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#4064 Support sorting by correlation in Ensemble Curve coloring

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This commit is contained in:
Gaute Lindkvist
2020-08-27 13:07:04 +02:00
committed by Magne Sjaastad
parent 6f3c8e7ec6
commit 2da678802b
7 changed files with 217 additions and 71 deletions
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16
ApplicationCode/Application/Tools/RiaStatisticsTools.cpp
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@@ -21,6 +21,9 @@
#include "RiaStatisticsTools.h"
#include "RifEclipseSummaryAddress.h"
#include "RigStatisticsMath.h"
#include "cafAssert.h"
#ifdef USE_GSL
#include "gsl/statistics/gsl_statistics_double.h"
@@ -59,6 +62,12 @@ const QString RiaStatisticsTools::replacePercentileByPValueText( const QString&
//--------------------------------------------------------------------------------------------------
double RiaStatisticsTools::pearsonCorrelation( const std::vector<double>& xValues, const std::vector<double>& yValues )
{
const double eps = 1.0e-8;
double rangeX = 0.0, rangeY = 0.0;
RigStatisticsMath::calculateBasicStatistics( xValues, nullptr, nullptr, nullptr, &rangeX, nullptr, nullptr );
RigStatisticsMath::calculateBasicStatistics( yValues, nullptr, nullptr, nullptr, &rangeY, nullptr, nullptr );
if ( rangeX < eps || rangeY < eps ) return 0.0;
#ifdef USE_GSL
return pearsonCorrelationGSL( xValues, yValues );
#else
@@ -74,6 +83,7 @@ double RiaStatisticsTools::pearsonCorrelationGSL( const std::vector<double>& xVa
#ifdef USE_GSL
return gsl_stats_correlation( xValues.data(), 1, yValues.data(), 1, xValues.size() );
#else
CAF_ASSERT( false );
return std::numeric_limits<double>::infinity();
#endif
}
@@ -120,6 +130,12 @@ double RiaStatisticsTools::pearsonCorrelationOwn( const std::vector<double>& xVa
//--------------------------------------------------------------------------------------------------
double RiaStatisticsTools::spearmanCorrelation( const std::vector<double>& xValues, const std::vector<double>& yValues )
{
const double eps = 1.0e-8;
double rangeX = 0.0, rangeY = 0.0;
RigStatisticsMath::calculateBasicStatistics( xValues, nullptr, nullptr, nullptr, &rangeX, nullptr, nullptr );
RigStatisticsMath::calculateBasicStatistics( yValues, nullptr, nullptr, nullptr, &rangeY, nullptr, nullptr );
if ( rangeX < eps || rangeY < eps ) return 0.0;
#ifdef USE_GSL
std::vector<double> work( 2 * xValues.size() );
return gsl_stats_spearman( xValues.data(), 1, yValues.data(), 1, xValues.size(), work.data() );