/dports/www/moodle310/moodle/lib/phpspreadsheet/vendor/phpoffice/phpspreadsheet/src/PhpSpreadsheet/Shared/Trend/ |
H A D | PolynomialBestFit.php | 122 * @param float[] $xValues The set of X-values for this regression 124 private function polynomialRegression($order, $yValues, $xValues) argument 127 $x_sum = array_sum($xValues); 131 $xy_sum += $xValues[$i] * $yValues[$i]; 132 $xx_sum += $xValues[$i] * $xValues[$i]; 147 $A[$i][$j] = pow($xValues[$i], $j); 170 foreach ($this->xValues as $xKey => $xValue) { 180 * @param float[] $xValues The set of X-values for this regression 183 public function __construct($order, $yValues, $xValues = [], $const = true) argument 185 parent::__construct($yValues, $xValues); [all …]
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H A D | LogarithmicBestFit.php | 58 * @param float[] $xValues The set of X-values for this regression 61 private function logarithmicRegression($yValues, $xValues, $const) argument 63 foreach ($xValues as &$value) { 72 $this->leastSquareFit($yValues, $xValues, $const); 79 * @param float[] $xValues The set of X-values for this regression 82 public function __construct($yValues, $xValues = [], $const = true) argument 84 parent::__construct($yValues, $xValues); 87 $this->logarithmicRegression($yValues, $xValues, $const);
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/dports/www/moodle311/moodle/lib/phpspreadsheet/vendor/phpoffice/phpspreadsheet/src/PhpSpreadsheet/Shared/Trend/ |
H A D | PolynomialBestFit.php | 122 * @param float[] $xValues The set of X-values for this regression 124 private function polynomialRegression($order, $yValues, $xValues): void argument 127 $x_sum = array_sum($xValues); 131 $xy_sum += $xValues[$i] * $yValues[$i]; 132 $xx_sum += $xValues[$i] * $xValues[$i]; 147 $A[$i][$j] = $xValues[$i] ** $j; 170 foreach ($this->xValues as $xKey => $xValue) { 180 * @param float[] $xValues The set of X-values for this regression 183 public function __construct($order, $yValues, $xValues = [], $const = true) argument 185 parent::__construct($yValues, $xValues); [all …]
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H A D | LogarithmicBestFit.php | 58 * @param float[] $xValues The set of X-values for this regression 61 private function logarithmicRegression($yValues, $xValues, $const): void argument 63 foreach ($xValues as &$value) { 72 $this->leastSquareFit($yValues, $xValues, $const); 79 * @param float[] $xValues The set of X-values for this regression 82 public function __construct($yValues, $xValues = [], $const = true) argument 84 parent::__construct($yValues, $xValues); 87 $this->logarithmicRegression($yValues, $xValues, $const);
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/dports/www/moodle39/moodle/lib/phpspreadsheet/vendor/phpoffice/phpspreadsheet/src/PhpSpreadsheet/Shared/Trend/ |
H A D | PolynomialBestFit.php | 122 * @param float[] $xValues The set of X-values for this regression 124 private function polynomialRegression($order, $yValues, $xValues) argument 127 $x_sum = array_sum($xValues); 131 $xy_sum += $xValues[$i] * $yValues[$i]; 132 $xx_sum += $xValues[$i] * $xValues[$i]; 147 $A[$i][$j] = pow($xValues[$i], $j); 170 foreach ($this->xValues as $xKey => $xValue) { 180 * @param float[] $xValues The set of X-values for this regression 183 public function __construct($order, $yValues, $xValues = [], $const = true) argument 185 parent::__construct($yValues, $xValues); [all …]
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H A D | LogarithmicBestFit.php | 58 * @param float[] $xValues The set of X-values for this regression 61 private function logarithmicRegression($yValues, $xValues, $const) argument 63 foreach ($xValues as &$value) { 72 $this->leastSquareFit($yValues, $xValues, $const); 79 * @param float[] $xValues The set of X-values for this regression 82 public function __construct($yValues, $xValues = [], $const = true) argument 84 parent::__construct($yValues, $xValues); 87 $this->logarithmicRegression($yValues, $xValues, $const);
