java.lang.Object

org.apache.commons.math3.stat.inference.TestUtils

public class TestUtils extends Object

A collection of static methods to create inference test instances or to perform inference tests.

Since:: 1.1

Method Summary

Modifier and Type

Method

Description

static double

approximateP(double d, int n, int m)

static double

chiSquare(double[] expected, long[] observed)

static double

chiSquare(long[][] counts)

static double

chiSquareDataSetsComparison(long[] observed1, long[] observed2)

static double

chiSquareTest(double[] expected, long[] observed)

static boolean

chiSquareTest(double[] expected, long[] observed, double alpha)

static double

chiSquareTest(long[][] counts)

static boolean

chiSquareTest(long[][] counts, double alpha)

static double

chiSquareTestDataSetsComparison(long[] observed1, long[] observed2)

static boolean

chiSquareTestDataSetsComparison(long[] observed1, long[] observed2, double alpha)

static double

exactP(double d, int m, int n, boolean strict)

static double

g(double[] expected, long[] observed)

static double

gDataSetsComparison(long[] observed1, long[] observed2)

static double

gTest(double[] expected, long[] observed)

static boolean

gTest(double[] expected, long[] observed, double alpha)

static double

gTestDataSetsComparison(long[] observed1, long[] observed2)

static boolean

gTestDataSetsComparison(long[] observed1, long[] observed2, double alpha)

static double

gTestIntrinsic(double[] expected, long[] observed)

static double

homoscedasticT(double[] sample1, double[] sample2)

static double

homoscedasticT(StatisticalSummary sampleStats1, StatisticalSummary sampleStats2)

static double

homoscedasticTTest(double[] sample1, double[] sample2)

static boolean

homoscedasticTTest(double[] sample1, double[] sample2, double alpha)

static double

homoscedasticTTest(StatisticalSummary sampleStats1, StatisticalSummary sampleStats2)

static double

kolmogorovSmirnovStatistic(double[] x, double[] y)

static double

kolmogorovSmirnovStatistic(RealDistribution dist, double[] data)

static double

kolmogorovSmirnovTest(double[] x, double[] y)

static double

kolmogorovSmirnovTest(double[] x, double[] y, boolean strict)

static double

kolmogorovSmirnovTest(RealDistribution dist, double[] data)

static double

kolmogorovSmirnovTest(RealDistribution dist, double[] data, boolean strict)

static boolean

kolmogorovSmirnovTest(RealDistribution dist, double[] data, double alpha)

static double

monteCarloP(double d, int n, int m, boolean strict, int iterations)

static double

oneWayAnovaFValue(Collection<double[]> categoryData)

static double

oneWayAnovaPValue(Collection<double[]> categoryData)

static boolean

oneWayAnovaTest(Collection<double[]> categoryData, double alpha)

static double

pairedT(double[] sample1, double[] sample2)

static double

pairedTTest(double[] sample1, double[] sample2)

static boolean

pairedTTest(double[] sample1, double[] sample2, double alpha)

static double

rootLogLikelihoodRatio(long k11, long k12, long k21, long k22)

static double

t(double[] sample1, double[] sample2)

static double

t(double mu, double[] observed)

static double

t(double mu, StatisticalSummary sampleStats)

static double

t(StatisticalSummary sampleStats1, StatisticalSummary sampleStats2)

static double

tTest(double[] sample1, double[] sample2)

static boolean

tTest(double[] sample1, double[] sample2, double alpha)

static double

tTest(double mu, double[] sample)

static boolean

tTest(double mu, double[] sample, double alpha)

static double

tTest(double mu, StatisticalSummary sampleStats)

static boolean

tTest(double mu, StatisticalSummary sampleStats, double alpha)

static double

tTest(StatisticalSummary sampleStats1, StatisticalSummary sampleStats2)

static boolean

tTest(StatisticalSummary sampleStats1, StatisticalSummary sampleStats2, double alpha)

Methods inherited from class java.lang.Object
clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Method Details
- homoscedasticT
  
  public static double homoscedasticT(double[] sample1, double[] sample2) throws NullArgumentException, NumberIsTooSmallException
  Throws:
  
  NullArgumentException
  
  NumberIsTooSmallException
  
  See Also:
  
