1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
|
/* -*- 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 <LogarithmicRegressionCurveCalculator.hxx>
#include <RegressionCalculationHelper.hxx>
#include <SpecialCharacters.hxx>
#include <rtl/math.hxx>
#include <rtl/ustrbuf.hxx>
using namespace ::com::sun::star;
namespace chart
{
LogarithmicRegressionCurveCalculator::LogarithmicRegressionCurveCalculator() :
m_fSlope( std::numeric_limits<double>::quiet_NaN() ),
m_fIntercept( std::numeric_limits<double>::quiet_NaN() )
{
}
LogarithmicRegressionCurveCalculator::~LogarithmicRegressionCurveCalculator()
{}
// ____ XRegressionCurve ____
void SAL_CALL LogarithmicRegressionCurveCalculator::recalculateRegression(
const uno::Sequence< double >& aXValues,
const uno::Sequence< double >& aYValues )
{
RegressionCalculationHelper::tDoubleVectorPair aValues(
RegressionCalculationHelper::cleanup(
aXValues, aYValues,
RegressionCalculationHelper::isValidAndXPositive()));
const size_t nMax = aValues.first.size();
if( nMax <= 1 ) // at least 2 points
{
m_fSlope = std::numeric_limits<double>::quiet_NaN();
m_fIntercept = std::numeric_limits<double>::quiet_NaN();
m_fCorrelationCoefficient = std::numeric_limits<double>::quiet_NaN();
return;
}
double fAverageX = 0.0, fAverageY = 0.0;
size_t i = 0;
for( i = 0; i < nMax; ++i )
{
fAverageX += log( aValues.first[i] );
fAverageY += aValues.second[i];
}
const double fN = static_cast< double >( nMax );
fAverageX /= fN;
fAverageY /= fN;
double fQx = 0.0, fQy = 0.0, fQxy = 0.0;
for( i = 0; i < nMax; ++i )
{
double fDeltaX = log( aValues.first[i] ) - fAverageX;
double fDeltaY = aValues.second[i] - fAverageY;
fQx += fDeltaX * fDeltaX;
fQy += fDeltaY * fDeltaY;
fQxy += fDeltaX * fDeltaY;
}
m_fSlope = fQxy / fQx;
m_fIntercept = fAverageY - m_fSlope * fAverageX;
m_fCorrelationCoefficient = fQxy / sqrt( fQx * fQy );
}
double SAL_CALL LogarithmicRegressionCurveCalculator::getCurveValue( double x )
{
if( ! ( std::isnan( m_fSlope ) ||
std::isnan( m_fIntercept )))
{
return m_fSlope * log( x ) + m_fIntercept;
}
return std::numeric_limits<double>::quiet_NaN();
}
uno::Sequence< geometry::RealPoint2D > SAL_CALL LogarithmicRegressionCurveCalculator::getCurveValues(
double min, double max, ::sal_Int32 nPointCount,
const uno::Reference< chart2::XScaling >& xScalingX,
const uno::Reference< chart2::XScaling >& xScalingY,
sal_Bool bMaySkipPointsInCalculation )
{
if( bMaySkipPointsInCalculation &&
isLogarithmicScaling( xScalingX ) &&
isLinearScaling( xScalingY ))
{
// optimize result
uno::Sequence< geometry::RealPoint2D > aResult{ { min, getCurveValue( min ) },
{ max, getCurveValue( max ) } };
return aResult;
}
return RegressionCurveCalculator::getCurveValues( min, max, nPointCount, xScalingX, xScalingY, bMaySkipPointsInCalculation );
}
OUString LogarithmicRegressionCurveCalculator::ImplGetRepresentation(
const uno::Reference< util::XNumberFormatter >& xNumFormatter,
sal_Int32 nNumberFormatKey, sal_Int32* pFormulaMaxWidth /* = nullptr */ ) const
{
bool bHasSlope = !rtl::math::approxEqual( fabs( m_fSlope ), 1.0 );
OUStringBuffer aBuf( mYName + " = " );
sal_Int32 nLineLength = aBuf.getLength();
sal_Int32 nValueLength=0;
if ( pFormulaMaxWidth && *pFormulaMaxWidth > 0 ) // count nValueLength
{
sal_Int32 nCharMin = nLineLength + 6 + mXName.getLength(); // 6 = "ln(x)" + 2 extra characters
if( m_fSlope < 0.0 )
nCharMin += 2; // "- "
if( m_fSlope != 0.0 && m_fIntercept != 0.0 )
{
nCharMin += 3; // " + "
if ( bHasSlope )
nValueLength = (*pFormulaMaxWidth - nCharMin) / 2;
}
if ( nValueLength == 0 ) // not yet calculated
nValueLength = *pFormulaMaxWidth - nCharMin;
if ( nValueLength <= 0 )
nValueLength = 1;
}
// temporary buffer
OUStringBuffer aTmpBuf("");
// if nValueLength not calculated then nullptr
sal_Int32* pValueLength = nValueLength ? &nValueLength : nullptr;
if( m_fSlope != 0.0 ) // add slope value
{
if( m_fSlope < 0.0 )
{
aTmpBuf.append( OUStringChar(aMinusSign) + " " );
}
if( bHasSlope )
{
OUString aValueString = getFormattedString( xNumFormatter, nNumberFormatKey, fabs(m_fSlope), pValueLength );
if ( aValueString != "1" ) // aValueString may be rounded to 1 if nValueLength is small
{
aTmpBuf.append( aValueString + " " );
}
}
aTmpBuf.append( "ln(" + mXName + ") " );
addStringToEquation( aBuf, nLineLength, aTmpBuf, pFormulaMaxWidth );
aTmpBuf.truncate();
if( m_fIntercept > 0.0 )
aTmpBuf.append( "+ " );
}
// add intercept value
if( m_fIntercept < 0.0 )
aTmpBuf.append( OUStringChar(aMinusSign) + " " );
OUString aValueString = getFormattedString( xNumFormatter, nNumberFormatKey, fabs(m_fIntercept), pValueLength );
if ( aValueString != "0" ) // aValueString may be rounded to 0 if nValueLength is small
{
aTmpBuf.append( aValueString );
addStringToEquation( aBuf, nLineLength, aTmpBuf, pFormulaMaxWidth );
}
if ( std::u16string_view(aBuf) == OUStringConcatenation(mYName + " = ") )
aBuf.append( "0" );
return aBuf.makeStringAndClear();
}
} // namespace chart
/* vim:set shiftwidth=4 softtabstop=4 expandtab: */
|
