bump product version to 4.1.6.2
[LibreOffice.git] / chart2 / source / tools / LogarithmicRegressionCurveCalculator.cxx
blobaf56a64e19c664b02a50096e787102930c0ea5ee
1 /* -*- Mode: C++; tab-width: 4; indent-tabs-mode: nil; c-basic-offset: 4 -*- */
2 /*
3 * This file is part of the LibreOffice project.
5 * This Source Code Form is subject to the terms of the Mozilla Public
6 * License, v. 2.0. If a copy of the MPL was not distributed with this
7 * file, You can obtain one at http://mozilla.org/MPL/2.0/.
9 * This file incorporates work covered by the following license notice:
11 * Licensed to the Apache Software Foundation (ASF) under one or more
12 * contributor license agreements. See the NOTICE file distributed
13 * with this work for additional information regarding copyright
14 * ownership. The ASF licenses this file to you under the Apache
15 * License, Version 2.0 (the "License"); you may not use this file
16 * except in compliance with the License. You may obtain a copy of
17 * the License at http://www.apache.org/licenses/LICENSE-2.0 .
20 #include "LogarithmicRegressionCurveCalculator.hxx"
21 #include "macros.hxx"
22 #include "RegressionCalculationHelper.hxx"
24 #include <rtl/math.hxx>
25 #include <rtl/ustrbuf.hxx>
27 using namespace ::com::sun::star;
30 namespace chart
33 LogarithmicRegressionCurveCalculator::LogarithmicRegressionCurveCalculator() :
34 m_fSlope( 0.0 ),
35 m_fIntercept( 0.0 )
37 ::rtl::math::setNan( & m_fSlope );
38 ::rtl::math::setNan( & m_fIntercept );
41 LogarithmicRegressionCurveCalculator::~LogarithmicRegressionCurveCalculator()
44 // ____ XRegressionCurve ____
45 void SAL_CALL LogarithmicRegressionCurveCalculator::recalculateRegression(
46 const uno::Sequence< double >& aXValues,
47 const uno::Sequence< double >& aYValues )
48 throw (uno::RuntimeException)
50 RegressionCalculationHelper::tDoubleVectorPair aValues(
51 RegressionCalculationHelper::cleanup(
52 aXValues, aYValues,
53 RegressionCalculationHelper::isValidAndXPositive()));
55 const size_t nMax = aValues.first.size();
56 if( nMax == 0 )
58 ::rtl::math::setNan( & m_fSlope );
59 ::rtl::math::setNan( & m_fIntercept );
60 ::rtl::math::setNan( & m_fCorrelationCoeffitient );
61 return;
64 double fAverageX = 0.0, fAverageY = 0.0;
65 size_t i = 0;
66 for( i = 0; i < nMax; ++i )
68 fAverageX += log( aValues.first[i] );
69 fAverageY += aValues.second[i];
72 const double fN = static_cast< double >( nMax );
73 fAverageX /= fN;
74 fAverageY /= fN;
76 double fQx = 0.0, fQy = 0.0, fQxy = 0.0;
77 for( i = 0; i < nMax; ++i )
79 double fDeltaX = log( aValues.first[i] ) - fAverageX;
80 double fDeltaY = aValues.second[i] - fAverageY;
82 fQx += fDeltaX * fDeltaX;
83 fQy += fDeltaY * fDeltaY;
84 fQxy += fDeltaX * fDeltaY;
87 m_fSlope = fQxy / fQx;
88 m_fIntercept = fAverageY - m_fSlope * fAverageX;
89 m_fCorrelationCoeffitient = fQxy / sqrt( fQx * fQy );
92 double SAL_CALL LogarithmicRegressionCurveCalculator::getCurveValue( double x )
93 throw (lang::IllegalArgumentException,
94 uno::RuntimeException)
96 double fResult;
97 ::rtl::math::setNan( & fResult );
99 if( ! ( ::rtl::math::isNan( m_fSlope ) ||
100 ::rtl::math::isNan( m_fIntercept )))
102 fResult = m_fSlope * log( x ) + m_fIntercept;
105 return fResult;
108 uno::Sequence< geometry::RealPoint2D > SAL_CALL LogarithmicRegressionCurveCalculator::getCurveValues(
109 double min, double max, ::sal_Int32 nPointCount,
110 const uno::Reference< chart2::XScaling >& xScalingX,
111 const uno::Reference< chart2::XScaling >& xScalingY,
112 ::sal_Bool bMaySkipPointsInCalculation )
113 throw (lang::IllegalArgumentException,
114 uno::RuntimeException)
116 if( bMaySkipPointsInCalculation &&
117 isLogarithmicScaling( xScalingX ) &&
118 isLinearScaling( xScalingY ))
120 // optimize result
121 uno::Sequence< geometry::RealPoint2D > aResult( 2 );
122 aResult[0].X = min;
123 aResult[0].Y = this->getCurveValue( min );
124 aResult[1].X = max;
125 aResult[1].Y = this->getCurveValue( max );
127 return aResult;
129 return RegressionCurveCalculator::getCurveValues( min, max, nPointCount, xScalingX, xScalingY, bMaySkipPointsInCalculation );
132 OUString LogarithmicRegressionCurveCalculator::ImplGetRepresentation(
133 const uno::Reference< util::XNumberFormatter >& xNumFormatter,
134 ::sal_Int32 nNumberFormatKey ) const
136 OUStringBuffer aBuf( "f(x) = ");
138 bool bHaveSlope = false;
140 if( m_fSlope != 0.0 )
142 if( ::rtl::math::approxEqual( fabs( m_fSlope ), 1.0 ))
144 if( m_fSlope < 0 )
145 aBuf.append( UC_MINUS_SIGN );
147 else
149 aBuf.append( getFormattedString( xNumFormatter, nNumberFormatKey, m_fSlope ));
150 aBuf.append( UC_SPACE );
152 aBuf.appendAscii( RTL_CONSTASCII_STRINGPARAM( "ln(x)" ));
153 bHaveSlope = true;
156 if( bHaveSlope )
158 if( m_fIntercept < 0.0 )
160 aBuf.append( UC_SPACE );
161 aBuf.append( UC_MINUS_SIGN );
162 aBuf.append( UC_SPACE );
163 aBuf.append( getFormattedString( xNumFormatter, nNumberFormatKey, fabs( m_fIntercept )));
165 else if( m_fIntercept > 0.0 )
167 aBuf.appendAscii( RTL_CONSTASCII_STRINGPARAM( " + " ));
168 aBuf.append( getFormattedString( xNumFormatter, nNumberFormatKey, m_fIntercept ));
171 else
173 aBuf.append( getFormattedString( xNumFormatter, nNumberFormatKey, m_fIntercept ));
176 return aBuf.makeStringAndClear();
179 } // namespace chart
181 /* vim:set shiftwidth=4 softtabstop=4 expandtab: */