xref: /aoo41x/main/chart2/source/tools/LinearRegressionCurveCalculator.cxx (revision cde9e8dc)

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 *
 * 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
 *
 * Unless required by applicable law or agreed to in writing,
 * software distributed under the License is distributed on an
 * "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
 * KIND, either express or implied.  See the License for the
 * specific language governing permissions and limitations
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// MARKER(update_precomp.py): autogen include statement, do not remove
#include "precompiled_chart2.hxx"
#include "LinearRegressionCurveCalculator.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
{

LinearRegressionCurveCalculator::LinearRegressionCurveCalculator() :
        m_fSlope( 0.0 ),
        m_fIntercept( 0.0 )
{
    ::rtl::math::setNan( & m_fSlope );
    ::rtl::math::setNan( & m_fIntercept );
}

LinearRegressionCurveCalculator::~LinearRegressionCurveCalculator()
{}

// ____ XRegressionCurveCalculator ____
void SAL_CALL LinearRegressionCurveCalculator::recalculateRegression(
    const uno::Sequence< double >& aXValues,
    const uno::Sequence< double >& aYValues )
    throw (uno::RuntimeException)
{
    RegressionCalculationHelper::tDoubleVectorPair aValues(
        RegressionCalculationHelper::cleanup(
            aXValues, aYValues,
            RegressionCalculationHelper::isValid()));

    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;
    }

    const double fN = static_cast< double >( nMax );
    double fSumX = 0.0, fSumY = 0.0, fSumXSq = 0.0, fSumYSq = 0.0, fSumXY = 0.0;
    for( size_t i = 0; i < nMax; ++i )
    {
        fSumX   += aValues.first[i];
        fSumY   += aValues.second[i];
        fSumXSq += aValues.first[i]  * aValues.first[i];
        fSumYSq += aValues.second[i] * aValues.second[i];
        fSumXY  += aValues.first[i]  * aValues.second[i];
    }

    m_fSlope = (fN * fSumXY - fSumX * fSumY) / ( fN * fSumXSq - fSumX * fSumX );
    m_fIntercept = (fSumY - m_fSlope * fSumX) / fN;

    m_fCorrelationCoeffitient = ( fN * fSumXY - fSumX * fSumY ) /
        sqrt( ( fN * fSumXSq - fSumX * fSumX ) *
              ( fN * fSumYSq - fSumY * fSumY ) );
}

double SAL_CALL LinearRegressionCurveCalculator::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 * x + m_fIntercept;
    }

    return fResult;
}

uno::Sequence< geometry::RealPoint2D > SAL_CALL LinearRegressionCurveCalculator::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 ) &&
        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 LinearRegressionCurveCalculator::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( sal_Unicode( '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