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diff --git a/chart2/source/tools/LogarithmicRegressionCurveCalculator.cxx b/chart2/source/tools/LogarithmicRegressionCurveCalculator.cxx
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+/*************************************************************************
+ *
+ * DO NOT ALTER OR REMOVE COPYRIGHT NOTICES OR THIS FILE HEADER.
+ *
+ * Copyright 2000, 2010 Oracle and/or its affiliates.
+ *
+ * OpenOffice.org - a multi-platform office productivity suite
+ *
+ * This file is part of OpenOffice.org.
+ *
+ * OpenOffice.org is free software: you can redistribute it and/or modify
+ * it under the terms of the GNU Lesser General Public License version 3
+ * only, as published by the Free Software Foundation.
+ *
+ * OpenOffice.org 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 version 3 for more details
+ * (a copy is included in the LICENSE file that accompanied this code).
+ *
+ * You should have received a copy of the GNU Lesser General Public License
+ * version 3 along with OpenOffice.org. If not, see
+ * <http://www.openoffice.org/license.html>
+ * for a copy of the LGPLv3 License.
+ *
+ ************************************************************************/
+
+// MARKER(update_precomp.py): autogen include statement, do not remove
+#include "precompiled_chart2.hxx"
+#include "LogarithmicRegressionCurveCalculator.hxx"
+#include "macros.hxx"
+#include "RegressionCalculationHelper.hxx"
+
+#include <rtl/math.hxx>
+#include <rtl/ustrbuf.hxx>
+
+using namespace ::com::sun::star;
+
+using ::rtl::OUString;
+using ::rtl::OUStringBuffer;
+
+namespace chart
+{
+
+LogarithmicRegressionCurveCalculator::LogarithmicRegressionCurveCalculator() :
+ m_fSlope( 0.0 ),
+ m_fIntercept( 0.0 )
+{
+ ::rtl::math::setNan( & m_fSlope );
+ ::rtl::math::setNan( & m_fIntercept );
+}
+
+LogarithmicRegressionCurveCalculator::~LogarithmicRegressionCurveCalculator()
+{}
+
+// ____ XRegressionCurve ____
+void SAL_CALL LogarithmicRegressionCurveCalculator::recalculateRegression(
+ const uno::Sequence< double >& aXValues,
+ const uno::Sequence< double >& aYValues )
+ throw (uno::RuntimeException)
+{
+ RegressionCalculationHelper::tDoubleVectorPair aValues(
+ RegressionCalculationHelper::cleanup(
+ aXValues, aYValues,
+ RegressionCalculationHelper::isValidAndXPositive()));
+
+ 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 += log( aValues.first[i] );
+ fAverageY += 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 = log( aValues.first[i] ) - fAverageX;
+ double fDeltaY = 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 );
+}
+
+double SAL_CALL LogarithmicRegressionCurveCalculator::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 * log( x ) + m_fIntercept;
+ }
+
+ return fResult;
+}
+
+uno::Sequence< geometry::RealPoint2D > SAL_CALL LogarithmicRegressionCurveCalculator::getCurveValues(
+ double min, double max, ::sal_Int32 nPointCount,
+ const uno::Reference< chart2::XScaling >& xScalingX,
+ const uno::Reference< chart2::XScaling >& xScalingY,
+ ::sal_Bool bMaySkipPointsInCalculation )
+ throw (lang::IllegalArgumentException,
+ uno::RuntimeException)
+{
+ if( bMaySkipPointsInCalculation &&
+ isLogarithmicScaling( xScalingX ) &&
+ isLinearScaling( xScalingY ))
+ {
+ // optimize result
+ uno::Sequence< geometry::RealPoint2D > aResult( 2 );
+ aResult[0].X = min;
+ aResult[0].Y = this->getCurveValue( min );
+ aResult[1].X = max;
+ aResult[1].Y = this->getCurveValue( max );
+
+ return aResult;
+ }
+ return RegressionCurveCalculator::getCurveValues( min, max, nPointCount, xScalingX, xScalingY, bMaySkipPointsInCalculation );
+}
+
+OUString LogarithmicRegressionCurveCalculator::ImplGetRepresentation(
+ const uno::Reference< util::XNumberFormatter >& xNumFormatter,
+ ::sal_Int32 nNumberFormatKey ) const
+{
+ OUStringBuffer aBuf( C2U( "f(x) = " ));
+
+ bool bHaveSlope = false;
+
+ if( m_fSlope != 0.0 )
+ {
+ if( ::rtl::math::approxEqual( fabs( m_fSlope ), 1.0 ))
+ {
+ if( m_fSlope < 0 )
+ aBuf.append( UC_MINUS_SIGN );
+ }
+ else
+ {
+ aBuf.append( getFormattedString( xNumFormatter, nNumberFormatKey, m_fSlope ));
+ aBuf.append( UC_SPACE );
+ }
+ aBuf.appendAscii( RTL_CONSTASCII_STRINGPARAM( "ln(x)" ));
+ bHaveSlope = true;
+ }
+
+ if( bHaveSlope )
+ {
+ if( m_fIntercept < 0.0 )
+ {
+ aBuf.append( UC_SPACE );
+ aBuf.append( UC_MINUS_SIGN );
+ aBuf.append( UC_SPACE );
+ aBuf.append( getFormattedString( xNumFormatter, nNumberFormatKey, fabs( m_fIntercept )));
+ }
+ else if( m_fIntercept > 0.0 )
+ {
+ aBuf.appendAscii( RTL_CONSTASCII_STRINGPARAM( " + " ));
+ aBuf.append( getFormattedString( xNumFormatter, nNumberFormatKey, m_fIntercept ));
+ }
+ }
+ else
+ {
+ aBuf.append( getFormattedString( xNumFormatter, nNumberFormatKey, m_fIntercept ));
+ }
+
+ return aBuf.makeStringAndClear();
+}
+
+} // namespace chart