Class TestUtils
- java.lang.Object
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- org.apache.commons.math3.stat.inference.TestUtils
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public class TestUtils extends java.lang.ObjectA collection of static methods to create inference test instances or to perform inference tests.- Since:
- 1.1
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Field Summary
Fields Modifier and Type Field Description private static ChiSquareTestCHI_SQUARE_TESTSingleton ChiSquareTest instance.private static GTestG_TESTSingleton G-Test instance.private static KolmogorovSmirnovTestKS_TESTSingleton K-S test instanceprivate static OneWayAnovaONE_WAY_ANANOVASingleton OneWayAnova instance.private static TTestT_TESTSingleton TTest instance.
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Constructor Summary
Constructors Modifier Constructor Description privateTestUtils()Prevent instantiation.
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Method Summary
All Methods Static Methods Concrete Methods Modifier and Type Method Description static doubleapproximateP(double d, int n, int m)static doublechiSquare(double[] expected, long[] observed)static doublechiSquare(long[][] counts)static doublechiSquareDataSetsComparison(long[] observed1, long[] observed2)static doublechiSquareTest(double[] expected, long[] observed)static booleanchiSquareTest(double[] expected, long[] observed, double alpha)static doublechiSquareTest(long[][] counts)static booleanchiSquareTest(long[][] counts, double alpha)static doublechiSquareTestDataSetsComparison(long[] observed1, long[] observed2)static booleanchiSquareTestDataSetsComparison(long[] observed1, long[] observed2, double alpha)static doubleexactP(double d, int m, int n, boolean strict)static doubleg(double[] expected, long[] observed)static doublegDataSetsComparison(long[] observed1, long[] observed2)static doublegTest(double[] expected, long[] observed)static booleangTest(double[] expected, long[] observed, double alpha)static doublegTestDataSetsComparison(long[] observed1, long[] observed2)static booleangTestDataSetsComparison(long[] observed1, long[] observed2, double alpha)static doublegTestIntrinsic(double[] expected, long[] observed)static doublehomoscedasticT(double[] sample1, double[] sample2)static doublehomoscedasticT(StatisticalSummary sampleStats1, StatisticalSummary sampleStats2)static doublehomoscedasticTTest(double[] sample1, double[] sample2)static booleanhomoscedasticTTest(double[] sample1, double[] sample2, double alpha)static doublehomoscedasticTTest(StatisticalSummary sampleStats1, StatisticalSummary sampleStats2)static doublekolmogorovSmirnovStatistic(double[] x, double[] y)static doublekolmogorovSmirnovStatistic(RealDistribution dist, double[] data)static doublekolmogorovSmirnovTest(double[] x, double[] y)static doublekolmogorovSmirnovTest(double[] x, double[] y, boolean strict)static doublekolmogorovSmirnovTest(RealDistribution dist, double[] data)static doublekolmogorovSmirnovTest(RealDistribution dist, double[] data, boolean strict)static booleankolmogorovSmirnovTest(RealDistribution dist, double[] data, double alpha)static doublemonteCarloP(double d, int n, int m, boolean strict, int iterations)static doubleoneWayAnovaFValue(java.util.Collection<double[]> categoryData)static doubleoneWayAnovaPValue(java.util.Collection<double[]> categoryData)static booleanoneWayAnovaTest(java.util.Collection<double[]> categoryData, double alpha)static doublepairedT(double[] sample1, double[] sample2)static doublepairedTTest(double[] sample1, double[] sample2)static booleanpairedTTest(double[] sample1, double[] sample2, double alpha)static doublerootLogLikelihoodRatio(long k11, long k12, long k21, long k22)static doublet(double[] sample1, double[] sample2)static doublet(double mu, double[] observed)static doublet(double mu, StatisticalSummary sampleStats)static doublet(StatisticalSummary sampleStats1, StatisticalSummary sampleStats2)static doubletTest(double[] sample1, double[] sample2)static booleantTest(double[] sample1, double[] sample2, double alpha)static doubletTest(double mu, double[] sample)static booleantTest(double mu, double[] sample, double alpha)static doubletTest(double mu, StatisticalSummary sampleStats)static booleantTest(double mu, StatisticalSummary sampleStats, double alpha)static doubletTest(StatisticalSummary sampleStats1, StatisticalSummary sampleStats2)static booleantTest(StatisticalSummary sampleStats1, StatisticalSummary sampleStats2, double alpha)
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Field Detail
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T_TEST
private static final TTest T_TEST
Singleton TTest instance.
