gov.sandia.cognition.statistics.method

Class HolmCorrection.Statistic

java.lang.Object

gov.sandia.cognition.util.AbstractCloneableSerializable

gov.sandia.cognition.statistics.method.AbstractMultipleHypothesisComparison.Statistic

gov.sandia.cognition.statistics.method.AbstractPairwiseMultipleHypothesisComparison.Statistic

gov.sandia.cognition.statistics.method.HolmCorrection.Statistic

All Implemented Interfaces:

MultipleHypothesisComparison.Statistic, CloneableSerializable, java.io.Serializable, java.lang.Cloneable

Enclosing class:

HolmCorrection

public static class HolmCorrection.Statistic
extends AbstractPairwiseMultipleHypothesisComparison.Statistic

Test statistic from the Shaffer static multiple-comparison test

See Also:

Serialized Form

Field Summary

Fields

Modifier and Type	Field and Description
protected Matrix	adjustedAlphas Matrix of adjusted alphas (p-value thresholds) for each comparison

Fields inherited from class gov.sandia.cognition.statistics.method.AbstractPairwiseMultipleHypothesisComparison.Statistic

pairwiseTestStatistics

Fields inherited from class gov.sandia.cognition.statistics.method.AbstractMultipleHypothesisComparison.Statistic

nullHypothesisProbabilities, testStatistics, treatmentCount, uncompensatedAlpha

Constructor Summary

Constructors

Constructor and Description
Statistic(java.util.Collection<? extends java.util.Collection<? extends java.lang.Number>> data, double uncompensatedAlpha, NullHypothesisEvaluator<java.util.Collection<? extends java.lang.Number>> pairwiseTest) Creates a new instance of Statistic

Method Summary

Modifier and Type	Method and Description
double	getAdjustedAlpha(int i, int j) Gets the adjusted alpha (p-value threshold) for the given comparison

Methods inherited from class gov.sandia.cognition.statistics.method.AbstractPairwiseMultipleHypothesisComparison.Statistic

acceptNullHypothesis, clone, computePairwiseTestResults, getPairwiseTestStatistics

Methods inherited from class gov.sandia.cognition.statistics.method.AbstractMultipleHypothesisComparison.Statistic

getNullHypothesisProbability, getTestStatistic, getTreatmentCount, getUncompensatedAlpha, toString

Methods inherited from class java.lang.Object

equals, finalize, getClass, hashCode, notify, notifyAll, wait, wait, wait

Field Detail

adjustedAlphas

protected Matrix adjustedAlphas

Matrix of adjusted alphas (p-value thresholds) for each comparison

Constructor Detail

Statistic

public Statistic(java.util.Collection<? extends java.util.Collection<? extends java.lang.Number>> data,
                 double uncompensatedAlpha,
                 NullHypothesisEvaluator<java.util.Collection<? extends java.lang.Number>> pairwiseTest)

Creates a new instance of Statistic

Parameters:

data - Data from each treatment to consider

uncompensatedAlpha - Uncompensated alpha (p-value threshold) for the multiple comparison test

pairwiseTest - Confidence test used for pair-wise null-hypothesis tests.

Method Detail

getAdjustedAlpha

public double getAdjustedAlpha(int i,
                               int j)

Description copied from class: AbstractPairwiseMultipleHypothesisComparison.Statistic

Gets the adjusted alpha (p-value threshold) for the given comparison

Specified by:

getAdjustedAlpha in class AbstractPairwiseMultipleHypothesisComparison.Statistic

Parameters:

i - First treatment to compare

j - Second treatment to compare

Returns:

Adjusted alpha (p-value threshold) for the given comparison