186 lines
6.5 KiB
C++
186 lines
6.5 KiB
C++
/* -*- Mode: C++; tab-width: 4; indent-tabs-mode: nil; c-basic-offset: 4 -*- */
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/*
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* This file is part of the LibreOffice project.
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*
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* This Source Code Form is subject to the terms of the Mozilla Public
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* License, v. 2.0. If a copy of the MPL was not distributed with this
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* file, You can obtain one at http://mozilla.org/MPL/2.0/.
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*
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* This file incorporates work covered by the following license notice:
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*
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* Licensed to the Apache Software Foundation (ASF) under one or more
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* contributor license agreements. See the NOTICE file distributed
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* with this work for additional information regarding copyright
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* ownership. The ASF licenses this file to you under the Apache
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* License, Version 2.0 (the "License"); you may not use this file
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* except in compliance with the License. You may obtain a copy of
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* the License at http://www.apache.org/licenses/LICENSE-2.0 .
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*/
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#include <LogarithmicRegressionCurveCalculator.hxx>
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#include <RegressionCalculationHelper.hxx>
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#include <SpecialCharacters.hxx>
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#include <rtl/math.hxx>
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#include <rtl/ustrbuf.hxx>
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using namespace ::com::sun::star;
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namespace chart
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{
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LogarithmicRegressionCurveCalculator::LogarithmicRegressionCurveCalculator() :
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m_fSlope( std::numeric_limits<double>::quiet_NaN() ),
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m_fIntercept( std::numeric_limits<double>::quiet_NaN() )
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{
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}
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LogarithmicRegressionCurveCalculator::~LogarithmicRegressionCurveCalculator()
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{}
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// ____ XRegressionCurve ____
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void SAL_CALL LogarithmicRegressionCurveCalculator::recalculateRegression(
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const uno::Sequence< double >& aXValues,
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const uno::Sequence< double >& aYValues )
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{
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RegressionCalculationHelper::tDoubleVectorPair aValues(
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RegressionCalculationHelper::cleanup(
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aXValues, aYValues,
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RegressionCalculationHelper::isValidAndXPositive()));
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const size_t nMax = aValues.first.size();
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if( nMax <= 1 ) // at least 2 points
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{
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m_fSlope = std::numeric_limits<double>::quiet_NaN();
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m_fIntercept = std::numeric_limits<double>::quiet_NaN();
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m_fCorrelationCoefficient = std::numeric_limits<double>::quiet_NaN();
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return;
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}
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double fAverageX = 0.0, fAverageY = 0.0;
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size_t i = 0;
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for( i = 0; i < nMax; ++i )
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{
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fAverageX += log( aValues.first[i] );
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fAverageY += aValues.second[i];
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}
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const double fN = static_cast< double >( nMax );
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fAverageX /= fN;
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fAverageY /= fN;
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double fQx = 0.0, fQy = 0.0, fQxy = 0.0;
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for( i = 0; i < nMax; ++i )
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{
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double fDeltaX = log( aValues.first[i] ) - fAverageX;
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double fDeltaY = aValues.second[i] - fAverageY;
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fQx += fDeltaX * fDeltaX;
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fQy += fDeltaY * fDeltaY;
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fQxy += fDeltaX * fDeltaY;
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}
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m_fSlope = fQxy / fQx;
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m_fIntercept = fAverageY - m_fSlope * fAverageX;
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m_fCorrelationCoefficient = fQxy / sqrt( fQx * fQy );
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}
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double SAL_CALL LogarithmicRegressionCurveCalculator::getCurveValue( double x )
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{
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if( ! ( std::isnan( m_fSlope ) ||
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std::isnan( m_fIntercept )))
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{
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return m_fSlope * log( x ) + m_fIntercept;
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}
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return std::numeric_limits<double>::quiet_NaN();
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}
