205 lines
6.2 KiB
C++
205 lines
6.2 KiB
C++
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/*************************************************************************
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*
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* $RCSfile: LogarithmicRegressionCurveCalculator.cxx,v $
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*
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* $Revision: 1.1 $
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*
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* last change: $Author: bm $ $Date: 2003-12-17 14:38:29 $
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*
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* The Contents of this file are made available subject to the terms of
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* either of the following licenses
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*
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* - GNU Lesser General Public License Version 2.1
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* - Sun Industry Standards Source License Version 1.1
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*
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* Sun Microsystems Inc., October, 2000
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*
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* GNU Lesser General Public License Version 2.1
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* =============================================
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* Copyright 2000 by Sun Microsystems, Inc.
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* 901 San Antonio Road, Palo Alto, CA 94303, USA
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*
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* This library is free software; you can redistribute it and/or
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* modify it under the terms of the GNU Lesser General Public
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* License version 2.1, as published by the Free Software Foundation.
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*
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* This library 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 GNU
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* Lesser General Public License for more details.
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*
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* You should have received a copy of the GNU Lesser General Public
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* License along with this library; if not, write to the Free Software
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* Foundation, Inc., 59 Temple Place, Suite 330, Boston,
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* MA 02111-1307 USA
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*
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*
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* Sun Industry Standards Source License Version 1.1
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* =================================================
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* The contents of this file are subject to the Sun Industry Standards
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* Source License Version 1.1 (the "License"); You may not use this file
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* except in compliance with the License. You may obtain a copy of the
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* License at http://www.openoffice.org/license.html.
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*
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* Software provided under this License is provided on an "AS IS" basis,
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* WITHOUT WARRANTY OF ANY KIND, EITHER EXPRESSED OR IMPLIED, INCLUDING,
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* WITHOUT LIMITATION, WARRANTIES THAT THE SOFTWARE IS FREE OF DEFECTS,
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* MERCHANTABLE, FIT FOR A PARTICULAR PURPOSE, OR NON-INFRINGING.
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* See the License for the specific provisions governing your rights and
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* obligations concerning the Software.
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*
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* The Initial Developer of the Original Code is: Sun Microsystems, Inc.
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*
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* Copyright: 2003 by Sun Microsystems, Inc.
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*
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* All Rights Reserved.
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*
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* Contributor(s): _______________________________________
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*
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*
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************************************************************************/
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#include "LogarithmicRegressionCurveCalculator.hxx"
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#include "macros.hxx"
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#include "RegressionCalculationHelper.hxx"
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#ifndef INCLUDED_RTL_MATH_HXX
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#include <rtl/math.hxx>
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#endif
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#ifndef _RTL_USTRBUF_HXX_
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#include <rtl/ustrbuf.hxx>
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#endif
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using namespace ::com::sun::star;
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using namespace ::drafts::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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LogarithmicRegressionCurveCalculator::LogarithmicRegressionCurveCalculator() :
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m_fSlope( 0.0 ),
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m_fIntercept( 0.0 ),
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m_fCorrelationCoeffitient( 0.0 )
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{
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::rtl::math::setNan( & m_fSlope );
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::rtl::math::setNan( & m_fIntercept );
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::rtl::math::setNan( & m_fCorrelationCoeffitient );
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}
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LogarithmicRegressionCurveCalculator::~LogarithmicRegressionCurveCalculator()
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{}
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// ____ XRegressionCurve ____
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void SAL_CALL LogarithmicRegressionCurveCalculator::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::isValidAndXPositive()));
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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_fSlope );
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::rtl::math::setNan( & m_fIntercept );
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::rtl::math::setNan( & m_fCorrelationCoeffitient );
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return;
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}
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double fAverageX = 0.0, fAverageY = 0.0;
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for( size_t i = 0; i < nMax; ++i )
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{
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fAverageX += log( aValues.first[i] );
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fAverageY += 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 = log( aValues.first[i] ) - fAverageX;
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double fDeltaY = 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_fSlope = fQxy / fQx;
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m_fIntercept = fAverageY - m_fSlope * fAverageX;
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m_fCorrelationCoeffitient = fQxy / sqrt( fQx * fQy );
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}
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double SAL_CALL LogarithmicRegressionCurveCalculator::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_fSlope ) ||
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::rtl::math::isNan( m_fIntercept )))
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{
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fResult = m_fSlope * log( x ) + m_fIntercept;
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}
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return fResult;
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}
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double SAL_CALL LogarithmicRegressionCurveCalculator::getCorrelationCoefficient()
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throw (uno::RuntimeException)
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{
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return m_fCorrelationCoeffitient;
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}
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OUString SAL_CALL LogarithmicRegressionCurveCalculator::getRepresentation()
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throw (uno::RuntimeException)
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{
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OUStringBuffer aBuf( C2U( "f(x) = " ));
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bool bHaveSlope = false;
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if( m_fSlope != 0.0 )
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{
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aBuf.append( NUMBER_TO_STR( m_fSlope ));
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aBuf.append( sal_Unicode( ' ' ));
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aBuf.append( sal_Unicode( 0x00b7 ));
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aBuf.append( sal_Unicode( ' ' ));
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aBuf.appendAscii( RTL_CONSTASCII_STRINGPARAM( "log(x)" ));
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bHaveSlope = true;
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}
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if( m_fIntercept != 0.0 )
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{
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if( ! bHaveSlope )
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{
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aBuf.append( NUMBER_TO_STR( m_fIntercept ));
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}
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else
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{
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if( m_fIntercept < 0.0 )
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{
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aBuf.appendAscii( RTL_CONSTASCII_STRINGPARAM( " - " ));
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aBuf.append( NUMBER_TO_STR( fabs( m_fIntercept )));
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}
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else
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{
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aBuf.appendAscii( RTL_CONSTASCII_STRINGPARAM( " + " ));
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aBuf.append( NUMBER_TO_STR( m_fIntercept ));
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}
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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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