  TTest.homoscedasticT(double[], double[])
- homoscedasticT
  
  public static double homoscedasticT(StatisticalSummary sampleStats1, StatisticalSummary sampleStats2) throws NullArgumentException, NumberIsTooSmallException
  Throws:
  
  NullArgumentException
  
  NumberIsTooSmallException
  
  See Also:
  
  TTest.homoscedasticT(org.apache.commons.math3.stat.descriptive.StatisticalSummary, org.apache.commons.math3.stat.descriptive.StatisticalSummary)
- homoscedasticTTest
  
  public static boolean homoscedasticTTest(double[] sample1, double[] sample2, double alpha) throws NullArgumentException, NumberIsTooSmallException, OutOfRangeException, MaxCountExceededException
  Throws:
  
  NullArgumentException
  
  NumberIsTooSmallException
  
  OutOfRangeException
  
  MaxCountExceededException
  
  See Also:
  
  TTest.homoscedasticTTest(double[], double[], double)
- homoscedasticTTest
  
  public static double homoscedasticTTest(double[] sample1, double[] sample2) throws NullArgumentException, NumberIsTooSmallException, MaxCountExceededException
  Throws:
  
  NullArgumentException
  
  NumberIsTooSmallException
  
  MaxCountExceededException
  
  See Also:
  
  TTest.homoscedasticTTest(double[], double[])
- homoscedasticTTest
  
  public static double homoscedasticTTest(StatisticalSummary sampleStats1, StatisticalSummary sampleStats2) throws NullArgumentException, NumberIsTooSmallException, MaxCountExceededException
  Throws:
  
  NullArgumentException
  
  NumberIsTooSmallException
  
  MaxCountExceededException
  
  See Also:
  
  TTest.homoscedasticTTest(org.apache.commons.math3.stat.descriptive.StatisticalSummary, org.apache.commons.math3.stat.descriptive.StatisticalSummary)
- pairedT
  
  public static double pairedT(double[] sample1, double[] sample2) throws NullArgumentException, NoDataException, DimensionMismatchException, NumberIsTooSmallException
  Throws:
  
  NullArgumentException
  
  NoDataException
  
  DimensionMismatchException
  
  NumberIsTooSmallException
  
  See Also:
  
  TTest.pairedT(double[], double[])
- pairedTTest
  
  public static boolean pairedTTest(double[] sample1, double[] sample2, double alpha) throws NullArgumentException, NoDataException, DimensionMismatchException, NumberIsTooSmallException, OutOfRangeException, MaxCountExceededException
  Throws:
  
  NullArgumentException
  
  NoDataException
  
  DimensionMismatchException
  
  NumberIsTooSmallException
  
  OutOfRangeException
  
  MaxCountExceededException
  
  See Also:
  
  TTest.pairedTTest(double[], double[], double)
- pairedTTest
  
  public static double pairedTTest(double[] sample1, double[] sample2) throws NullArgumentException, NoDataException, DimensionMismatchException, NumberIsTooSmallException, MaxCountExceededException
  Throws:
  
  NullArgumentException
  
  NoDataException
  
  DimensionMismatchException
  
  NumberIsTooSmallException
  
  MaxCountExceededException
  
  See Also:
  
  TTest.pairedTTest(double[], double[])
- t
  
  public static double t(double mu, double[] observed) throws NullArgumentException, NumberIsTooSmallException
  Throws:
  
  NullArgumentException
  
  NumberIsTooSmallException
  
  See Also:
  
  TTest.t(double, double[])
- t
  
  public static double t(double mu, StatisticalSummary sampleStats) throws NullArgumentException, NumberIsTooSmallException
  Throws:
  
  NullArgumentException
  
  NumberIsTooSmallException
  
  See Also:
  
  TTest.t(double, org.apache.commons.math3.stat.descriptive.StatisticalSummary)
- t
  
  public static double t(double[] sample1, double[] sample2) throws NullArgumentException, NumberIsTooSmallException
  Throws:
  
  NullArgumentException
  
  NumberIsTooSmallException
  
  See Also:
  
  TTest.t(double[], double[])
- t
  
  public static double t(StatisticalSummary sampleStats1, StatisticalSummary sampleStats2) throws NullArgumentException, NumberIsTooSmallException
  Throws:
  
  NullArgumentException
  
  NumberIsTooSmallException
  
  See Also:
  
