KSLCore/ksl.utilities.statistic/MultipleComparisonAnalyzer/Companion

Companion

object Companion

Functions

checkLengths

fun checkLengths(dataMap: Map<String, DoubleArray>): Boolean

Checks if each double[] in the map has the same length

computeDifference

fun computeDifference(f: DoubleArray, s: DoubleArray): DoubleArray

A helper method to compute the difference between the two arrays

create

fun create(dataMap: Map<String, List<Double>>, responseName: String? = null): MultipleComparisonAnalyzer

Creates multiple comparison analyzer from the supplied data.

mvtQuantile

fun mvtQuantile(level: Double, dof: Int, nDim: Int): Double

The quantile from a multi-variate t-distribution with common correlation of 0.5. This is table look up for values of Table B.3 from Bechhofer, Santner, and Goldsman (1995) "Design and Analysis of Experiments for Statistical Selection, Screening, and Multiple Comparisons"

mvtQuantile90

fun mvtQuantile90(dof: Int, nDim: Int): Double

mvtQuantile95

fun mvtQuantile95(dof: Int, nDim: Int): Double

mvtQuantile99

fun mvtQuantile99(dof: Int, nDim: Int): Double

qtukey

fun qtukey(p: Double, nMeans: Double, dof: Double): Double

rinottConstant

fun rinottConstant(numTreatments: Int, pStar: Double, dof: Int): Double

Calculates Rinott constants as per Table 2.13 of Bechhofer et al.