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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 <MovingAverageRegressionCurveCalculator.hxx>
#include <RegressionCalculationHelper.hxx>
#include <ResId.hxx>
#include <strings.hrc>
#include <algorithm>
#include <limits>
#include <com/sun/star/chart2/MovingAverageType.hpp>
using namespace ::com::sun::star;
using namespace ::com::sun::star::chart2;
namespace chart
{
MovingAverageRegressionCurveCalculator::MovingAverageRegressionCurveCalculator()
{}
MovingAverageRegressionCurveCalculator::~MovingAverageRegressionCurveCalculator()
{}
// ____ XRegressionCurveCalculator ____
void SAL_CALL MovingAverageRegressionCurveCalculator::recalculateRegression(
const uno::Sequence< double >& aXValues,
const uno::Sequence< double >& aYValues )
{
m_fCorrelationCoefficient = std::numeric_limits<double>::quiet_NaN();
RegressionCalculationHelper::tDoubleVectorPair aValues(
RegressionCalculationHelper::cleanup(
aXValues, aYValues,
RegressionCalculationHelper::isValid()));
aYList.clear();
aXList.clear();
// For formulas, see
// https://docs.oasis-open.org/office/OpenDocument/v1.3/cs02/part3-schema/OpenDocument-v1.3-cs02-part3-schema.html#property-chart_regression-moving-type
switch (mnMovingType)
{
case MovingAverageType::Central:
{
calculateValuesCentral(std::move(aValues));
break;
}
case MovingAverageType::AveragedAbscissa:
{
calculateValues(std::move(aValues), true);
break;
}
case MovingAverageType::Prior:
default:
{
calculateValues(std::move(aValues), false);
break;
}
}
}
void MovingAverageRegressionCurveCalculator::calculateValuesCentral(
RegressionCalculationHelper::tDoubleVectorPair aValues)
{
const size_t aSize = aValues.first.size();
if (aSize == 0)
return;
for (size_t i = mPeriod - 1; i < aSize; ++i)
{
double yAvg = 0.0;
for (sal_Int32 j = 0; j < mPeriod; j++)
{
yAvg += aValues.second[i - j];
}
yAvg /= mPeriod;
aYList.push_back(yAvg);
}
sal_Int32 nPeriodLocal = (mPeriod % 2 == 0) ? (mPeriod / 2) : ((mPeriod - 1) / 2);
for (size_t i = nPeriodLocal; i < aSize - 1; ++i)
{
double x = aValues.first[i];
aXList.push_back(x);
}
}
void MovingAverageRegressionCurveCalculator::calculateValues(
RegressionCalculationHelper::tDoubleVectorPair aValues, bool bUseXAvg)
{
const size_t aSize = aValues.first.size();
for (size_t i = mPeriod - 1; i < aSize; ++i)
{
double xAvg = 0.0;
double yAvg = 0.0;
for (sal_Int32 j = 0; j < mPeriod; j++)
{
xAvg += aValues.first[i - j];
yAvg += aValues.second[i - j];
}
yAvg /= mPeriod;
xAvg /= mPeriod;
aYList.push_back(yAvg);
if (bUseXAvg)
{
aXList.push_back(xAvg);
}
else
{
double x = aValues.first[i];
aXList.push_back(x);
}
}
}
double SAL_CALL MovingAverageRegressionCurveCalculator::getCurveValue( double /*x*/ )
{
return std::numeric_limits<double>::quiet_NaN();
}
uno::Sequence< geometry::RealPoint2D > SAL_CALL MovingAverageRegressionCurveCalculator::getCurveValues(
double /*min*/, double /*max*/, sal_Int32 /*nPointCount*/,
const uno::Reference< chart2::XScaling >& /*xScalingX*/,
const uno::Reference< chart2::XScaling >& /*xScalingY*/,
sal_Bool /*bMaySkipPointsInCalculation*/ )
{
size_t nSize = std::min(aXList.size(), aYList.size());
uno::Sequence< geometry::RealPoint2D > aResult( nSize );
std::transform(aXList.begin(), aXList.begin() + nSize, aYList.begin(), aResult.getArray(),
[](const auto& x, const auto& y) { return geometry::RealPoint2D(x, y); });
return aResult;
}
OUString MovingAverageRegressionCurveCalculator::ImplGetRepresentation(
const uno::Reference< util::XNumberFormatter >& /*xNumFormatter*/,
sal_Int32 /*nNumberFormatKey*/, sal_Int32* /*pFormulaLength = nullptr */ ) const
{
return SchResId( STR_OBJECT_MOVING_AVERAGE_WITH_PARAMETERS );
}
} // namespace chart
/* vim:set shiftwidth=4 softtabstop=4 expandtab: */
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