commited PolynomialRegressionCurveCalculator2 by accident

Change-Id: Icd41c465a96e357dca4e50993c899f9365239d8b

1 files changed, 0 insertions, 264 deletions

diff --git a/chart2/source/tools/PolynomialRegressionCurveCalculator2.cxx b/chart2/source/tools/PolynomialRegressionCurveCalculator2.cxx
deleted file mode 100644
index 9875d19ff756..000000000000
--- a/chart2/source/tools/PolynomialRegressionCurveCalculator2.cxx
+++ /dev/null
@@ -1,264 +0,0 @@
-/* -*- 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 "PolynomialRegressionCurveCalculator.hxx"
-#include "macros.hxx"
-#include "RegressionCalculationHelper.hxx"
-
-#include <cmath>
-#include <rtl/math.hxx>
-#include <rtl/ustrbuf.hxx>
-
-using namespace com::sun::star;
-
-namespace chart
-{
-
-PolynomialRegressionCurveCalculator::PolynomialRegressionCurveCalculator()
-{}
-
-PolynomialRegressionCurveCalculator::~PolynomialRegressionCurveCalculator()
-{}
-
-// ____ XRegressionCurveCalculator ____
-void SAL_CALL PolynomialRegressionCurveCalculator::recalculateRegression(
-    const uno::Sequence< double >& aXValues,
-    const uno::Sequence< double >& aYValues )
-    throw (uno::RuntimeException)
-{
-    rtl::math::setNan(&m_fCorrelationCoeffitient);
-
-    RegressionCalculationHelper::tDoubleVectorPair aValues(
-        RegressionCalculationHelper::cleanup( aXValues, aYValues, RegressionCalculationHelper::isValid()));
-
-    const size_t aNoValues = aValues.first.size();
-
-    std::vector<sal_Int32> aDegrees;
-
-    printf("%d\n", mDegree);
-
-    for( sal_Int32 i = 0; i < mDegree+1; i++ )
-    {
-        aDegrees.push_back(i);
-    }
-
-    float_50 yAverage = 0.0;
-
-    std::vector<float_50> aTransposedMatrix;
-    aTransposedMatrix.resize(aNoValues * aDegrees.size(), 0.0);
-
-    std::vector<float_50> yVector;
-    yVector.resize(aNoValues, 0.0);
-
-    for( size_t i = 0; i < aNoValues; i++ )
-    {
-        float_50 x = aValues.first[i];
-        float_50 y = aValues.second[i];
-        yVector[i] = y;
-        yAverage += y;
-
-        for( size_t j = 0; j < aDegrees.size(); j++ )
-        {
-            aTransposedMatrix[i + j * aNoValues] = boost::multiprecision::pow((float_50)x, aDegrees[j]);
-        }
-    }
-    yAverage /= aNoValues;
-
-    sal_Int32 m = aNoValues;
-    sal_Int32 n = aDegrees.size();
-
-    sal_Int32 minorSize = std::min(m, n);
-
-    std::vector<float_50> rDiag;
-    rDiag.resize(minorSize, 0.0);
-
-    for (sal_Int32 minor = 0; minor < minorSize; minor++)
-    {
-        float_50 xNormSqr = 0.0;
-        for (sal_Int32 row = minor; row < m; row++)
-        {
-            float_50 c = aTransposedMatrix[row + minor * aNoValues];
-            xNormSqr += c * c;
-        }
-
-        float_50 a = 0.0;
-        if (aTransposedMatrix[minor + minor * aNoValues] > 0.0)
-            a = -boost::multiprecision::sqrt(xNormSqr);
-        else
-            a = boost::multiprecision::sqrt(xNormSqr);
-        rDiag[minor] = a;
-
-        if (a != 0.0)
-        {
-            aTransposedMatrix[minor + minor * aNoValues] -= a;
-
-            for (sal_Int32 col = minor + 1; col < n; col++)
-            {
-                float_50 alpha = 0;
-                for (sal_Int32 row = minor; row < m; row++)
-                {
-                    alpha -= aTransposedMatrix[row + col * aNoValues] * aTransposedMatrix[row + minor * aNoValues];
-                }
-                alpha /= a * aTransposedMatrix[minor + minor * aNoValues];
-
-                for (sal_Int32 row = minor; row < m; row++) {
-                    aTransposedMatrix[row + col * aNoValues] -= alpha * aTransposedMatrix[row + minor * aNoValues];
-                }
-            }
-        }
