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Unit tests for correlation calculation
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@@ -57,9 +57,30 @@ const QString RiaStatisticsTools::replacePercentileByPValueText( const QString&
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//--------------------------------------------------------------------------------------------------
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double RiaStatisticsTools::pearsonCorrelation( const std::vector<double>& xValues, const std::vector<double>& yValues )
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{
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#ifdef USE_GSL
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return pearsonCorrelationGSL( xValues, yValues );
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#else
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return pearsonCorrelationOwn( xValues, yValues );
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#endif
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}
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//--------------------------------------------------------------------------------------------------
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///
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//--------------------------------------------------------------------------------------------------
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double RiaStatisticsTools::pearsonCorrelationGSL( const std::vector<double>& xValues, const std::vector<double>& yValues )
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{
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#ifdef USE_GSL
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return gsl_stats_correlation( xValues.data(), 1, yValues.data(), 1, xValues.size() );
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#else
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return std::numeric_limits<double>::infinity();
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#endif
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}
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//--------------------------------------------------------------------------------------------------
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///
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//--------------------------------------------------------------------------------------------------
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double RiaStatisticsTools::pearsonCorrelationOwn( const std::vector<double>& xValues, const std::vector<double>& yValues )
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{
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const double eps = 1.0e-8;
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if ( xValues.size() != yValues.size() ) return 0.0;
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if ( xValues.empty() ) return 0.0;
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@@ -90,7 +111,6 @@ double RiaStatisticsTools::pearsonCorrelation( const std::vector<double>& xValue
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if ( sumxDiffSquared < eps || sumyDiffSquared < eps ) return 0.0;
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return sumNumerator / ( std::sqrt( sumxDiffSquared ) * std::sqrt( sumyDiffSquared ) );
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#endif
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}
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//--------------------------------------------------------------------------------------------------
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@@ -52,6 +52,7 @@ public:
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}
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static double pearsonCorrelation( const std::vector<double>& xValues, const std::vector<double>& yValues );
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static double pearsonCorrelationGSL( const std::vector<double>& xValues, const std::vector<double>& yValues );
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static double pearsonCorrelationOwn( const std::vector<double>& xValues, const std::vector<double>& yValues );
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static double spearmanCorrelation( const std::vector<double>& xValues, const std::vector<double>& yValues );
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};
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