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CHI_SQUARE_TEST
private static final ChiSquareTest CHI_SQUARE_TEST
Singleton ChiSquareTest instance.
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ONE_WAY_ANANOVA
private static final OneWayAnova ONE_WAY_ANANOVA
Singleton OneWayAnova instance.
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G_TEST
private static final GTest G_TEST
Singleton G-Test instance.
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KS_TEST
private static final KolmogorovSmirnovTest KS_TEST
Singleton K-S test instance
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Method Detail
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homoscedasticT
public static double homoscedasticT(double[] sample1, double[] sample2) throws NullArgumentException, NumberIsTooSmallException
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homoscedasticT
public static double homoscedasticT(StatisticalSummary sampleStats1, StatisticalSummary sampleStats2) throws NullArgumentException, NumberIsTooSmallException
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homoscedasticTTest
public static boolean homoscedasticTTest(double[] sample1, double[] sample2, double alpha) throws NullArgumentException, NumberIsTooSmallException, OutOfRangeException, MaxCountExceededException
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homoscedasticTTest
public static double homoscedasticTTest(double[] sample1, double[] sample2) throws NullArgumentException, NumberIsTooSmallException, MaxCountExceededException
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homoscedasticTTest
public static double homoscedasticTTest(StatisticalSummary sampleStats1, StatisticalSummary sampleStats2) throws NullArgumentException, NumberIsTooSmallException, MaxCountExceededException
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pairedT
public static double pairedT(double[] sample1, double[] sample2) throws NullArgumentException, NoDataException, DimensionMismatchException, NumberIsTooSmallException
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pairedTTest
public static boolean pairedTTest(double[] sample1, double[] sample2, double alpha) throws NullArgumentException, NoDataException, DimensionMismatchException, NumberIsTooSmallException, OutOfRangeException, MaxCountExceededException
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pairedTTest
public static double pairedTTest(double[] sample1, double[] sample2) throws NullArgumentException, NoDataException, DimensionMismatchException, NumberIsTooSmallException, MaxCountExceededException
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t
public static double t(double mu, double[] observed) throws NullArgumentException, NumberIsTooSmallException- Throws:
NullArgumentExceptionNumberIsTooSmallException- See Also:
TTest.t(double, double[])
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t
public static double t(double mu, StatisticalSummary sampleStats) throws NullArgumentException, NumberIsTooSmallException
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t
public static double t(double[] sample1, double[] sample2) throws NullArgumentException, NumberIsTooSmallException- Throws:
NullArgumentExceptionNumberIsTooSmallException- See Also:
TTest.t(double[], double[])
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t
public static double t(StatisticalSummary sampleStats1, StatisticalSummary sampleStats2) throws NullArgumentException, NumberIsTooSmallException
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tTest
public static boolean tTest(double mu, double[] sample, double alpha) throws NullArgumentException, NumberIsTooSmallException, OutOfRangeException, MaxCountExceededException
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tTest
public static double tTest(double mu, double[] sample) throws NullArgumentException, NumberIsTooSmallException, MaxCountExceededException
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tTest
public static boolean tTest(double mu, StatisticalSummary sampleStats, double alpha) throws NullArgumentException, NumberIsTooSmallException, OutOfRangeException, MaxCountExceededException
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tTest
public static double tTest(double mu, StatisticalSummary sampleStats) throws NullArgumentException, NumberIsTooSmallException, MaxCountExceededException
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tTest
public static boolean tTest(double[] sample1, double[] sample2, double alpha) throws NullArgumentException, NumberIsTooSmallException, OutOfRangeException, MaxCountExceededException
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tTest
public static double tTest(double[] sample1, double[] sample2) throws NullArgumentException, NumberIsTooSmallException, MaxCountExceededException