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/dports/finance/weberp/webERP/Classes/PHPExcel/Shared/trend/ |
H A D | logarithmicBestFitClass.php | 90 * @param float[] $xValues The set of X-values for this regression 93 private function _logarithmic_regression($yValues, $xValues, $const) { argument 94 foreach($xValues as &$value) { 103 $this->_leastSquareFit($yValues, $xValues, $const); 111 * @param float[] $xValues The set of X-values for this regression 114 function __construct($yValues, $xValues=array(), $const=True) { argument 115 if (parent::__construct($yValues, $xValues) !== False) { 116 $this->_logarithmic_regression($yValues, $xValues, $const);
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H A D | bestFitClass.php | 370 $x_sum = array_sum($xValues); 376 $xy_sum += $xValues[$i] * $yValues[$i]; 377 $xx_sum += $xValues[$i] * $xValues[$i]; 381 $mBase += ($xValues[$i] - $meanX) * ($yValues[$i] - $meanY); 382 $mDivisor += ($xValues[$i] - $meanX) * ($xValues[$i] - $meanX); 384 $mBase += $xValues[$i] * $yValues[$i]; 385 $mDivisor += $xValues[$i] * $xValues[$i]; 412 function __construct($yValues, $xValues=array(), $const=True) { argument 415 $nX = count($xValues); 419 $xValues = range(1,$nY); [all …]
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H A D | polynomialBestFitClass.php | 149 * @param float[] $xValues The set of X-values for this regression 152 private function _polynomial_regression($order, $yValues, $xValues, $const) { argument 154 $x_sum = array_sum($xValues); 158 $xy_sum += $xValues[$i] * $yValues[$i]; 159 $xx_sum += $xValues[$i] * $xValues[$i]; 172 $A[$i][$j] = pow($xValues[$i], $j); 206 * @param float[] $xValues The set of X-values for this regression 209 function __construct($order, $yValues, $xValues=array(), $const=True) { argument 210 if (parent::__construct($yValues, $xValues) !== False) { 214 $this->_polynomial_regression($order, $yValues, $xValues, $const);
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H A D | linearBestFitClass.php | 90 * @param float[] $xValues The set of X-values for this regression 93 private function _linear_regression($yValues, $xValues, $const) { argument 94 $this->_leastSquareFit($yValues, $xValues,$const); 102 * @param float[] $xValues The set of X-values for this regression 105 function __construct($yValues, $xValues=array(), $const=True) { argument 106 if (parent::__construct($yValues, $xValues) !== False) { 107 $this->_linear_regression($yValues, $xValues, $const);
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H A D | powerBestFitClass.php | 104 * @param float[] $xValues The set of X-values for this regression 107 private function _power_regression($yValues, $xValues, $const) { argument 108 foreach($xValues as &$value) { 125 $this->_leastSquareFit($yValues, $xValues, $const); 133 * @param float[] $xValues The set of X-values for this regression 136 function __construct($yValues, $xValues=array(), $const=True) { argument 137 if (parent::__construct($yValues, $xValues) !== False) { 138 $this->_power_regression($yValues, $xValues, $const);
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/dports/www/groupoffice/groupoffice-6.4.231-php-71/vendor/phpoffice/phpexcel/Classes/PHPExcel/Shared/trend/ |
H A D | logarithmicBestFitClass.php | 80 * @param float[] $xValues The set of X-values for this regression 83 private function logarithmicRegression($yValues, $xValues, $const) argument 85 foreach ($xValues as &$value) { 94 $this->leastSquareFit($yValues, $xValues, $const); 101 * @param float[] $xValues The set of X-values for this regression 104 public function __construct($yValues, $xValues = array(), $const = true) argument 106 if (parent::__construct($yValues, $xValues) !== false) { 107 $this->logarithmicRegression($yValues, $xValues, $const);
