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Rename ApplicationCode to ApplicationLibCode
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96
ApplicationLibCode/Application/Tools/RiaStatisticsTools.cpp
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96
ApplicationLibCode/Application/Tools/RiaStatisticsTools.cpp
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/////////////////////////////////////////////////////////////////////////////////
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//
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// Copyright (C) 2011- Statoil ASA
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// Copyright (C) 2013- Ceetron Solutions AS
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// Copyright (C) 2011-2012 Ceetron AS
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//
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// ResInsight is free software: you can redistribute it and/or modify
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// it under the terms of the GNU General Public License as published by
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// the Free Software Foundation, either version 3 of the License, or
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// (at your option) any later version.
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//
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// ResInsight is distributed in the hope that it will be useful, but WITHOUT ANY
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// WARRANTY; without even the implied warranty of MERCHANTABILITY or
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// FITNESS FOR A PARTICULAR PURPOSE.
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//
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// See the GNU General Public License at <http://www.gnu.org/licenses/gpl.html>
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// for more details.
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//
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/////////////////////////////////////////////////////////////////////////////////
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#include "RiaStatisticsTools.h"
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#include "RifEclipseSummaryAddress.h"
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#include "RigStatisticsMath.h"
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#include "cafAssert.h"
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#include <QString>
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//--------------------------------------------------------------------------------------------------
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///
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//--------------------------------------------------------------------------------------------------
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const QString RiaStatisticsTools::replacePercentileByPValueText( const QString& percentile )
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{
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QString result = percentile;
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if ( result == ENSEMBLE_STAT_P10_QUANTITY_NAME )
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{
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result = ENSEMBLE_STAT_P90_QUANTITY_NAME;
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}
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else if ( result == ENSEMBLE_STAT_P90_QUANTITY_NAME )
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{
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result = ENSEMBLE_STAT_P10_QUANTITY_NAME;
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}
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else if ( percentile.contains( QString( "%1:" ).arg( ENSEMBLE_STAT_P10_QUANTITY_NAME ) ) )
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{
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result.replace( ENSEMBLE_STAT_P10_QUANTITY_NAME, ENSEMBLE_STAT_P90_QUANTITY_NAME );
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}
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else if ( percentile.contains( QString( "%1:" ).arg( ENSEMBLE_STAT_P90_QUANTITY_NAME ) ) )
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{
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result.replace( ENSEMBLE_STAT_P90_QUANTITY_NAME, ENSEMBLE_STAT_P10_QUANTITY_NAME );
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}
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return result;
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}
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//--------------------------------------------------------------------------------------------------
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///
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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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const double eps = 1.0e-8;
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double rangeX = 0.0, rangeY = 0.0;
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RigStatisticsMath::calculateBasicStatistics( xValues, nullptr, nullptr, nullptr, &rangeX, nullptr, nullptr );
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RigStatisticsMath::calculateBasicStatistics( yValues, nullptr, nullptr, nullptr, &rangeY, nullptr, nullptr );
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if ( rangeX < eps || rangeY < eps ) return 0.0;
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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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size_t sampleSize = xValues.size();
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double meanX = 0.0, meanY = 0.0;
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for ( size_t i = 0; i < sampleSize; ++i )
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{
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meanX += xValues[i];
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meanY += yValues[i];
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}
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meanX /= sampleSize;
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meanY /= sampleSize;
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double sumNumerator = 0.0;
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double sumxDiffSquared = 0.0, sumyDiffSquared = 0.0;
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for ( size_t i = 0; i < sampleSize; ++i )
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{
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double xDiff = xValues[i] - meanX;
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double yDiff = yValues[i] - meanY;
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sumNumerator += xDiff * yDiff;
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sumxDiffSquared += xDiff * xDiff;
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sumyDiffSquared += yDiff * yDiff;
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}
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if ( sumxDiffSquared < eps && sumyDiffSquared < eps ) return 1.0;
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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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}
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