  TTest.t(org.apache.commons.math3.stat.descriptive.StatisticalSummary, org.apache.commons.math3.stat.descriptive.StatisticalSummary)
- tTest
  
  public static boolean tTest(double mu, double[] sample, double alpha) throws NullArgumentException, NumberIsTooSmallException, OutOfRangeException, MaxCountExceededException
  Throws:
  
  NullArgumentException
  
  NumberIsTooSmallException
  
  OutOfRangeException
  
  MaxCountExceededException
  
  See Also:
  
  TTest.tTest(double, double[], double)
- tTest
  
  public static double tTest(double mu, double[] sample) throws NullArgumentException, NumberIsTooSmallException, MaxCountExceededException
  Throws:
  
  NullArgumentException
  
  NumberIsTooSmallException
  
  MaxCountExceededException
  
  See Also:
  
  TTest.tTest(double, double[])
- tTest
  
  public static boolean tTest(double mu, StatisticalSummary sampleStats, double alpha) throws NullArgumentException, NumberIsTooSmallException, OutOfRangeException, MaxCountExceededException
  Throws:
  
  NullArgumentException
  
  NumberIsTooSmallException
  
  OutOfRangeException
  
  MaxCountExceededException
  
  See Also:
  
  TTest.tTest(double, org.apache.commons.math3.stat.descriptive.StatisticalSummary, double)
- tTest
  
  public static double tTest(double mu, StatisticalSummary sampleStats) throws NullArgumentException, NumberIsTooSmallException, MaxCountExceededException
  Throws:
  
  NullArgumentException
  
  NumberIsTooSmallException
  
  MaxCountExceededException
  
  See Also:
  
  TTest.tTest(double, org.apache.commons.math3.stat.descriptive.StatisticalSummary)
- tTest
  
  public static boolean tTest(double[] sample1, double[] sample2, double alpha) throws NullArgumentException, NumberIsTooSmallException, OutOfRangeException, MaxCountExceededException
  Throws:
  
  NullArgumentException
  
  NumberIsTooSmallException
  
  OutOfRangeException
  
  MaxCountExceededException
  
  See Also:
  
  TTest.tTest(double[], double[], double)
- tTest
  
  public static double tTest(double[] sample1, double[] sample2) throws NullArgumentException, NumberIsTooSmallException, MaxCountExceededException
  Throws:
  
  NullArgumentException
  
  NumberIsTooSmallException
  
  MaxCountExceededException
  
  See Also:
  
  TTest.tTest(double[], double[])
- tTest
  
  public static boolean tTest(StatisticalSummary sampleStats1, StatisticalSummary sampleStats2, double alpha) throws NullArgumentException, NumberIsTooSmallException, OutOfRangeException, MaxCountExceededException
  Throws:
  
  NullArgumentException
  
  NumberIsTooSmallException
  
  OutOfRangeException
  
  MaxCountExceededException
  
  See Also:
  
  TTest.tTest(org.apache.commons.math3.stat.descriptive.StatisticalSummary, org.apache.commons.math3.stat.descriptive.StatisticalSummary, double)
- tTest
  
  public static double tTest(StatisticalSummary sampleStats1, StatisticalSummary sampleStats2) throws NullArgumentException, NumberIsTooSmallException, MaxCountExceededException
  Throws:
  
  NullArgumentException
  
  NumberIsTooSmallException
  
  MaxCountExceededException
  
  See Also:
  
  TTest.tTest(org.apache.commons.math3.stat.descriptive.StatisticalSummary, org.apache.commons.math3.stat.descriptive.StatisticalSummary)
- chiSquare
  
  public static double chiSquare(double[] expected, long[] observed) throws NotPositiveException, NotStrictlyPositiveException, DimensionMismatchException
  Throws:
  
  NotPositiveException
  
  NotStrictlyPositiveException
  
  DimensionMismatchException
  
  See Also:
  
  ChiSquareTest.chiSquare(double[], long[])
- chiSquare
  
  public static double chiSquare(long[][] counts) throws NullArgumentException, NotPositiveException, DimensionMismatchException
  Throws:
  
  NullArgumentException
  
  NotPositiveException
  
  DimensionMismatchException
  
  See Also:
  
