199 lines
6.6 KiB
C++
199 lines
6.6 KiB
C++
/* -*- Mode: C++; tab-width: 4; indent-tabs-mode: nil; c-basic-offset: 4 -*- */
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/*************************************************************************
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*
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* DO NOT ALTER OR REMOVE COPYRIGHT NOTICES OR THIS FILE HEADER.
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*
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* Copyright 2000, 2010 Oracle and/or its affiliates.
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*
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* OpenOffice.org - a multi-platform office productivity suite
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*
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* This file is part of OpenOffice.org.
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*
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* OpenOffice.org is free software: you can redistribute it and/or modify
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* it under the terms of the GNU Lesser General Public License version 3
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* only, as published by the Free Software Foundation.
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*
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* OpenOffice.org is distributed in the hope that it will be useful,
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* but WITHOUT ANY WARRANTY; without even the implied warranty of
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* MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
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* GNU Lesser General Public License version 3 for more details
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* (a copy is included in the LICENSE file that accompanied this code).
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*
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* You should have received a copy of the GNU Lesser General Public License
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* version 3 along with OpenOffice.org. If not, see
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* <http://www.openoffice.org/license.html>
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* for a copy of the LGPLv3 License.
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*
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************************************************************************/
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#include "ExponentialRegressionCurveCalculator.hxx"
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#include "macros.hxx"
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#include "RegressionCalculationHelper.hxx"
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#include <rtl/math.hxx>
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#include <rtl/ustrbuf.hxx>
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using namespace ::com::sun::star;
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using ::rtl::OUString;
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using ::rtl::OUStringBuffer;
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namespace chart
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{
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ExponentialRegressionCurveCalculator::ExponentialRegressionCurveCalculator() :
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m_fLogSlope( 0.0 ),
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m_fLogIntercept( 0.0 )
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{
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::rtl::math::setNan( & m_fLogSlope );
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::rtl::math::setNan( & m_fLogIntercept );
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}
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ExponentialRegressionCurveCalculator::~ExponentialRegressionCurveCalculator()
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{}
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// ____ XRegressionCurveCalculator ____
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void SAL_CALL ExponentialRegressionCurveCalculator::recalculateRegression(
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const uno::Sequence< double >& aXValues,
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const uno::Sequence< double >& aYValues )
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throw (uno::RuntimeException)
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{
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RegressionCalculationHelper::tDoubleVectorPair aValues(
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RegressionCalculationHelper::cleanup(
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aXValues, aYValues,
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RegressionCalculationHelper::isValidAndYPositive()));
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const size_t nMax = aValues.first.size();
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if( nMax == 0 )
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{
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::rtl::math::setNan( & m_fLogSlope );
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::rtl::math::setNan( & m_fLogIntercept );
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::rtl::math::setNan( & m_fCorrelationCoeffitient );// actual it is coefficient of determination
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return;
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}
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double fAverageX = 0.0, fAverageY = 0.0;
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size_t i = 0;
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for( i = 0; i < nMax; ++i )
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{
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fAverageX += aValues.first[i];
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fAverageY += log( aValues.second[i] );
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}
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const double fN = static_cast< double >( nMax );
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fAverageX /= fN;
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fAverageY /= fN;
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double fQx = 0.0, fQy = 0.0, fQxy = 0.0;
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for( i = 0; i < nMax; ++i )
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{
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double fDeltaX = aValues.first[i] - fAverageX;
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double fDeltaY = log( aValues.second[i] ) - fAverageY;
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fQx += fDeltaX * fDeltaX;
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fQy += fDeltaY * fDeltaY;
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fQxy += fDeltaX * fDeltaY;
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}
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m_fLogSlope = fQxy / fQx;
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m_fLogIntercept = fAverageY - m_fLogSlope * fAverageX;
