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