/************************************************************************* * * $RCSfile: MeanValueRegressionCurveCalculator.cxx,v $ * * $Revision: 1.2 $ * * last change: $Author: bm $ $Date: 2004-01-26 09:13:03 $ * * 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 "MeanValueRegressionCurveCalculator.hxx" #include "macros.hxx" #include "RegressionCalculationHelper.hxx" #ifndef INCLUDED_RTL_MATH_HXX #include #endif #ifndef _RTL_USTRBUF_HXX_ #include #endif using namespace ::com::sun::star; using ::rtl::OUString; using ::rtl::OUStringBuffer; namespace chart { MeanValueRegressionCurveCalculator::MeanValueRegressionCurveCalculator() : m_fMeanValue( 0.0 ), m_fCorrelationCoeffitient( 0.0 ) { ::rtl::math::setNan( & m_fMeanValue ); ::rtl::math::setNan( & m_fCorrelationCoeffitient ); } MeanValueRegressionCurveCalculator::~MeanValueRegressionCurveCalculator() {} // ____ XRegressionCurveCalculator ____ void SAL_CALL MeanValueRegressionCurveCalculator::recalculateRegression( const uno::Sequence< double >& aXValues, const uno::Sequence< double >& aYValues ) throw (uno::RuntimeException) { sal_Int32 nMax = aYValues.getLength(); double fSumY = 0.0; const double * pY = aYValues.getConstArray(); for( sal_Int32 i = 0; i < nMax; ++i ) { if( ::rtl::math::isNan( pY[i] ) || ::rtl::math::isInf( pY[i] )) --nMax; else fSumY += pY[i]; } if( nMax == 0 ) ::rtl::math::setNan( & m_fMeanValue ); else m_fMeanValue = fSumY / static_cast< double >( nMax ); // todo: calculate r for constant regression (== standard deviation?) // m_fCorrelationCoeffitient = ?; } double SAL_CALL MeanValueRegressionCurveCalculator::getCurveValue( double x ) throw (lang::IllegalArgumentException, uno::RuntimeException) { return m_fMeanValue; } double SAL_CALL MeanValueRegressionCurveCalculator::getCorrelationCoefficient() throw (uno::RuntimeException) { return m_fCorrelationCoeffitient; } OUString SAL_CALL MeanValueRegressionCurveCalculator::getRepresentation() throw (uno::RuntimeException) { OUStringBuffer aBuf( C2U( "f(x) = " )); aBuf.append( NUMBER_TO_STR( m_fMeanValue )); return aBuf.makeStringAndClear(); } } // namespace chart