: Number? = null
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open override val alpha: Number? = null
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open override val bw: Any? = null
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open override val color: Any? = null
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open override val colorBy: String? = null
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val data: Map<*, *>? = null
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open override val fill: Any? = null
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open override val fillBy: String? = null
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open override val fullScanMax: Int? = null
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val geom: GeomOptions
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open override val kernel: String? = null
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open override val linetype: Any? = null
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val manualKey: Any? = null
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val mapping: <Error class: unknown class>
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open override val n: Int? = null
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val orientation: String? = null
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val parameters: <Error class: unknown class>
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val position: PosOptions?
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open override val quantiles: List<Number>? = null
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val sampling: SamplingOptions? = null
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open override val size: Number? = null
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val stat: StatOptions
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open override val trim: Boolean? = null
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open override val weight: Any? = null
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open override val x: Number? = null
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open override val y: Number? = null