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H A D | linearBestFitClass.php | 81 * @param float[] $xValues The set of X-values for this regression 84 private function linearRegression($yValues, $xValues, $const) argument 86 $this->leastSquareFit($yValues, $xValues, $const); 93 * @param float[] $xValues The set of X-values for this regression 96 public function __construct($yValues, $xValues = array(), $const = true) argument 98 if (parent::__construct($yValues, $xValues) !== false) { 99 $this->linearRegression($yValues, $xValues, $const);
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H A D | powerBestFitClass.php | 99 * @param float[] $xValues The set of X-values for this regression 102 private function powerRegression($yValues, $xValues, $const) argument 104 foreach ($xValues as &$value) { 121 $this->leastSquareFit($yValues, $xValues, $const); 129 * @param float[] $xValues The set of X-values for this regression 132 public function __construct($yValues, $xValues = array(), $const = true) argument 134 if (parent::__construct($yValues, $xValues) !== false) { 135 $this->powerRegression($yValues, $xValues, $const);
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/dports/www/thirtybees/thirtybees-1.1.0/vendor/phpoffice/phpexcel/Classes/PHPExcel/Shared/trend/ |
H A D | logarithmicBestFitClass.php | 80 * @param float[] $xValues The set of X-values for this regression 83 private function logarithmicRegression($yValues, $xValues, $const) argument 85 foreach ($xValues as &$value) { 94 $this->leastSquareFit($yValues, $xValues, $const); 101 * @param float[] $xValues The set of X-values for this regression 104 public function __construct($yValues, $xValues = array(), $const = true) argument 106 if (parent::__construct($yValues, $xValues) !== false) { 107 $this->logarithmicRegression($yValues, $xValues, $const);
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H A D | linearBestFitClass.php | 81 * @param float[] $xValues The set of X-values for this regression 84 private function linearRegression($yValues, $xValues, $const) argument 86 $this->leastSquareFit($yValues, $xValues, $const); 93 * @param float[] $xValues The set of X-values for this regression 96 public function __construct($yValues, $xValues = array(), $const = true) argument 98 if (parent::__construct($yValues, $xValues) !== false) { 99 $this->linearRegression($yValues, $xValues, $const);
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H A D | powerBestFitClass.php | 99 * @param float[] $xValues The set of X-values for this regression 102 private function powerRegression($yValues, $xValues, $const) argument 104 foreach ($xValues as &$value) { 121 $this->leastSquareFit($yValues, $xValues, $const); 129 * @param float[] $xValues The set of X-values for this regression 132 public function __construct($yValues, $xValues = array(), $const = true) argument 134 if (parent::__construct($yValues, $xValues) !== false) { 135 $this->powerRegression($yValues, $xValues, $const);
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/dports/finance/prestashop/prestashop/vendor/phpoffice/phpspreadsheet/src/PhpSpreadsheet/Shared/Trend/ |
H A D | LogarithmicBestFit.php | 58 * @param float[] $xValues The set of X-values for this regression 61 private function logarithmicRegression($yValues, $xValues, $const) argument 63 foreach ($xValues as &$value) { 72 $this->leastSquareFit($yValues, $xValues, $const); 79 * @param float[] $xValues The set of X-values for this regression 82 public function __construct($yValues, $xValues = [], $const = true) argument 84 parent::__construct($yValues, $xValues); 87 $this->logarithmicRegression($yValues, $xValues, $const);
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H A D | PowerBestFit.php | 74 * @param float[] $xValues The set of X-values for this regression 77 private function powerRegression($yValues, $xValues, $const) argument 79 foreach ($xValues as &$value) { 96 $this->leastSquareFit($yValues, $xValues, $const); 103 * @param float[] $xValues The set of X-values for this regression 106 public function __construct($yValues, $xValues = [], $const = true) argument 108 parent::__construct($yValues, $xValues); 111 $this->powerRegression($yValues, $xValues, $const);