  ChiSquareTest.chiSquare(long[][])
- chiSquareTest
  
  public static boolean chiSquareTest(double[] expected, long[] observed, double alpha) throws NotPositiveException, NotStrictlyPositiveException, DimensionMismatchException, OutOfRangeException, MaxCountExceededException
  Throws:
  
  NotPositiveException
  
  NotStrictlyPositiveException
  
  DimensionMismatchException
  
  OutOfRangeException
  
  MaxCountExceededException
  
  See Also:
  
  ChiSquareTest.chiSquareTest(double[], long[], double)
- chiSquareTest
  
  public static double chiSquareTest(double[] expected, long[] observed) throws NotPositiveException, NotStrictlyPositiveException, DimensionMismatchException, MaxCountExceededException
  Throws:
  
  NotPositiveException
  
  NotStrictlyPositiveException
  
  DimensionMismatchException
  
  MaxCountExceededException
  
  See Also:
  
  ChiSquareTest.chiSquareTest(double[], long[])
- chiSquareTest
  
  public static boolean chiSquareTest(long[][] counts, double alpha) throws NullArgumentException, DimensionMismatchException, NotPositiveException, OutOfRangeException, MaxCountExceededException
  Throws:
  
  NullArgumentException
  
  DimensionMismatchException
  
  NotPositiveException
  
  OutOfRangeException
  
  MaxCountExceededException
  
  See Also:
  
  ChiSquareTest.chiSquareTest(long[][], double)
- chiSquareTest
  
  public static double chiSquareTest(long[][] counts) throws NullArgumentException, DimensionMismatchException, NotPositiveException, MaxCountExceededException
  Throws:
  
  NullArgumentException
  
  DimensionMismatchException
  
  NotPositiveException
  
  MaxCountExceededException
  
  See Also:
  
  ChiSquareTest.chiSquareTest(long[][])
- chiSquareDataSetsComparison
  
  public static double chiSquareDataSetsComparison(long[] observed1, long[] observed2) throws DimensionMismatchException, NotPositiveException, ZeroException
  Throws:
  
  DimensionMismatchException
  
  NotPositiveException
  
  ZeroException
  
  Since:
  
  1.2
  
  See Also:
  
  ChiSquareTest.chiSquareDataSetsComparison(long[], long[])
- chiSquareTestDataSetsComparison
  
  public static double chiSquareTestDataSetsComparison(long[] observed1, long[] observed2) throws DimensionMismatchException, NotPositiveException, ZeroException, MaxCountExceededException
  Throws:
  
  DimensionMismatchException
  
  NotPositiveException
  
  ZeroException
  
  MaxCountExceededException
  
  Since:
  
  1.2
  
  See Also:
  
  ChiSquareTest.chiSquareTestDataSetsComparison(long[], long[])
- chiSquareTestDataSetsComparison
  
  public static boolean chiSquareTestDataSetsComparison(long[] observed1, long[] observed2, double alpha) throws DimensionMismatchException, NotPositiveException, ZeroException, OutOfRangeException, MaxCountExceededException
  Throws:
  
  DimensionMismatchException
  
  NotPositiveException
  
  ZeroException
  
  OutOfRangeException
  
  MaxCountExceededException
  
  Since:
  
  1.2
  
  See Also:
  
  ChiSquareTest.chiSquareTestDataSetsComparison(long[], long[], double)
- oneWayAnovaFValue
  
  public static double oneWayAnovaFValue(Collection<double[]> categoryData) throws NullArgumentException, DimensionMismatchException
  Throws:
  
  NullArgumentException
  
  DimensionMismatchException
  
  Since:
  
  1.2
  
  See Also:
  
  OneWayAnova.anovaFValue(Collection)
- oneWayAnovaPValue
  
  public static double oneWayAnovaPValue(Collection<double[]> categoryData) throws NullArgumentException, DimensionMismatchException, ConvergenceException, MaxCountExceededException
  Throws:
  
  NullArgumentException
  
  DimensionMismatchException
  
  ConvergenceException
  
  MaxCountExceededException
  
  Since:
  
  1.2
  
  See Also:
  
  OneWayAnova.anovaPValue(Collection)
- oneWayAnovaTest
  
  public static boolean oneWayAnovaTest(Collection<double[]> categoryData, double alpha) throws NullArgumentException, DimensionMismatchException, OutOfRangeException, ConvergenceException, MaxCountExceededException
  Throws:
  
