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/*************************************************************************
*
* OpenOffice.org - a multi-platform office productivity suite
*
* $RCSfile: ExponentialRegressionCurveCalculator.cxx,v $
*
* $Revision: 1.5 $
*
* last change: $Author: obo $ $Date: 2006-09-17 13:24:12 $
*
* The Contents of this file are made available subject to
* the terms of GNU Lesser General Public License Version 2.1.
*
*
* GNU Lesser General Public License Version 2.1
* =============================================
* Copyright 2005 by Sun Microsystems, Inc.
* 901 San Antonio Road, Palo Alto, CA 94303, USA
*
* This library is free software; you can redistribute it and/or
* modify it under the terms of the GNU Lesser General Public
* License version 2.1, as published by the Free Software Foundation.
*
* This library 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 for more details.
*
* You should have received a copy of the GNU Lesser General Public
* License along with this library; if not, write to the Free Software
* Foundation, Inc., 59 Temple Place, Suite 330, Boston,
* MA 02111-1307 USA
*
************************************************************************/
// MARKER(update_precomp.py): autogen include statement, do not remove
#include "precompiled_chart2.hxx"
#include "ExponentialRegressionCurveCalculator.hxx"
#include "macros.hxx"
#include "RegressionCalculationHelper.hxx"
#ifndef INCLUDED_RTL_MATH_HXX
#include <rtl/math.hxx>
#endif
#ifndef _RTL_USTRBUF_HXX_
#include <rtl/ustrbuf.hxx>
#endif
using namespace ::com::sun::star;
using ::rtl::OUString;
using ::rtl::OUStringBuffer;
namespace chart
{
ExponentialRegressionCurveCalculator::ExponentialRegressionCurveCalculator() :
m_fSlope( 0.0 ),
m_fIntercept( 0.0 ),
m_fCorrelationCoeffitient( 0.0 )
{
::rtl::math::setNan( & m_fSlope );
::rtl::math::setNan( & m_fIntercept );
::rtl::math::setNan( & m_fCorrelationCoeffitient );
}
ExponentialRegressionCurveCalculator::~ExponentialRegressionCurveCalculator()
{}
// ____ XRegressionCurveCalculator ____
void SAL_CALL ExponentialRegressionCurveCalculator::recalculateRegression(
const uno::Sequence< double >& aXValues,
const uno::Sequence< double >& aYValues )
throw (uno::RuntimeException)
{
RegressionCalculationHelper::tDoubleVectorPair aValues(
RegressionCalculationHelper::cleanup(
aXValues, aYValues,
RegressionCalculationHelper::isValidAndYPositive()));
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 += 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 = 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_fSlope = exp( m_fSlope );
m_fIntercept = exp( m_fIntercept );
}
double SAL_CALL ExponentialRegressionCurveCalculator::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( m_fSlope, x );
}
return fResult;
}
double SAL_CALL ExponentialRegressionCurveCalculator::getCorrelationCoefficient()
throw (uno::RuntimeException)
{
return m_fCorrelationCoeffitient;
}
OUString SAL_CALL ExponentialRegressionCurveCalculator::getRepresentation()
throw (uno::RuntimeException)
{
OUStringBuffer aBuf( C2U( "f(x) = " ));
if( m_fIntercept == 0.0 ||
m_fSlope == 0.0 )
{
aBuf.append( sal_Unicode( '0' ));
}
else if( rtl::math::approxEqual( m_fSlope, 1.0 ) )
{
aBuf.append( NUMBER_TO_STR( m_fIntercept ));
}
else
{
if( ! rtl::math::approxEqual( m_fIntercept, 1.0 ) )
{
aBuf.append( NUMBER_TO_STR( m_fIntercept ));
aBuf.append( sal_Unicode( ' ' ));
aBuf.append( sal_Unicode( 0x00b7 ));
aBuf.append( sal_Unicode( ' ' ));
}
aBuf.append( NUMBER_TO_STR( m_fSlope ));
aBuf.appendAscii( RTL_CONSTASCII_STRINGPARAM( "^x" ));
}
return aBuf.makeStringAndClear();
}
} // namespace chart
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