COMMENT

1 files changed, 143 insertions, 0 deletions

diff --git a/chart2/source/tools/MeanValueRegressionCurveCalculator.cxx b/chart2/source/tools/MeanValueRegressionCurveCalculator.cxx
new file mode 100644
index 000000000000..fef9b7e45054
--- /dev/null
+++ b/chart2/source/tools/MeanValueRegressionCurveCalculator.cxx
@@ -0,0 +1,143 @@
+/*************************************************************************
+ *
+ *  $RCSfile: MeanValueRegressionCurveCalculator.cxx,v $
+ *
+ *  $Revision: 1.1 $
+ *
+ *  last change: $Author: bm $ $Date: 2003-12-17 14:21:01 $
+ *
+ *  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 <rtl/math.hxx>
+#endif
+#ifndef _RTL_USTRBUF_HXX_
+#include <rtl/ustrbuf.hxx>
+#endif
+
+using namespace ::com::sun::star;
+using namespace ::drafts::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