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Diffstat (limited to 'chart2/source/tools/LinearRegressionCurveCalculator.cxx')
| -rw-r--r-- | chart2/source/tools/LinearRegressionCurveCalculator.cxx | 179 |
1 files changed, 179 insertions, 0 deletions
diff --git a/chart2/source/tools/LinearRegressionCurveCalculator.cxx b/chart2/source/tools/LinearRegressionCurveCalculator.cxx new file mode 100644 index 000000000000..7a372cff4f51 --- /dev/null +++ b/chart2/source/tools/LinearRegressionCurveCalculator.cxx @@ -0,0 +1,179 @@ +/************************************************************************* + * + * DO NOT ALTER OR REMOVE COPYRIGHT NOTICES OR THIS FILE HEADER. + * + * Copyright 2000, 2010 Oracle and/or its affiliates. + * + * OpenOffice.org - a multi-platform office productivity suite + * + * This file is part of OpenOffice.org. + * + * OpenOffice.org is free software: you can redistribute it and/or modify + * it under the terms of the GNU Lesser General Public License version 3 + * only, as published by the Free Software Foundation. + * + * OpenOffice.org is distributed in the hope that it will be useful, + * but WITHOUT ANY WARRANTY; without even the implied warranty of + * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the + * GNU Lesser General Public License version 3 for more details + * (a copy is included in the LICENSE file that accompanied this code). + * + * You should have received a copy of the GNU Lesser General Public License + * version 3 along with OpenOffice.org. If not, see + * <http://www.openoffice.org/license.html> + * for a copy of the LGPLv3 License. + * + ************************************************************************/ + +// MARKER(update_precomp.py): autogen include statement, do not remove +#include "precompiled_chart2.hxx" +#include "LinearRegressionCurveCalculator.hxx" +#include "macros.hxx" +#include "RegressionCalculationHelper.hxx" + +#include <rtl/math.hxx> +#include <rtl/ustrbuf.hxx> + +using namespace ::com::sun::star; + +using ::rtl::OUString; +using ::rtl::OUStringBuffer; + +namespace chart +{ + +LinearRegressionCurveCalculator::LinearRegressionCurveCalculator() : + m_fSlope( 0.0 ), + m_fIntercept( 0.0 ) +{ + ::rtl::math::setNan( & m_fSlope ); + ::rtl::math::setNan( & m_fIntercept ); +} + +LinearRegressionCurveCalculator::~LinearRegressionCurveCalculator() +{} + +// ____ XRegressionCurveCalculator ____ +void SAL_CALL LinearRegressionCurveCalculator::recalculateRegression( + const uno::Sequence< double >& aXValues, + const uno::Sequence< double >& aYValues ) + throw (uno::RuntimeException) +{ + RegressionCalculationHelper::tDoubleVectorPair aValues( + RegressionCalculationHelper::cleanup( + aXValues, aYValues, + RegressionCalculationHelper::isValid())); + + 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; + } + + const double fN = static_cast< double >( nMax ); + double fSumX = 0.0, fSumY = 0.0, fSumXSq = 0.0, fSumYSq = 0.0, fSumXY = 0.0; + for( size_t i = 0; i < nMax; ++i ) + { + fSumX += aValues.first[i]; + fSumY += aValues.second[i]; + fSumXSq += aValues.first[i] * aValues.first[i]; + fSumYSq += aValues.second[i] * aValues.second[i]; + fSumXY += aValues.first[i] * aValues.second[i]; + } + + m_fSlope = (fN * fSumXY - fSumX * fSumY) / ( fN * fSumXSq - fSumX * fSumX ); + m_fIntercept = (fSumY - m_fSlope * fSumX) / fN; + + m_fCorrelationCoeffitient = ( fN * fSumXY - fSumX * fSumY ) / + sqrt( ( fN * fSumXSq - fSumX * fSumX ) * + ( fN * fSumYSq - fSumY * fSumY ) ); +} + +double SAL_CALL LinearRegressionCurveCalculator::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_fSlope * x + m_fIntercept; + } + + return fResult; +} + +uno::Sequence< geometry::RealPoint2D > SAL_CALL LinearRegressionCurveCalculator::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 && + isLinearScaling( xScalingX ) && + isLinearScaling( 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 LinearRegressionCurveCalculator::ImplGetRepresentation( + const uno::Reference< util::XNumberFormatter >& xNumFormatter, + ::sal_Int32 nNumberFormatKey ) const +{ + OUStringBuffer aBuf( C2U( "f(x) = " )); + + bool bHaveSlope = false; + + if( m_fSlope != 0.0 ) + { + if( ::rtl::math::approxEqual( fabs( m_fSlope ), 1.0 )) + { + if( m_fSlope < 0 ) + aBuf.append( UC_MINUS_SIGN ); + } + else + aBuf.append( getFormattedString( xNumFormatter, nNumberFormatKey, m_fSlope )); + aBuf.append( sal_Unicode( 'x' )); + bHaveSlope = true; + } + + if( bHaveSlope ) + { + if( m_fIntercept < 0.0 ) + { + aBuf.append( UC_SPACE ); + aBuf.append( UC_MINUS_SIGN ); + aBuf.append( UC_SPACE ); + aBuf.append( getFormattedString( xNumFormatter, nNumberFormatKey, fabs( m_fIntercept ))); + } + else if( m_fIntercept > 0.0 ) + { + aBuf.appendAscii( RTL_CONSTASCII_STRINGPARAM( " + " )); + aBuf.append( getFormattedString( xNumFormatter, nNumberFormatKey, m_fIntercept )); + } + } + else + { + aBuf.append( getFormattedString( xNumFormatter, nNumberFormatKey, m_fIntercept )); + } + + return aBuf.makeStringAndClear(); +} + +} // namespace chart |