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diff --git a/chart2/source/tools/ExponentialRegressionCurveCalculator.cxx b/chart2/source/tools/ExponentialRegressionCurveCalculator.cxx
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+/* -*- Mode: C++; tab-width: 4; indent-tabs-mode: nil; c-basic-offset: 4 -*- */
+/*************************************************************************
+ *
+ * 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 "ExponentialRegressionCurveCalculator.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
+{
+
+ExponentialRegressionCurveCalculator::ExponentialRegressionCurveCalculator() :
+ m_fLogSlope( 0.0 ),
+ m_fLogIntercept( 0.0 )
+{
+ ::rtl::math::setNan( & m_fLogSlope );
+ ::rtl::math::setNan( & m_fLogIntercept );
+}
+
+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_fLogSlope );
+ ::rtl::math::setNan( & m_fLogIntercept );
+ ::rtl::math::setNan( & m_fCorrelationCoeffitient );// actual it is coefficient of determination
+ 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_fLogSlope = fQxy / fQx;
+ m_fLogIntercept = fAverageY - m_fLogSlope * fAverageX;
+ m_fCorrelationCoeffitient = fQxy / sqrt( fQx * fQy );
+
+}
+
+double SAL_CALL ExponentialRegressionCurveCalculator::getCurveValue( double x )
+ throw (lang::IllegalArgumentException,
+ uno::RuntimeException)
+{
+ double fResult;
+ ::rtl::math::setNan( & fResult );
+
+ if( ! ( ::rtl::math::isNan( m_fLogSlope ) ||
+ ::rtl::math::isNan( m_fLogIntercept )))
+ {
+ fResult = exp(m_fLogIntercept + x * m_fLogSlope);
+ }
+
+ return fResult;
+}
+
+uno::Sequence< geometry::RealPoint2D > SAL_CALL ExponentialRegressionCurveCalculator::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 &&
+ isLinearScaling( xScalingX ) &&
+ isLogarithmicScaling( 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 ExponentialRegressionCurveCalculator::ImplGetRepresentation(
+ const uno::Reference< util::XNumberFormatter >& xNumFormatter,
+ ::sal_Int32 nNumberFormatKey ) const
+{
+ double fIntercept = exp(m_fLogIntercept);
+ double fSlope = exp(m_fLogSlope);
+ bool bHasSlope = !rtl::math::approxEqual( fSlope, 1.0 );
+ bool bHasIntercept = !rtl::math::approxEqual( fIntercept, 1.0 );
+
+ OUStringBuffer aBuf( C2U( "f(x) = " ));
+
+ if ( fIntercept == 0.0)
+ {
+ // underflow, a true zero is impossible
+ aBuf.append( C2U( "exp( " ));
+ aBuf.append( getFormattedString( xNumFormatter, nNumberFormatKey, m_fLogIntercept) );
+ aBuf.append( (m_fLogSlope < 0.0) ? C2U( " - " ) : C2U( " + " ));
+ aBuf.append( getFormattedString( xNumFormatter, nNumberFormatKey, fabs(m_fLogSlope)) );
+ aBuf.append( C2U( " x )" ));
+ }
+ else
+ {
+ if (bHasIntercept)
+ {
+ aBuf.append( getFormattedString( xNumFormatter, nNumberFormatKey, fIntercept) );
+ aBuf.append( C2U( " exp( " ));
+ aBuf.append( getFormattedString( xNumFormatter, nNumberFormatKey, m_fLogSlope) );
+ aBuf.append( C2U( " x )" ));
+ }
+ else
+ {
+ // show logarithmic output, if intercept and slope both are near one
+ // otherwise drop output of intercept, which is 1 here
+ aBuf.append( C2U( " exp( " ));
+ if (!bHasSlope)
+ {
+ aBuf.append( getFormattedString( xNumFormatter, nNumberFormatKey, m_fLogIntercept) );
+ aBuf.append( (m_fLogSlope < 0.0) ? C2U( " - " ) : C2U( " + " ));
+ aBuf.append( getFormattedString( xNumFormatter, nNumberFormatKey, fabs(m_fLogSlope)) );
+ }
+ else
+ {
+ aBuf.append( getFormattedString( xNumFormatter, nNumberFormatKey, m_fLogSlope) );
+ }
+ aBuf.append( C2U( " x )" ));
+ }
+ }
+
+ return aBuf.makeStringAndClear();
+}
+
+} // namespace chart
+
+/* vim:set shiftwidth=4 softtabstop=4 expandtab: */