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.Object
A collection of static methods to create inference test instances or to perform inference tests.- Since:
- 1.1
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Method Summary
All Methods Static Methods Concrete Methods 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(java.util.Collection<double[]> categoryData)
static double
oneWayAnovaPValue(java.util.Collection<double[]> categoryData)
static boolean
oneWayAnovaTest(java.util.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)
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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:
NullArgumentException
NumberIsTooSmallException
- 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:
NullArgumentException
NumberIsTooSmallException
- 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:
DimensionMismatchException
NotPositiveException
ZeroException
- 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:
NullArgumentException
DimensionMismatchException
- 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:
NullArgumentException
DimensionMismatchException
ConvergenceException
MaxCountExceededException
- 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:
NotPositiveException
NotStrictlyPositiveException
DimensionMismatchException
- 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:
NotPositiveException
NotStrictlyPositiveException
DimensionMismatchException
MaxCountExceededException
- 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:
DimensionMismatchException
NotPositiveException
ZeroException
- 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:
DimensionMismatchException
NotPositiveException
ZeroException
- 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:
DimensionMismatchException
NotPositiveException
ZeroException
MaxCountExceededException
- 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:
InsufficientDataException
NullArgumentException
- 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:
InsufficientDataException
NullArgumentException
- 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:
InsufficientDataException
NullArgumentException
- 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:
InsufficientDataException
NullArgumentException
- 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:
InsufficientDataException
NullArgumentException
- 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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