1 /*************************************************************************
3 * DO NOT ALTER OR REMOVE COPYRIGHT NOTICES OR THIS FILE HEADER.
5 * Copyright 2000, 2010 Oracle and/or its affiliates.
7 * OpenOffice.org - a multi-platform office productivity suite
9 * This file is part of OpenOffice.org.
11 * OpenOffice.org is free software: you can redistribute it and/or modify
12 * it under the terms of the GNU Lesser General Public License version 3
13 * only, as published by the Free Software Foundation.
15 * OpenOffice.org is distributed in the hope that it will be useful,
16 * but WITHOUT ANY WARRANTY; without even the implied warranty of
17 * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
18 * GNU Lesser General Public License version 3 for more details
19 * (a copy is included in the LICENSE file that accompanied this code).
21 * You should have received a copy of the GNU Lesser General Public License
22 * version 3 along with OpenOffice.org. If not, see
23 * <http://www.openoffice.org/license.html>
24 * for a copy of the LGPLv3 License.
26 ************************************************************************/
28 // MARKER(update_precomp.py): autogen include statement, do not remove
29 #include "precompiled_chart2.hxx"
30 #include "ExponentialRegressionCurveCalculator.hxx"
32 #include "RegressionCalculationHelper.hxx"
34 #include <rtl/math.hxx>
35 #include <rtl/ustrbuf.hxx>
37 using namespace ::com::sun::star
;
39 using ::rtl::OUString
;
40 using ::rtl::OUStringBuffer
;
45 ExponentialRegressionCurveCalculator::ExponentialRegressionCurveCalculator() :
49 ::rtl::math::setNan( & m_fSlope
);
50 ::rtl::math::setNan( & m_fIntercept
);
53 ExponentialRegressionCurveCalculator::~ExponentialRegressionCurveCalculator()
56 // ____ XRegressionCurveCalculator ____
57 void SAL_CALL
ExponentialRegressionCurveCalculator::recalculateRegression(
58 const uno::Sequence
< double >& aXValues
,
59 const uno::Sequence
< double >& aYValues
)
60 throw (uno::RuntimeException
)
62 RegressionCalculationHelper::tDoubleVectorPair
aValues(
63 RegressionCalculationHelper::cleanup(
65 RegressionCalculationHelper::isValidAndYPositive()));
67 const size_t nMax
= aValues
.first
.size();
70 ::rtl::math::setNan( & m_fSlope
);
71 ::rtl::math::setNan( & m_fIntercept
);
72 ::rtl::math::setNan( & m_fCorrelationCoeffitient
);
76 double fAverageX
= 0.0, fAverageY
= 0.0;
78 for( i
= 0; i
< nMax
; ++i
)
80 fAverageX
+= aValues
.first
[i
];
81 fAverageY
+= log( aValues
.second
[i
] );
84 const double fN
= static_cast< double >( nMax
);
88 double fQx
= 0.0, fQy
= 0.0, fQxy
= 0.0;
89 for( i
= 0; i
< nMax
; ++i
)
91 double fDeltaX
= aValues
.first
[i
] - fAverageX
;
92 double fDeltaY
= log( aValues
.second
[i
] ) - fAverageY
;
94 fQx
+= fDeltaX
* fDeltaX
;
95 fQy
+= fDeltaY
* fDeltaY
;
96 fQxy
+= fDeltaX
* fDeltaY
;
99 m_fSlope
= fQxy
/ fQx
;
100 m_fIntercept
= fAverageY
- m_fSlope
* fAverageX
;
101 m_fCorrelationCoeffitient
= fQxy
/ sqrt( fQx
* fQy
);
103 m_fSlope
= exp( m_fSlope
);
104 m_fIntercept
= exp( m_fIntercept
);
107 double SAL_CALL
ExponentialRegressionCurveCalculator::getCurveValue( double x
)
108 throw (lang::IllegalArgumentException
,
109 uno::RuntimeException
)
112 ::rtl::math::setNan( & fResult
);
114 if( ! ( ::rtl::math::isNan( m_fSlope
) ||
115 ::rtl::math::isNan( m_fIntercept
)))
117 fResult
= m_fIntercept
* pow( m_fSlope
, x
);
123 uno::Sequence
< geometry::RealPoint2D
> SAL_CALL
ExponentialRegressionCurveCalculator::getCurveValues(
124 double min
, double max
, ::sal_Int32 nPointCount
,
125 const uno::Reference
< chart2::XScaling
>& xScalingX
,
126 const uno::Reference
< chart2::XScaling
>& xScalingY
,
127 ::sal_Bool bMaySkipPointsInCalculation
)
128 throw (lang::IllegalArgumentException
,
129 uno::RuntimeException
)
131 if( bMaySkipPointsInCalculation
&&
132 isLinearScaling( xScalingX
) &&
133 isLogarithmicScaling( xScalingY
))
136 uno::Sequence
< geometry::RealPoint2D
> aResult( 2 );
138 aResult
[0].Y
= this->getCurveValue( min
);
140 aResult
[1].Y
= this->getCurveValue( max
);
145 return RegressionCurveCalculator::getCurveValues( min
, max
, nPointCount
, xScalingX
, xScalingY
, bMaySkipPointsInCalculation
);
149 OUString
ExponentialRegressionCurveCalculator::ImplGetRepresentation(
150 const uno::Reference
< util::XNumberFormatter
>& xNumFormatter
,
151 ::sal_Int32 nNumberFormatKey
) const
153 OUStringBuffer
aBuf( C2U( "f(x) = " ));
155 if( m_fIntercept
== 0.0 ||
158 aBuf
.append( sal_Unicode( '0' ));
160 else if( rtl::math::approxEqual( m_fSlope
, 1.0 ) )
162 aBuf
.append( getFormattedString( xNumFormatter
, nNumberFormatKey
, m_fIntercept
));
166 if( ! rtl::math::approxEqual( m_fIntercept
, 1.0 ) )
168 aBuf
.append( getFormattedString( xNumFormatter
, nNumberFormatKey
, m_fIntercept
));
169 aBuf
.append( sal_Unicode( 0x00b7 ));
173 aBuf
.append( sal_Unicode( '(' ));
174 aBuf
.append( getFormattedString( xNumFormatter
, nNumberFormatKey
, m_fSlope
));
176 aBuf
.append( sal_Unicode( ')' ));
177 aBuf
.appendAscii( RTL_CONSTASCII_STRINGPARAM( "^x" ));
180 return aBuf
.makeStringAndClear();