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m_fCorrelationCoeffitient = fQxy / sqrt( fQx * fQy );
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}
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double SAL_CALL ExponentialRegressionCurveCalculator::getCurveValue( double x )
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throw (lang::IllegalArgumentException,
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uno::RuntimeException)
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{
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double fResult;
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::rtl::math::setNan( & fResult );
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if( ! ( ::rtl::math::isNan( m_fLogSlope ) ||
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::rtl::math::isNan( m_fLogIntercept )))
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{
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fResult = exp(m_fLogIntercept + x * m_fLogSlope);
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}
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return fResult;
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}
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uno::Sequence< geometry::RealPoint2D > SAL_CALL ExponentialRegressionCurveCalculator::getCurveValues(
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double min, double max, ::sal_Int32 nPointCount,
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const uno::Reference< chart2::XScaling >& xScalingX,
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const uno::Reference< chart2::XScaling >& xScalingY,
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::sal_Bool bMaySkipPointsInCalculation )
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throw (lang::IllegalArgumentException,
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uno::RuntimeException)
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{
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if( bMaySkipPointsInCalculation &&
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isLinearScaling( xScalingX ) &&
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isLogarithmicScaling( xScalingY ))
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{
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// optimize result
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uno::Sequence< geometry::RealPoint2D > aResult( 2 );
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aResult[0].X = min;
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aResult[0].Y = this->getCurveValue( min );
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aResult[1].X = max;
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aResult[1].Y = this->getCurveValue( max );
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return aResult;
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}
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return RegressionCurveCalculator::getCurveValues( min, max, nPointCount, xScalingX, xScalingY, bMaySkipPointsInCalculation );
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}
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OUString ExponentialRegressionCurveCalculator::ImplGetRepresentation(
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const uno::Reference< util::XNumberFormatter >& xNumFormatter,
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::sal_Int32 nNumberFormatKey ) const
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{
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double fIntercept = exp(m_fLogIntercept);
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double fSlope = exp(m_fLogSlope);
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bool bHasSlope = !rtl::math::approxEqual( fSlope, 1.0 );
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bool bHasIntercept = !rtl::math::approxEqual( fIntercept, 1.0 );
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OUStringBuffer aBuf( C2U( "f(x) = " ));
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if ( fIntercept == 0.0)
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{
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// underflow, a true zero is impossible
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aBuf.append( C2U( "exp( " ));
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aBuf.append( getFormattedString( xNumFormatter, nNumberFormatKey, m_fLogIntercept) );
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aBuf.append( (m_fLogSlope < 0.0) ? C2U( " - " ) : C2U( " + " ));
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aBuf.append( getFormattedString( xNumFormatter, nNumberFormatKey, fabs(m_fLogSlope)) );
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aBuf.append( C2U( " x )" ));
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}
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else
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{
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if (bHasIntercept)
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{
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aBuf.append( getFormattedString( xNumFormatter, nNumberFormatKey, fIntercept) );
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aBuf.append( C2U( " exp( " ));
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aBuf.append( getFormattedString( xNumFormatter, nNumberFormatKey, m_fLogSlope) );
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aBuf.append( C2U( " x )" ));
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}
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else
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{
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// show logarithmic output, if intercept and slope both are near one
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// otherwise drop output of intercept, which is 1 here
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aBuf.append( C2U( " exp( " ));
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if (!bHasSlope)
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{
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aBuf.append( getFormattedString( xNumFormatter, nNumberFormatKey, m_fLogIntercept) );
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aBuf.append( (m_fLogSlope < 0.0) ? C2U( " - " ) : C2U( " + " ));
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aBuf.append( getFormattedString( xNumFormatter, nNumberFormatKey, fabs(m_fLogSlope)) );
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}
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else
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{
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aBuf.append( getFormattedString( xNumFormatter, nNumberFormatKey, m_fLogSlope) );
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}
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aBuf.append( C2U( " x )" ));
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}
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}
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return aBuf.makeStringAndClear();
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}
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} // namespace chart
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/* vim:set shiftwidth=4 softtabstop=4 expandtab: */
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