javanpst.distributions.tests

Class SpearmanDistribution

java.lang.Object

javanpst.distributions.tests.SpearmanDistribution

public class SpearmanDistribution
extends java.lang.Object

An implementation of the Spearman distribution. Uses a Singleton pattern to ensure only an instance of the class is allowed.

Method Summary

Modifier and Type	Method and Description
double	computeAproximatedProbability(int n, double T) Computes approximated probability of the exact Spearman distribution
double	computeAsymptoticProbability(double Z, boolean dependence) Computes asymptotic probability of the Spearman distribution
double	computeExactProbability(int n, double T) Computes exact probability of the Spearman distribution
static Critical1KeyTable	getCriticalTable() Gets the table of critical values of the distribution
static Aproximate1KeyTable	getExactTable() Gets the table of the distribution
static SpearmanDistribution	getInstance() Singleton pattern access to the distribution

Methods inherited from class java.lang.Object

equals, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Method Detail

getInstance

public static SpearmanDistribution getInstance()

Singleton pattern access to the distribution

Returns:

the instance of the distribution

getCriticalTable

public static Critical1KeyTable getCriticalTable()

Gets the table of critical values of the distribution

Returns:

Reference to the table

getExactTable

public static Aproximate1KeyTable getExactTable()

Gets the table of the distribution

Returns:

Reference to the table

computeExactProbability

public double computeExactProbability(int n,
                                      double T)

Computes exact probability of the Spearman distribution

Parameters:

n - number of pairs

T - Spearman statistic

Returns:

p-value computed

computeAproximatedProbability

public double computeAproximatedProbability(int n,
                                            double T)

Computes approximated probability of the exact Spearman distribution

Parameters:

n - number of pairs

T - Spearman statistic

Returns:

p-value computed

computeAsymptoticProbability

public double computeAsymptoticProbability(double Z,
                                           boolean dependence)

Computes asymptotic probability of the Spearman distribution

Parameters:

Z - normal approximation

dependence - true if testing positive dependence. False, if negative

Returns:

p-value computed