Stat
object Stat
Stat options to pass as a value of stat
parameter of layer functions like:
val n = 100
val rand = java.util.Random(42)
val data = mapOf("x" to List(n) { rand.nextGaussian() })
letsPlot(data) +
geomArea(stat = Stat.density()) { x="x" }
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Types
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class boxplotOutlier(val coef: Number? = null, val mapping: BoxplotStatMapping.() -> Unit = {}) : StatOptions, BoxplotOutlierStatParameters
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class contourFilled(val bins: Int? = null, val binWidth: Number? = null, val mapping: ContourStatMapping.() -> Unit = {}) : StatOptions, ContourStatParameters
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class densityRidges(val tailsCutoff: Number? = null, val quantiles: List<Number>? = 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 mapping: DensityRidgesStatMapping.() -> Unit = {}) : StatOptions, DensityRidgesStatParameters
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class summaryBin(val fn: String? = null, val fnMin: String? = null, val fnMax: String? = null, val quantiles: List<Number>? = null, val bins: Int? = null, val binWidth: Number? = null, val center: Number? = null, val boundary: Number? = null, val threshold: Number? = null, val mapping: SummaryBinStatMapping.() -> Unit = {}) : StatOptions, SummaryBinStatParameters
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class yDensity(val scale: String? = null, val tailsCutoff: Number? = 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, val mapping: YDensityStatMapping.() -> Unit = {}) : StatOptions, YDensityStatParameters