  NullArgumentException
  
  DimensionMismatchException
  
  OutOfRangeException
  
  ConvergenceException
  
  MaxCountExceededException
  
  Since:
  
  1.2
  
  See Also:
  
  OneWayAnova.anovaTest(Collection,double)
- g
  
  public static double g(double[] expected, long[] observed) throws NotPositiveException, NotStrictlyPositiveException, DimensionMismatchException
  Throws:
  
  NotPositiveException
  
  NotStrictlyPositiveException
  
  DimensionMismatchException
  
  Since:
  
  3.1
  
  See Also:
  
  GTest.g(double[], long[])
- gTest
  
  public static double gTest(double[] expected, long[] observed) throws NotPositiveException, NotStrictlyPositiveException, DimensionMismatchException, MaxCountExceededException
  Throws:
  
  NotPositiveException
  
  NotStrictlyPositiveException
  
  DimensionMismatchException
  
  MaxCountExceededException
  
  Since:
  
  3.1
  
  See Also:
  
  GTest.gTest(double[], long[])
- gTestIntrinsic
  
  public static double gTestIntrinsic(double[] expected, long[] observed) throws NotPositiveException, NotStrictlyPositiveException, DimensionMismatchException, MaxCountExceededException
  Throws:
  
  NotPositiveException
  
  NotStrictlyPositiveException
  
  DimensionMismatchException
  
  MaxCountExceededException
  
  Since:
  
  3.1
  
  See Also:
  
  GTest.gTestIntrinsic(double[], long[])
- gTest
  
  public static boolean gTest(double[] expected, long[] observed, double alpha) throws NotPositiveException, NotStrictlyPositiveException, DimensionMismatchException, OutOfRangeException, MaxCountExceededException
  Throws:
  
  NotPositiveException
  
  NotStrictlyPositiveException
  
  DimensionMismatchException
  
  OutOfRangeException
  
  MaxCountExceededException
  
  Since:
  
  3.1
  
  See Also:
  
  GTest.gTest(double[],long[],double)
- gDataSetsComparison
  
  public static double gDataSetsComparison(long[] observed1, long[] observed2) throws DimensionMismatchException, NotPositiveException, ZeroException
  Throws:
  
  DimensionMismatchException
  
  NotPositiveException
  
  ZeroException
  
  Since:
  
  3.1
  
  See Also:
  
  GTest.gDataSetsComparison(long[], long[])
- rootLogLikelihoodRatio
  
  public static double rootLogLikelihoodRatio(long k11, long k12, long k21, long k22) throws DimensionMismatchException, NotPositiveException, ZeroException
  Throws:
  
  DimensionMismatchException
  
  NotPositiveException
  
  ZeroException
  
  Since:
  
  3.1
  
  See Also:
  
  GTest.rootLogLikelihoodRatio(long, long, long, long)
- gTestDataSetsComparison
  
  public static double gTestDataSetsComparison(long[] observed1, long[] observed2) throws DimensionMismatchException, NotPositiveException, ZeroException, MaxCountExceededException
  Throws:
  
  DimensionMismatchException
  
  NotPositiveException
  
  ZeroException
  
  MaxCountExceededException
  
  Since:
  
  3.1
  
  See Also:
  
  GTest.gTestDataSetsComparison(long[], long[])
- gTestDataSetsComparison
  
  public static boolean gTestDataSetsComparison(long[] observed1, long[] observed2, double alpha) throws DimensionMismatchException, NotPositiveException, ZeroException, OutOfRangeException, MaxCountExceededException
  Throws:
  
  DimensionMismatchException
  
  NotPositiveException
  
  ZeroException
  
  OutOfRangeException
  
  MaxCountExceededException
  
  Since:
  
  3.1
  
  See Also:
  
  GTest.gTestDataSetsComparison(long[],long[],double)
- kolmogorovSmirnovStatistic
  
  public static double kolmogorovSmirnovStatistic(RealDistribution dist, double[] data) throws InsufficientDataException, NullArgumentException
  Throws:
  
  InsufficientDataException
  
  NullArgumentException
  
  Since:
  
  3.3
  
  See Also:
  
