1 /************************************************************** 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 12 * 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 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 49 PotentialRegressionCurveCalculator::~PotentialRegressionCurveCalculator() 50 {} 51 52 // ____ XRegressionCurveCalculator ____ 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 } 101 102 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 } 117 118 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 } 141 142 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