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tTest
public static boolean tTest(StatisticalSummary sampleStats1, StatisticalSummary sampleStats2, double alpha) throws NullArgumentException, NumberIsTooSmallException, OutOfRangeException, MaxCountExceededException
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tTest
public static double tTest(StatisticalSummary sampleStats1, StatisticalSummary sampleStats2) throws NullArgumentException, NumberIsTooSmallException, MaxCountExceededException
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chiSquare
public static double chiSquare(double[] expected, long[] observed) throws NotPositiveException, NotStrictlyPositiveException, DimensionMismatchException
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chiSquare
public static double chiSquare(long[][] counts) throws NullArgumentException, NotPositiveException, DimensionMismatchException
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chiSquareTest
public static boolean chiSquareTest(double[] expected, long[] observed, double alpha) throws NotPositiveException, NotStrictlyPositiveException, DimensionMismatchException, OutOfRangeException, MaxCountExceededException
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chiSquareTest
public static double chiSquareTest(double[] expected, long[] observed) throws NotPositiveException, NotStrictlyPositiveException, DimensionMismatchException, MaxCountExceededException
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chiSquareTest
public static boolean chiSquareTest(long[][] counts, double alpha) throws NullArgumentException, DimensionMismatchException, NotPositiveException, OutOfRangeException, MaxCountExceededException
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chiSquareTest
public static double chiSquareTest(long[][] counts) throws NullArgumentException, DimensionMismatchException, NotPositiveException, MaxCountExceededException
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chiSquareDataSetsComparison
public static double chiSquareDataSetsComparison(long[] observed1, long[] observed2) throws DimensionMismatchException, NotPositiveException, ZeroException- Throws:
DimensionMismatchExceptionNotPositiveExceptionZeroException- Since:
- 1.2
- See Also:
ChiSquareTest.chiSquareDataSetsComparison(long[], long[])
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chiSquareTestDataSetsComparison
public static double chiSquareTestDataSetsComparison(long[] observed1, long[] observed2) throws DimensionMismatchException, NotPositiveException, ZeroException, MaxCountExceededException
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chiSquareTestDataSetsComparison
public static boolean chiSquareTestDataSetsComparison(long[] observed1, long[] observed2, double alpha) throws DimensionMismatchException, NotPositiveException, ZeroException, OutOfRangeException, MaxCountExceededException
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oneWayAnovaFValue
public static double oneWayAnovaFValue(java.util.Collection<double[]> categoryData) throws NullArgumentException, DimensionMismatchException- Throws:
NullArgumentExceptionDimensionMismatchException- Since:
- 1.2
- See Also:
OneWayAnova.anovaFValue(Collection)
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oneWayAnovaPValue
public static double oneWayAnovaPValue(java.util.Collection<double[]> categoryData) throws NullArgumentException, DimensionMismatchException, ConvergenceException, MaxCountExceededException- Throws:
NullArgumentExceptionDimensionMismatchExceptionConvergenceExceptionMaxCountExceededException- Since:
- 1.2
- See Also:
OneWayAnova.anovaPValue(Collection)
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oneWayAnovaTest
public static boolean oneWayAnovaTest(java.util.Collection<double[]> categoryData, double alpha) throws NullArgumentException, DimensionMismatchException, OutOfRangeException, ConvergenceException, MaxCountExceededException
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g
public static double g(double[] expected, long[] observed) throws NotPositiveException, NotStrictlyPositiveException, DimensionMismatchException- Throws:
NotPositiveExceptionNotStrictlyPositiveExceptionDimensionMismatchException- Since:
- 3.1
- See Also:
GTest.g(double[], long[])
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gTest
public static double gTest(double[] expected, long[] observed) throws NotPositiveException, NotStrictlyPositiveException, DimensionMismatchException, MaxCountExceededException- Throws:
NotPositiveExceptionNotStrictlyPositiveExceptionDimensionMismatchExceptionMaxCountExceededException- Since:
- 3.1
- See Also:
GTest.gTest( double[], long[] )
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gTestIntrinsic