  KolmogorovSmirnovTest.kolmogorovSmirnovStatistic(RealDistribution, double[])
- kolmogorovSmirnovTest
  
  public static double kolmogorovSmirnovTest(RealDistribution dist, double[] data) throws InsufficientDataException, NullArgumentException
  Throws:
  
  InsufficientDataException
  
  NullArgumentException
  
  Since:
  
  3.3
  
  See Also:
  
  KolmogorovSmirnovTest.kolmogorovSmirnovTest(RealDistribution, double[])
- kolmogorovSmirnovTest
  
  public static double kolmogorovSmirnovTest(RealDistribution dist, double[] data, boolean strict) throws InsufficientDataException, NullArgumentException
  Throws:
  
  InsufficientDataException
  
  NullArgumentException
  
  Since:
  
  3.3
  
  See Also:
  
  KolmogorovSmirnovTest.kolmogorovSmirnovTest(RealDistribution, double[], boolean)
- kolmogorovSmirnovTest
  
  public static boolean kolmogorovSmirnovTest(RealDistribution dist, double[] data, double alpha) throws InsufficientDataException, NullArgumentException
  Throws:
  
  InsufficientDataException
  
  NullArgumentException
  
  Since:
  
  3.3
  
  See Also:
  
  KolmogorovSmirnovTest.kolmogorovSmirnovTest(RealDistribution, double[], double)
- kolmogorovSmirnovStatistic
  
  public static double kolmogorovSmirnovStatistic(double[] x, double[] y) throws InsufficientDataException, NullArgumentException
  Throws:
  
  InsufficientDataException
  
  NullArgumentException
  
  Since:
  
  3.3
  
  See Also:
  
  KolmogorovSmirnovTest.kolmogorovSmirnovStatistic(double[], double[])
- kolmogorovSmirnovTest
  
  public static double kolmogorovSmirnovTest(double[] x, double[] y) throws InsufficientDataException, NullArgumentException
  Throws:
  
  InsufficientDataException
  
  NullArgumentException
  
  Since:
  
  3.3
  
  See Also:
  
  KolmogorovSmirnovTest.kolmogorovSmirnovTest(double[], double[])
- kolmogorovSmirnovTest
  
  public static double kolmogorovSmirnovTest(double[] x, double[] y, boolean strict) throws InsufficientDataException, NullArgumentException
  Throws:
  
  InsufficientDataException
  
  NullArgumentException
  
  Since:
  
  3.3
  
  See Also:
  
  KolmogorovSmirnovTest.kolmogorovSmirnovTest(double[], double[], boolean)
- exactP
  
  public static double exactP(double d, int m, int n, boolean strict)
  Since:
  
  3.3
  
  See Also:
  
  KolmogorovSmirnovTest.exactP(double, int, int, boolean)
- approximateP
  
  public static double approximateP(double d, int n, int m)
  Since:
  
  3.3
  
  See Also:
  
  KolmogorovSmirnovTest.approximateP(double, int, int)
- monteCarloP
  
  public static double monteCarloP(double d, int n, int m, boolean strict, int iterations)
  Since:
  
  3.3
  
  See Also:
  
  KolmogorovSmirnovTest.monteCarloP(double, int, int, boolean, int)

Class TestUtils

Method Summary

Methods inherited from class java.lang.Object

Method Details

homoscedasticT

homoscedasticT

homoscedasticTTest

homoscedasticTTest

homoscedasticTTest

pairedT

pairedTTest

pairedTTest

t

t

t

t

tTest

tTest

tTest

tTest

tTest

tTest

tTest

tTest

chiSquare

chiSquare

chiSquareTest

chiSquareTest

chiSquareTest

chiSquareTest

chiSquareDataSetsComparison

chiSquareTestDataSetsComparison

chiSquareTestDataSetsComparison

oneWayAnovaFValue

oneWayAnovaPValue

oneWayAnovaTest

g

gTest

gTestIntrinsic

gTest

gDataSetsComparison

rootLogLikelihoodRatio

gTestDataSetsComparison

gTestDataSetsComparison

kolmogorovSmirnovStatistic

kolmogorovSmirnovTest

kolmogorovSmirnovTest

kolmogorovSmirnovTest

kolmogorovSmirnovStatistic

kolmogorovSmirnovTest

kolmogorovSmirnovTest

exactP

approximateP

monteCarloP