-    }
-
-    // apply Householder transforms to solve Q.y = b
-    for (sal_Int32 minor = 0; minor < minorSize; minor++)
-    {
-        float_50 dotProduct = 0;
-
-        for (sal_Int32 row = minor; row < m; row++)
-        {
-            dotProduct += yVector[row] * aTransposedMatrix[row + minor * aNoValues];
-        }
-        dotProduct /= rDiag[minor] * aTransposedMatrix[minor + minor * aNoValues];
-
-        for (sal_Int32 row = minor; row < m; row++)
-        {
-            yVector[row] += dotProduct * aTransposedMatrix[row + minor * aNoValues];
-        }
-
-    }
-
-    mResult.clear();
-    mResult.resize(n, (float_50) 0.0);
-
-    // solve triangular system R.x = y
-    for (sal_Int32 row = rDiag.size() - 1; row >= 0; --row)
-    {
-        yVector[row] /= rDiag[row];
-        float_50 yRow = yVector[row];
-        mResult[row] = yRow;
-
-        for (sal_Int32 i = 0; i < row; i++)
-        {
-            yVector[i] -= yRow * aTransposedMatrix[i + row * aNoValues];
-        }
-    }
-
-    // Calculate correlation coeffitient
-    float_50 aSumError = 0.0;
-    float_50 aSumTotal = 0.0;
-
-    for( size_t i = 0; i < aNoValues; ++i )
-    {
-        float_50 x = aValues.first[i];
-        float_50 yActual = aValues.second[i];
-        float_50 yPredicted = getCurveValue( (double) x );
-        aSumTotal += (yActual - yAverage) * (yActual - yAverage);
-        aSumError += (yActual - yPredicted) * (yActual - yPredicted);
-    }
-
-    float_50 aRSquared = 1.0 - (aSumError / aSumTotal);
-
-    if (aRSquared > 0.0)
-        aRSquared = boost::multiprecision::sqrt(aRSquared);
-    else
-        aRSquared = 0.0;
-    m_fCorrelationCoeffitient = (double) aRSquared;
-}
-
-double SAL_CALL PolynomialRegressionCurveCalculator::getCurveValue( double x )
-    throw (lang::IllegalArgumentException,
-           uno::RuntimeException)
-{
-    double fResult;
-    rtl::math::setNan(&fResult);
-
-    if (mResult.empty())
-    {
-        return fResult;
-    }
-
-    float_50 m = 0.0;
-    float_50 aa;
-    for (size_t i = 0; i<mResult.size(); i++)
-    {
-        aa = boost::multiprecision::pow((float_50)x, i);
-        aa = aa * mResult[i];
-        m += aa;
-    }
-    fResult = (double) m;
-    return fResult;
-}
-
-uno::Sequence< geometry::RealPoint2D > SAL_CALL PolynomialRegressionCurveCalculator::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)
-{
-
-    return RegressionCurveCalculator::getCurveValues( min, max, nPointCount, xScalingX, xScalingY, bMaySkipPointsInCalculation );
-}
-
-OUString PolynomialRegressionCurveCalculator::ImplGetRepresentation(
-    const uno::Reference< util::XNumberFormatter >& xNumFormatter,
-    sal_Int32 nNumberFormatKey ) const
-{
-    OUStringBuffer aBuf( "f(x) = ");
-
-    sal_Int32 aLastIndex = mResult.size() - 1;
-    for (sal_Int32 i = aLastIndex; i >= 0; i--)
-    {
-        double aValue = (double) mResult[i];
-        if (aValue == 0.0)
-        {
-            continue;
-        }
-        else if (aValue < 0.0)
-        {
-            aBuf.appendAscii( " - " );
-        }
-        else
-        {
-            if (i != aLastIndex)
-                aBuf.appendAscii( " + " );
-        }
-
-        aBuf.append( getFormattedString( xNumFormatter, nNumberFormatKey, std::abs( aValue ) ) );
-
-        if(i > 0)
-        {
-            if (i == 1)
-            {
-                aBuf.appendAscii( "x" );
-            }
-            else
-            {
-                aBuf.appendAscii( "x^" );
-                aBuf.append(i);
-            }
-        }
-    }
-
-    return aBuf.makeStringAndClear();
-}
-
-} //  namespace chart
-
-/* vim:set shiftwidth=4 softtabstop=4 expandtab: */