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2 *
3 * Licensed to the Apache Software Foundation (ASF) under one
4 * or more contributor license agreements. See the NOTICE file
5 * distributed with this work for additional information
6 * regarding copyright ownership. The ASF licenses this file
7 * to you under the Apache License, Version 2.0 (the
8 * "License"); you may not use this file except in compliance
9 * with the License. You may obtain a copy of the License at
10 *
11 * http://www.apache.org/licenses/LICENSE-2.0
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13 * Unless required by applicable law or agreed to in writing,
14 * software distributed under the License is distributed on an
15 * "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
16 * KIND, either express or implied. See the License for the
17 * specific language governing permissions and limitations
18 * under the License.
19 *
20 *************************************************************/
21
22
23
24 // MARKER(update_precomp.py): autogen include statement, do not remove
25 #include "precompiled_chart2.hxx"
26 #include "PotentialRegressionCurveCalculator.hxx"
27 #include "macros.hxx"
28 #include "RegressionCalculationHelper.hxx"
29
30 #include <rtl/math.hxx>
31 #include <rtl/ustrbuf.hxx>
32
33 using namespace ::com::sun::star;
34
35 using ::rtl::OUString;
36 using ::rtl::OUStringBuffer;
37
38 namespace chart
39 {
40
PotentialRegressionCurveCalculator()41 PotentialRegressionCurveCalculator::PotentialRegressionCurveCalculator() :
42 m_fSlope( 0.0 ),
43 m_fIntercept( 0.0 )
44 {
45 ::rtl::math::setNan( & m_fSlope );
46 ::rtl::math::setNan( & m_fIntercept );
47 }
48
~PotentialRegressionCurveCalculator()49 PotentialRegressionCurveCalculator::~PotentialRegressionCurveCalculator()
50 {}
51
52 // ____ XRegressionCurveCalculator ____
recalculateRegression(const uno::Sequence<double> & aXValues,const uno::Sequence<double> & aYValues)53 void SAL_CALL PotentialRegressionCurveCalculator::recalculateRegression(
54 const uno::Sequence< double >& aXValues,
55 const uno::Sequence< double >& aYValues )
56 throw (uno::RuntimeException)
57 {
58 RegressionCalculationHelper::tDoubleVectorPair aValues(
59 RegressionCalculationHelper::cleanup(
60 aXValues, aYValues,
61 RegressionCalculationHelper::isValidAndBothPositive()));
62
63 const size_t nMax = aValues.first.size();
64 if( nMax == 0 )
65 {
66 ::rtl::math::setNan( & m_fSlope );
67 ::rtl::math::setNan( & m_fIntercept );
68 ::rtl::math::setNan( & m_fCorrelationCoeffitient );
69 return;
70 }
71
72 double fAverageX = 0.0, fAverageY = 0.0;
73 size_t i = 0;
74 for( i = 0; i < nMax; ++i )
75 {
76 fAverageX += log( aValues.first[i] );
77 fAverageY += log( aValues.second[i] );
78 }
79
80 const double fN = static_cast< double >( nMax );
81 fAverageX /= fN;
82 fAverageY /= fN;
83
84 double fQx = 0.0, fQy = 0.0, fQxy = 0.0;
85 for( i = 0; i < nMax; ++i )
86 {
87 double fDeltaX = log( aValues.first[i] ) - fAverageX;
88 double fDeltaY = log( aValues.second[i] ) - fAverageY;
89
90 fQx += fDeltaX * fDeltaX;
91 fQy += fDeltaY * fDeltaY;
92 fQxy += fDeltaX * fDeltaY;
93 }
94
95 m_fSlope = fQxy / fQx;
96 m_fIntercept = fAverageY - m_fSlope * fAverageX;
97 m_fCorrelationCoeffitient = fQxy / sqrt( fQx * fQy );
98
99 m_fIntercept = exp( m_fIntercept );
100 }
101
getCurveValue(double x)102 double SAL_CALL PotentialRegressionCurveCalculator::getCurveValue( double x )
103 throw (lang::IllegalArgumentException,
104 uno::RuntimeException)
105 {
106 double fResult;
107 ::rtl::math::setNan( & fResult );
108
109 if( ! ( ::rtl::math::isNan( m_fSlope ) ||
110 ::rtl::math::isNan( m_fIntercept )))
111 {
112 fResult = m_fIntercept * pow( x, m_fSlope );
113 }
114
115 return fResult;
116 }
117
getCurveValues(double min,double max,::sal_Int32 nPointCount,const uno::Reference<chart2::XScaling> & xScalingX,const uno::Reference<chart2::XScaling> & xScalingY,::sal_Bool bMaySkipPointsInCalculation)118 uno::Sequence< geometry::RealPoint2D > SAL_CALL PotentialRegressionCurveCalculator::getCurveValues(
119 double min, double max, ::sal_Int32 nPointCount,
120 const uno::Reference< chart2::XScaling >& xScalingX,
121 const uno::Reference< chart2::XScaling >& xScalingY,
122 ::sal_Bool bMaySkipPointsInCalculation )
123 throw (lang::IllegalArgumentException,
124 uno::RuntimeException)
125 {
126 if( bMaySkipPointsInCalculation &&
127 isLogarithmicScaling( xScalingX ) &&
128 isLogarithmicScaling( xScalingY ))
129 {
130 // optimize result
131 uno::Sequence< geometry::RealPoint2D > aResult( 2 );
132 aResult[0].X = min;
133 aResult[0].Y = this->getCurveValue( min );
134 aResult[1].X = max;
135 aResult[1].Y = this->getCurveValue( max );
136
137 return aResult;
138 }
139 return RegressionCurveCalculator::getCurveValues( min, max, nPointCount, xScalingX, xScalingY, bMaySkipPointsInCalculation );
140 }
141
ImplGetRepresentation(const uno::Reference<util::XNumberFormatter> & xNumFormatter,::sal_Int32 nNumberFormatKey) const142 OUString PotentialRegressionCurveCalculator::ImplGetRepresentation(
143 const uno::Reference< util::XNumberFormatter >& xNumFormatter,
144 ::sal_Int32 nNumberFormatKey ) const
145 {
146 OUStringBuffer aBuf( C2U( "f(x) = " ));
147
148 if( m_fIntercept == 0.0 )
149 {
150 aBuf.append( sal_Unicode( '0' ));
151 }
152 else if( m_fSlope == 0.0 )
153 {
154 aBuf.append( getFormattedString( xNumFormatter, nNumberFormatKey, m_fIntercept ));
155 }
156 else
157 {
158 if( ! rtl::math::approxEqual( m_fIntercept, 1.0 ) )
159 {
160 aBuf.append( getFormattedString( xNumFormatter, nNumberFormatKey, m_fIntercept ));
161 aBuf.append( sal_Unicode( ' ' ));
162 }
163 if( m_fSlope != 0.0 )
164 {
165 aBuf.appendAscii( RTL_CONSTASCII_STRINGPARAM( "x^" ));
166 aBuf.append( getFormattedString( xNumFormatter, nNumberFormatKey, m_fSlope ));
167 }
168 }
169
170 return aBuf.makeStringAndClear();
171 }
172
173 } // namespace chart
174