core/org.jetbrains.kotlinx.dataframe.math/QuantileEstimationMethod/Selecting

Selecting

sealed interface Selecting : QuantileEstimationMethod<Comparable<Any>, Int>

Inheritors

Types

data object R1 : QuantileEstimationMethod.Selecting

Inverse of the empirical distribution function.

data object R3 : QuantileEstimationMethod.Selecting

The observation closest to count * p

Functions

cast

internal fun <T : Comparable<T>> QuantileEstimationMethod.Selecting.cast(): QuantileEstimationMethod<T, Int>

indexOfQuantile

internal fun <IndexType : Number> QuantileEstimationMethod<*, IndexType>.indexOfQuantile(p: Double, count: Int): IndexType

oneBasedIndexOfQuantile

abstract fun oneBasedIndexOfQuantile(p: Double, count: Int): Int

Gives the (1-based) index of the p-quantile for a distribution of size count. If the result h is a whole number, the h'th smallest of the count values is the quantile estimate. If not, h is an estimation of the index of the p-quantile. Rounding or interpolation needs to occur to get the actual quantile estimate.

quantile

abstract fun quantile(p: Double, values: List<Comparable<Any>>): Comparable<Any>

quantile

internal fun <T : Comparable<T>> QuantileEstimationMethod.Selecting.quantile(p: Double, values: List<T>): T