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/dports/www/dolibarr13/dolibarr-13.0.5/htdocs/includes/phpoffice/PhpSpreadsheet/Shared/Trend/ |
H A D | LogarithmicBestFit.php | 58 * @param float[] $xValues The set of X-values for this regression 61 private function logarithmicRegression($yValues, $xValues, $const) argument 63 foreach ($xValues as &$value) { 72 $this->leastSquareFit($yValues, $xValues, $const); 79 * @param float[] $xValues The set of X-values for this regression 82 public function __construct($yValues, $xValues = [], $const = true) argument 84 if (parent::__construct($yValues, $xValues) !== false) { 85 $this->logarithmicRegression($yValues, $xValues, $const);
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H A D | PowerBestFit.php | 74 * @param float[] $xValues The set of X-values for this regression 77 private function powerRegression($yValues, $xValues, $const) argument 79 foreach ($xValues as &$value) { 96 $this->leastSquareFit($yValues, $xValues, $const); 103 * @param float[] $xValues The set of X-values for this regression 106 public function __construct($yValues, $xValues = [], $const = true) argument 108 if (parent::__construct($yValues, $xValues) !== false) { 109 $this->powerRegression($yValues, $xValues, $const);
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/dports/www/dolibarr/dolibarr-14.0.3/htdocs/includes/phpoffice/phpspreadsheet/src/PhpSpreadsheet/Shared/Trend/ |
H A D | LogarithmicBestFit.php | 58 * @param float[] $xValues The set of X-values for this regression 61 private function logarithmicRegression($yValues, $xValues, $const) argument 63 foreach ($xValues as &$value) { 72 $this->leastSquareFit($yValues, $xValues, $const); 79 * @param float[] $xValues The set of X-values for this regression 82 public function __construct($yValues, $xValues = [], $const = true) argument 84 parent::__construct($yValues, $xValues); 87 $this->logarithmicRegression($yValues, $xValues, $const);
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H A D | PowerBestFit.php | 74 * @param float[] $xValues The set of X-values for this regression 77 private function powerRegression($yValues, $xValues, $const) argument 79 foreach ($xValues as &$value) { 96 $this->leastSquareFit($yValues, $xValues, $const); 103 * @param float[] $xValues The set of X-values for this regression 106 public function __construct($yValues, $xValues = [], $const = true) argument 108 parent::__construct($yValues, $xValues); 111 $this->powerRegression($yValues, $xValues, $const);
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/dports/www/groupoffice/groupoffice-6.4.231-php-71/vendor/phpoffice/phpspreadsheet/src/PhpSpreadsheet/Shared/Trend/ |
H A D | LogarithmicBestFit.php | 58 * @param float[] $xValues The set of X-values for this regression 61 private function logarithmicRegression($yValues, $xValues, $const): void argument 63 foreach ($xValues as &$value) { 72 $this->leastSquareFit($yValues, $xValues, $const); 79 * @param float[] $xValues The set of X-values for this regression 82 public function __construct($yValues, $xValues = [], $const = true) argument 84 parent::__construct($yValues, $xValues); 87 $this->logarithmicRegression($yValues, $xValues, $const);
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H A D | PowerBestFit.php | 74 * @param float[] $xValues The set of X-values for this regression 77 private function powerRegression($yValues, $xValues, $const): void argument 79 foreach ($xValues as &$value) { 96 $this->leastSquareFit($yValues, $xValues, $const); 103 * @param float[] $xValues The set of X-values for this regression 106 public function __construct($yValues, $xValues = [], $const = true) argument 108 parent::__construct($yValues, $xValues); 111 $this->powerRegression($yValues, $xValues, $const);
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