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uno::Sequence< geometry::RealPoint2D > SAL_CALL LogarithmicRegressionCurveCalculator::getCurveValues(
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double min, double max, ::sal_Int32 nPointCount,
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const uno::Reference< chart2::XScaling >& xScalingX,
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const uno::Reference< chart2::XScaling >& xScalingY,
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sal_Bool bMaySkipPointsInCalculation )
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{
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if( bMaySkipPointsInCalculation &&
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isLogarithmicScaling( xScalingX ) &&
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isLinearScaling( xScalingY ))
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{
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// optimize result
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uno::Sequence< geometry::RealPoint2D > aResult{ { min, getCurveValue( min ) },
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{ max, getCurveValue( max ) } };
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return aResult;
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}
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return RegressionCurveCalculator::getCurveValues( min, max, nPointCount, xScalingX, xScalingY, bMaySkipPointsInCalculation );
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}
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OUString LogarithmicRegressionCurveCalculator::ImplGetRepresentation(
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const uno::Reference< util::XNumberFormatter >& xNumFormatter,
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sal_Int32 nNumberFormatKey, sal_Int32* pFormulaMaxWidth /* = nullptr */ ) const
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{
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bool bHasSlope = !rtl::math::approxEqual( fabs( m_fSlope ), 1.0 );
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OUStringBuffer aBuf( mYName + " = " );
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sal_Int32 nLineLength = aBuf.getLength();
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sal_Int32 nValueLength=0;
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if ( pFormulaMaxWidth && *pFormulaMaxWidth > 0 ) // count nValueLength
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{
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sal_Int32 nCharMin = nLineLength + 6 + mXName.getLength(); // 6 = "ln(x)" + 2 extra characters
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if( m_fSlope < 0.0 )
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nCharMin += 2; // "- "
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if( m_fSlope != 0.0 && m_fIntercept != 0.0 )
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{
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nCharMin += 3; // " + "
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if ( bHasSlope )
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nValueLength = (*pFormulaMaxWidth - nCharMin) / 2;
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}
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if ( nValueLength == 0 ) // not yet calculated
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nValueLength = *pFormulaMaxWidth - nCharMin;
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if ( nValueLength <= 0 )
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nValueLength = 1;
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}
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// temporary buffer
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OUStringBuffer aTmpBuf("");
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// if nValueLength not calculated then nullptr
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sal_Int32* pValueLength = nValueLength ? &nValueLength : nullptr;
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if( m_fSlope != 0.0 ) // add slope value
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{
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if( m_fSlope < 0.0 )
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{
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aTmpBuf.append( OUStringChar(aMinusSign) + " " );
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}
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if( bHasSlope )
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{
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OUString aValueString = getFormattedString( xNumFormatter, nNumberFormatKey, fabs(m_fSlope), pValueLength );
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if ( aValueString != "1" ) // aValueString may be rounded to 1 if nValueLength is small
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{
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aTmpBuf.append( aValueString + " " );
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}
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}
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aTmpBuf.append( "ln(" + mXName + ") " );
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addStringToEquation( aBuf, nLineLength, aTmpBuf, pFormulaMaxWidth );
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aTmpBuf.truncate();
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if( m_fIntercept > 0.0 )
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aTmpBuf.append( "+ " );
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}
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// add intercept value
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if( m_fIntercept < 0.0 )
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aTmpBuf.append( OUStringChar(aMinusSign) + " " );
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OUString aValueString = getFormattedString( xNumFormatter, nNumberFormatKey, fabs(m_fIntercept), pValueLength );
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if ( aValueString != "0" ) // aValueString may be rounded to 0 if nValueLength is small
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{
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aTmpBuf.append( aValueString );
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addStringToEquation( aBuf, nLineLength, aTmpBuf, pFormulaMaxWidth );
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}
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if ( std::u16string_view(aBuf) == Concat2View(mYName + " = ") )
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aBuf.append( "0" );
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return aBuf.makeStringAndClear();
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}
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} // namespace chart
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/* vim:set shiftwidth=4 softtabstop=4 expandtab: */
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