gov.sandia.cognition.statistics.method

Class AbstractMultipleHypothesisComparison.Statistic

java.lang.Object

gov.sandia.cognition.util.AbstractCloneableSerializable

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

All Implemented Interfaces:

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

Direct Known Subclasses:

AbstractPairwiseMultipleHypothesisComparison.Statistic, NemenyiConfidence.Statistic, TukeyKramerConfidence.Statistic

Enclosing class:

AbstractMultipleHypothesisComparison<TreatmentData,StatisticType extends MultipleHypothesisComparison.Statistic>

public abstract static class AbstractMultipleHypothesisComparison.Statistic
extends AbstractCloneableSerializable
implements MultipleHypothesisComparison.Statistic

Partial implementation of MultipleHypothesisComparison.Statistic

See Also:

Serialized Form

Field Summary

Fields

Modifier and Type	Field and Description
protected Matrix	nullHypothesisProbabilities Null Hypothesis probability associated with the (i,j) treatment comparison
protected Matrix	testStatistics Test statistic associated with the (i,j) treatment comparison
protected int	treatmentCount Number of treatments being compared
protected double	uncompensatedAlpha Uncompensated alpha (p-value threshold) for the multiple comparison test

Constructor Summary

Constructors

Constructor and Description
Statistic() Default constructor

Method Summary

Modifier and Type	Method and Description
AbstractMultipleHypothesisComparison.Statistic	clone() This makes public the clone method on the Object class and removes the exception that it throws.
double	getNullHypothesisProbability(int i, int j) Gets the Null Hypothesis probability associated with the (i,j) treatment comparison
double	getTestStatistic(int i, int j) Gets the test statistic associated with the (i,j) treatment comparison
int	getTreatmentCount() Gets the number of treatments being compared
double	getUncompensatedAlpha() Gets the uncompensated alpha (p-value threshold) for the multiple comparison test
java.lang.String	toString()

Methods inherited from class java.lang.Object

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

Methods inherited from interface gov.sandia.cognition.statistics.method.MultipleHypothesisComparison.Statistic

acceptNullHypothesis

Field Detail

treatmentCount

protected int treatmentCount

Number of treatments being compared

uncompensatedAlpha

protected double uncompensatedAlpha

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

testStatistics

protected Matrix testStatistics

Test statistic associated with the (i,j) treatment comparison

nullHypothesisProbabilities

protected Matrix nullHypothesisProbabilities

Null Hypothesis probability associated with the (i,j) treatment comparison

Constructor Detail

Statistic

public Statistic()

Default constructor

Method Detail

clone

public AbstractMultipleHypothesisComparison.Statistic clone()

Description copied from class: AbstractCloneableSerializable

This makes public the clone method on the Object class and removes the exception that it throws. Its default behavior is to automatically create a clone of the exact type of object that the clone is called on and to copy all primitives but to keep all references, which means it is a shallow copy. Extensions of this class may want to override this method (but call super.clone() to implement a "smart copy". That is, to target the most common use case for creating a copy of the object. Because of the default behavior being a shallow copy, extending classes only need to handle fields that need to have a deeper copy (or those that need to be reset). Some of the methods in ObjectUtil may be helpful in implementing a custom clone method. Note: The contract of this method is that you must use super.clone() as the basis for your implementation.

Specified by:

clone in interface CloneableSerializable

Overrides:

clone in class AbstractCloneableSerializable

Returns:

A clone of this object.

getTreatmentCount

public int getTreatmentCount()

Description copied from interface: MultipleHypothesisComparison.Statistic

Gets the number of treatments being compared

Specified by:

getTreatmentCount in interface MultipleHypothesisComparison.Statistic

Returns:

Number of treatments being compared

getUncompensatedAlpha

public double getUncompensatedAlpha()

Description copied from interface: MultipleHypothesisComparison.Statistic

Gets the uncompensated alpha (p-value threshold) for the multiple comparison test

Specified by:

getUncompensatedAlpha in interface MultipleHypothesisComparison.Statistic

Returns:

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

getTestStatistic

public double getTestStatistic(int i,
                               int j)

Description copied from interface: MultipleHypothesisComparison.Statistic

Gets the test statistic associated with the (i,j) treatment comparison

Specified by:

getTestStatistic in interface MultipleHypothesisComparison.Statistic

Parameters:

i - First treatment index

j - Second treatment index

Returns:

Test statistic associated with the (i,j) treatment comparison

getNullHypothesisProbability

public double getNullHypothesisProbability(int i,
                                           int j)

Description copied from interface: MultipleHypothesisComparison.Statistic

Gets the Null Hypothesis probability associated with the (i,j) treatment comparison

Specified by:

getNullHypothesisProbability in interface MultipleHypothesisComparison.Statistic

Parameters:

i - First treatment index

j - Second treatment index

Returns:

Null Hypothesis probability associated with the (i,j) treatment comparison

toString

public java.lang.String toString()

Overrides:

toString in class java.lang.Object