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libreoffice/chart2/source/tools/LinearRegressionCurveCalculator.cxx

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2003-12-17 13:06:20 +00:00
/*************************************************************************
*
* $RCSfile: LinearRegressionCurveCalculator.cxx,v $
*
* $Revision: 1.3 $
2003-12-17 13:06:20 +00:00
*
* last change: $Author: bm $ $Date: 2004-01-26 09:13:03 $
2003-12-17 13:06:20 +00:00
*
* The Contents of this file are made available subject to the terms of
* either of the following licenses
*
* - GNU Lesser General Public License Version 2.1
* - Sun Industry Standards Source License Version 1.1
*
* Sun Microsystems Inc., October, 2000
*
* GNU Lesser General Public License Version 2.1
* =============================================
* Copyright 2000 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
*
*
* Sun Industry Standards Source License Version 1.1
* =================================================
* The contents of this file are subject to the Sun Industry Standards
* Source License Version 1.1 (the "License"); You may not use this file
* except in compliance with the License. You may obtain a copy of the
* License at http://www.openoffice.org/license.html.
*
* Software provided under this License is provided on an "AS IS" basis,
* WITHOUT WARRANTY OF ANY KIND, EITHER EXPRESSED OR IMPLIED, INCLUDING,
* WITHOUT LIMITATION, WARRANTIES THAT THE SOFTWARE IS FREE OF DEFECTS,
* MERCHANTABLE, FIT FOR A PARTICULAR PURPOSE, OR NON-INFRINGING.
* See the License for the specific provisions governing your rights and
* obligations concerning the Software.
*
* The Initial Developer of the Original Code is: Sun Microsystems, Inc.
*
* Copyright: 2003 by Sun Microsystems, Inc.
*
* All Rights Reserved.
*
* Contributor(s): _______________________________________
*
*
************************************************************************/
#include "LinearRegressionCurveCalculator.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
{
LinearRegressionCurveCalculator::LinearRegressionCurveCalculator() :
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 );
}
LinearRegressionCurveCalculator::~LinearRegressionCurveCalculator()
{}
// ____ XRegressionCurve ____
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;
}
double SAL_CALL LinearRegressionCurveCalculator::getCorrelationCoefficient()
throw (uno::RuntimeException)
{
return m_fCorrelationCoeffitient;
}
OUString SAL_CALL LinearRegressionCurveCalculator::getRepresentation()
throw (uno::RuntimeException)
{
OUStringBuffer aBuf( C2U( "f(x) = " ));
bool bHaveSlope = false;
if( m_fSlope != 0.0 )
{
aBuf.append( NUMBER_TO_STR( m_fSlope ));
aBuf.append( sal_Unicode( ' ' ));
aBuf.append( sal_Unicode( 0x00b7 ));
aBuf.append( sal_Unicode( ' ' ));
aBuf.append( sal_Unicode( 'x' ));
bHaveSlope = true;
}
if( m_fIntercept != 0.0 )
{
if( ! bHaveSlope )
{
aBuf.append( NUMBER_TO_STR( m_fIntercept ));
}
else
{
if( m_fIntercept < 0.0 )
{
aBuf.appendAscii( RTL_CONSTASCII_STRINGPARAM( " - " ));
aBuf.append( NUMBER_TO_STR( fabs( m_fIntercept )));
}
else
{
aBuf.appendAscii( RTL_CONSTASCII_STRINGPARAM( " + " ));
aBuf.append( NUMBER_TO_STR( m_fIntercept ));
}
}
}
return aBuf.makeStringAndClear();
}
} // namespace chart