| 메소드 |
설명 |
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dataProviderForKendallsTau ( ) |
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dataProviderForPopulationCorrelationCoefficient ( ) |
Data provider for population correlation coefficient test
Data: [ x, y, ppc ] |
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dataProviderForPopulationCovariance ( ) |
Data provider for population covariance test
Data: [ X, Y, covariance ] |
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dataProviderForR2 ( ) |
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dataProviderForSampleCorrelationCoefficient ( ) |
Data provider for sample correlation coefficient test
Data: [ x, y, ppc ] |
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dataProviderForSampleCovariance ( ) |
Data provider for sample covariance test
Data: [ X, Y, covariance ] |
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dataProviderForSpearmansRho ( ) |
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testCoefficientOfDetermination ( array $X, array $Y, $r2 ) |
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testCovariancePopluation ( $X, $Y, $covariance ) |
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testCovarianceSample ( $X, $Y, $covariance ) |
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testDescribe ( ) |
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testKendallsTau ( array $X, array $Y, $τ ) |
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testKendallsTauExceptionDifferentLengthArrays ( ) |
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testPopulationCorrelationCoefficient ( array $x, array $y, $pcc ) |
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testPopulationCovariance ( $X, $Y, $covariance ) |
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testPopulationCovarianceExceptionWhenXAndYHaveDifferentCounts ( ) |
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testR2 ( array $X, array $Y, $r2 ) |
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testRPopulation ( array $x, array $y, $pcc ) |
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testRSample ( array $x, array $y, $scc ) |
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testSampleCorrelationCoefficient ( array $x, array $y, $scc ) |
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testSampleCovariance ( $X, $Y, $covariance ) |
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testSampleCovarianceExceptionWhenXAndYHaveDifferentCounts ( ) |
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testSpearmansRho ( array $X, array $Y, $ρ ) |
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testSpearmansRhoExceptionDifferentLengthArrays ( ) |
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