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If not, see * * for a copy of the LGPLv3 License. * ************************************************************************/ // MARKER(update_precomp.py): autogen include statement, do not remove #include "precompiled_chart2.hxx" #include "PotentialRegressionCurveCalculator.hxx" #include "macros.hxx" #include "RegressionCalculationHelper.hxx" #include #include using namespace ::com::sun::star; using ::rtl::OUString; using ::rtl::OUStringBuffer; namespace chart { PotentialRegressionCurveCalculator::PotentialRegressionCurveCalculator() : m_fSlope( 0.0 ), m_fIntercept( 0.0 ) { ::rtl::math::setNan( & m_fSlope ); ::rtl::math::setNan( & m_fIntercept ); } PotentialRegressionCurveCalculator::~PotentialRegressionCurveCalculator() {} // ____ XRegressionCurveCalculator ____ void SAL_CALL PotentialRegressionCurveCalculator::recalculateRegression( const uno::Sequence< double >& aXValues, const uno::Sequence< double >& aYValues ) throw (uno::RuntimeException) { RegressionCalculationHelper::tDoubleVectorPair aValues( RegressionCalculationHelper::cleanup( aXValues, aYValues, RegressionCalculationHelper::isValidAndBothPositive())); const size_t nMax = aValues.first.size(); if( nMax == 0 ) { ::rtl::math::setNan( & m_fSlope ); ::rtl::math::setNan( & m_fIntercept ); ::rtl::math::setNan( & m_fCorrelationCoeffitient ); return; } double fAverageX = 0.0, fAverageY = 0.0; size_t i = 0; for( i = 0; i < nMax; ++i ) { fAverageX += log( aValues.first[i] ); fAverageY += log( aValues.second[i] ); } const double fN = static_cast< double >( nMax ); fAverageX /= fN; fAverageY /= fN; double fQx = 0.0, fQy = 0.0, fQxy = 0.0; for( i = 0; i < nMax; ++i ) { double fDeltaX = log( aValues.first[i] ) - fAverageX; double fDeltaY = log( aValues.second[i] ) - fAverageY; fQx += fDeltaX * fDeltaX; fQy += fDeltaY * fDeltaY; fQxy += fDeltaX * fDeltaY; } m_fSlope = fQxy / fQx; m_fIntercept = fAverageY - m_fSlope * fAverageX; m_fCorrelationCoeffitient = fQxy / sqrt( fQx * fQy ); m_fIntercept = exp( m_fIntercept ); } double SAL_CALL PotentialRegressionCurveCalculator::getCurveValue( double x ) throw (lang::IllegalArgumentException, uno::RuntimeException) { double fResult; ::rtl::math::setNan( & fResult ); if( ! ( ::rtl::math::isNan( m_fSlope ) || ::rtl::math::isNan( m_fIntercept ))) { fResult = m_fIntercept * pow( x, m_fSlope ); } return fResult; } uno::Sequence< geometry::RealPoint2D > SAL_CALL PotentialRegressionCurveCalculator::getCurveValues( double min, double max, ::sal_Int32 nPointCount, const uno::Reference< chart2::XScaling >& xScalingX, const uno::Reference< chart2::XScaling >& xScalingY, ::sal_Bool bMaySkipPointsInCalculation ) throw (lang::IllegalArgumentException, uno::RuntimeException) { if( bMaySkipPointsInCalculation && isLogarithmicScaling( xScalingX ) && isLogarithmicScaling( xScalingY )) { // optimize result uno::Sequence< geometry::RealPoint2D > aResult( 2 ); aResult[0].X = min; aResult[0].Y = this->getCurveValue( min ); aResult[1].X = max; aResult[1].Y = this->getCurveValue( max ); return aResult; } return RegressionCurveCalculator::getCurveValues( min, max, nPointCount, xScalingX, xScalingY, bMaySkipPointsInCalculation ); } OUString PotentialRegressionCurveCalculator::ImplGetRepresentation( const uno::Reference< util::XNumberFormatter >& xNumFormatter, ::sal_Int32 nNumberFormatKey ) const { OUStringBuffer aBuf( C2U( "f(x) = " )); if( m_fIntercept == 0.0 ) { aBuf.append( sal_Unicode( '0' )); } else if( m_fSlope == 0.0 ) { aBuf.append( getFormattedString( xNumFormatter, nNumberFormatKey, m_fIntercept )); } else { if( ! rtl::math::approxEqual( m_fIntercept, 1.0 ) ) { aBuf.append( getFormattedString( xNumFormatter, nNumberFormatKey, m_fIntercept )); aBuf.append( sal_Unicode( ' ' )); } if( m_fSlope != 0.0 ) { aBuf.appendAscii( RTL_CONSTASCII_STRINGPARAM( "x^" )); aBuf.append( getFormattedString( xNumFormatter, nNumberFormatKey, m_fSlope )); } } return aBuf.makeStringAndClear(); } } // namespace chart /* vim:set shiftwidth=4 softtabstop=4 expandtab: */