public static double gTestIntrinsic(double[] expected, long[] observed) throws NotPositiveException, NotStrictlyPositiveException, DimensionMismatchException, MaxCountExceededException
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gTest
public static boolean gTest(double[] expected, long[] observed, double alpha) throws NotPositiveException, NotStrictlyPositiveException, DimensionMismatchException, OutOfRangeException, MaxCountExceededException
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gDataSetsComparison
public static double gDataSetsComparison(long[] observed1, long[] observed2) throws DimensionMismatchException, NotPositiveException, ZeroException- Throws:
DimensionMismatchExceptionNotPositiveExceptionZeroException- Since:
- 3.1
- See Also:
GTest.gDataSetsComparison(long[], long[])
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rootLogLikelihoodRatio
public static double rootLogLikelihoodRatio(long k11, long k12, long k21, long k22) throws DimensionMismatchException, NotPositiveException, ZeroException- Throws:
DimensionMismatchExceptionNotPositiveExceptionZeroException- Since:
- 3.1
- See Also:
GTest.rootLogLikelihoodRatio(long, long, long, long)
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gTestDataSetsComparison
public static double gTestDataSetsComparison(long[] observed1, long[] observed2) throws DimensionMismatchException, NotPositiveException, ZeroException, MaxCountExceededException- Throws:
DimensionMismatchExceptionNotPositiveExceptionZeroExceptionMaxCountExceededException- Since:
- 3.1
- See Also:
GTest.gTestDataSetsComparison(long[], long[])
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gTestDataSetsComparison
public static boolean gTestDataSetsComparison(long[] observed1, long[] observed2, double alpha) throws DimensionMismatchException, NotPositiveException, ZeroException, OutOfRangeException, MaxCountExceededException
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kolmogorovSmirnovStatistic
public static double kolmogorovSmirnovStatistic(RealDistribution dist, double[] data) throws InsufficientDataException, NullArgumentException
- Throws:
InsufficientDataExceptionNullArgumentException- Since:
- 3.3
- See Also:
KolmogorovSmirnovTest.kolmogorovSmirnovStatistic(RealDistribution, double[])
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kolmogorovSmirnovTest
public static double kolmogorovSmirnovTest(RealDistribution dist, double[] data) throws InsufficientDataException, NullArgumentException
- Throws:
InsufficientDataExceptionNullArgumentException- Since:
- 3.3
- See Also:
KolmogorovSmirnovTest.kolmogorovSmirnovTest(RealDistribution, double[])
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kolmogorovSmirnovTest
public static double kolmogorovSmirnovTest(RealDistribution dist, double[] data, boolean strict) throws InsufficientDataException, NullArgumentException
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kolmogorovSmirnovTest
public static boolean kolmogorovSmirnovTest(RealDistribution dist, double[] data, double alpha) throws InsufficientDataException, NullArgumentException
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kolmogorovSmirnovStatistic
public static double kolmogorovSmirnovStatistic(double[] x, double[] y) throws InsufficientDataException, NullArgumentException- Throws:
InsufficientDataExceptionNullArgumentException- Since:
- 3.3
- See Also:
KolmogorovSmirnovTest.kolmogorovSmirnovStatistic(double[], double[])
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kolmogorovSmirnovTest
public static double kolmogorovSmirnovTest(double[] x, double[] y) throws InsufficientDataException, NullArgumentException- Throws:
InsufficientDataExceptionNullArgumentException- Since:
- 3.3
- See Also:
KolmogorovSmirnovTest.kolmogorovSmirnovTest(double[], double[])
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kolmogorovSmirnovTest
public static double kolmogorovSmirnovTest(double[] x, double[] y, boolean strict) throws InsufficientDataException, NullArgumentException- Throws:
InsufficientDataExceptionNullArgumentException- Since:
- 3.3
- See Also:
KolmogorovSmirnovTest.kolmogorovSmirnovTest(double[], double[], boolean)
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exactP
public static double exactP(double d, int m, int n, boolean strict)- Since:
- 3.3
- See Also:
KolmogorovSmirnovTest.exactP(double, int, int, boolean)
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approximateP
public static double approximateP(double d, int n, int m)- Since:
- 3.3
- See Also:
KolmogorovSmirnovTest.approximateP(double, int, int)
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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)
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