173 lines
5.4 KiB
C++
173 lines
5.4 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 <MovingAverageRegressionCurveCalculator.hxx>
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#include <RegressionCalculationHelper.hxx>
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#include <ResId.hxx>
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#include <strings.hrc>
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#include <algorithm>
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#include <limits>
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#include <com/sun/star/chart2/MovingAverageType.hpp>
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using namespace ::com::sun::star;
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using namespace ::com::sun::star::chart2;
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namespace chart
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{
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MovingAverageRegressionCurveCalculator::MovingAverageRegressionCurveCalculator()
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{}
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MovingAverageRegressionCurveCalculator::~MovingAverageRegressionCurveCalculator()
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{}
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// ____ XRegressionCurveCalculator ____
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void SAL_CALL MovingAverageRegressionCurveCalculator::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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m_fCorrelationCoefficient = std::numeric_limits<double>::quiet_NaN();
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RegressionCalculationHelper::tDoubleVectorPair aValues(
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RegressionCalculationHelper::cleanup(
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aXValues, aYValues,
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RegressionCalculationHelper::isValid()));
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aYList.clear();
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aXList.clear();
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// For formulas, see
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// https://docs.oasis-open.org/office/OpenDocument/v1.3/cs02/part3-schema/OpenDocument-v1.3-cs02-part3-schema.html#property-chart_regression-moving-type
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switch (mnMovingType)
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{
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case MovingAverageType::Central:
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{
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calculateValuesCentral(std::move(aValues));
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break;
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}
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case MovingAverageType::AveragedAbscissa:
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{
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calculateValues(std::move(aValues), true);
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break;
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}
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case MovingAverageType::Prior:
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default:
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{
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calculateValues(std::move(aValues), false);
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break;
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}
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}
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}
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void MovingAverageRegressionCurveCalculator::calculateValuesCentral(
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const RegressionCalculationHelper::tDoubleVectorPair& aValues)
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{
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const size_t aSize = aValues.first.size();
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if (aSize == 0)
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return;
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for (size_t i = mPeriod - 1; i < aSize; ++i)
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{
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double yAvg = 0.0;
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for (sal_Int32 j = 0; j < mPeriod; j++)
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{
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yAvg += aValues.second[i - j];
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}
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yAvg /= mPeriod;
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aYList.push_back(yAvg);
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}
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sal_Int32 nPeriodLocal = (mPeriod % 2 == 0) ? (mPeriod / 2) : ((mPeriod - 1) / 2);
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for (size_t i = nPeriodLocal; i < aSize - 1; ++i)
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{
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double x = aValues.first[i];
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aXList.push_back(x);
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}
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}
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void MovingAverageRegressionCurveCalculator::calculateValues(
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const RegressionCalculationHelper::tDoubleVectorPair& aValues, bool bUseXAvg)
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{
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const size_t aSize = aValues.first.size();
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for (size_t i = mPeriod - 1; i < aSize; ++i)
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{
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double xAvg = 0.0;
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double yAvg = 0.0;
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for (sal_Int32 j = 0; j < mPeriod; j++)
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{
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xAvg += aValues.first[i - j];
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yAvg += aValues.second[i - j];
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}
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yAvg /= mPeriod;
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xAvg /= mPeriod;
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aYList.push_back(yAvg);
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if (bUseXAvg)
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{
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aXList.push_back(xAvg);
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}
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else
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{
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double x = aValues.first[i];
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aXList.push_back(x);
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}
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}
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}
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double SAL_CALL MovingAverageRegressionCurveCalculator::getCurveValue( double /*x*/ )
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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 MovingAverageRegressionCurveCalculator::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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size_t nSize = std::min(aXList.size(), aYList.size());
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uno::Sequence< geometry::RealPoint2D > aResult( nSize );
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std::transform(aXList.begin(), aXList.begin() + nSize, aYList.begin(), aResult.getArray(),
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[](const auto& x, const auto& y) { return geometry::RealPoint2D(x, y); });
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return aResult;
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}
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OUString MovingAverageRegressionCurveCalculator::ImplGetRepresentation(
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const uno::Reference< util::XNumberFormatter >& /*xNumFormatter*/,
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sal_Int32 /*nNumberFormatKey*/, sal_Int32* /*pFormulaLength = nullptr */ ) const
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{
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OUString aRet = SchResId( STR_OBJECT_MOVING_AVERAGE_WITH_PARAMETERS );
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// change text for Moving Average
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OUString aWildcard( u"%PERIOD"_ustr );
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sal_Int32 nIndex = aRet.indexOf( aWildcard );
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if( nIndex != -1 )
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{ // replace period
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aRet = aRet.replaceAt( nIndex, aWildcard.getLength(), OUString::number(mPeriod) );
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}
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return aRet;
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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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