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110 lines
3.6 KiB
110 lines
3.6 KiB
<?php |
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require_once(PHPEXCEL_ROOT . 'PHPExcel/Shared/trend/bestFitClass.php'); |
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/** |
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* PHPExcel_Logarithmic_Best_Fit |
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* |
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* Copyright (c) 2006 - 2015 PHPExcel |
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* |
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* This library is free software; you can redistribute it and/or |
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* modify it under the terms of the GNU Lesser General Public |
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* License as published by the Free Software Foundation; either |
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* version 2.1 of the License, or (at your option) any later version. |
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* |
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* This library is distributed in the hope that it will be useful, |
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* but WITHOUT ANY WARRANTY; without even the implied warranty of |
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* MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU |
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* Lesser General Public License for more details. |
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* |
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* You should have received a copy of the GNU Lesser General Public |
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* License along with this library; if not, write to the Free Software |
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* Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA |
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* |
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* @category PHPExcel |
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* @package PHPExcel_Shared_Trend |
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* @copyright Copyright (c) 2006 - 2015 PHPExcel (http://www.codeplex.com/PHPExcel) |
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* @license http://www.gnu.org/licenses/old-licenses/lgpl-2.1.txt LGPL |
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* @version ##VERSION##, ##DATE## |
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*/ |
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class PHPExcel_Logarithmic_Best_Fit extends PHPExcel_Best_Fit |
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{ |
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/** |
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* Algorithm type to use for best-fit |
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* (Name of this trend class) |
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* |
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* @var string |
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**/ |
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protected $bestFitType = 'logarithmic'; |
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/** |
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* Return the Y-Value for a specified value of X |
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* |
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* @param float $xValue X-Value |
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* @return float Y-Value |
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**/ |
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public function getValueOfYForX($xValue) |
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{ |
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return $this->getIntersect() + $this->getSlope() * log($xValue - $this->xOffset); |
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} |
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/** |
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* Return the X-Value for a specified value of Y |
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* |
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* @param float $yValue Y-Value |
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* @return float X-Value |
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**/ |
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public function getValueOfXForY($yValue) |
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{ |
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return exp(($yValue - $this->getIntersect()) / $this->getSlope()); |
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} |
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/** |
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* Return the Equation of the best-fit line |
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* |
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* @param int $dp Number of places of decimal precision to display |
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* @return string |
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**/ |
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public function getEquation($dp = 0) |
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{ |
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$slope = $this->getSlope($dp); |
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$intersect = $this->getIntersect($dp); |
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return 'Y = '.$intersect.' + '.$slope.' * log(X)'; |
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} |
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/** |
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* Execute the regression and calculate the goodness of fit for a set of X and Y data values |
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* |
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* @param float[] $yValues The set of Y-values for this regression |
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* @param float[] $xValues The set of X-values for this regression |
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* @param boolean $const |
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*/ |
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private function logarithmicRegression($yValues, $xValues, $const) |
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{ |
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foreach ($xValues as &$value) { |
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if ($value < 0.0) { |
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$value = 0 - log(abs($value)); |
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} elseif ($value > 0.0) { |
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$value = log($value); |
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} |
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} |
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unset($value); |
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$this->leastSquareFit($yValues, $xValues, $const); |
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} |
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/** |
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* Define the regression and calculate the goodness of fit for a set of X and Y data values |
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* |
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* @param float[] $yValues The set of Y-values for this regression |
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* @param float[] $xValues The set of X-values for this regression |
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* @param boolean $const |
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*/ |
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public function __construct($yValues, $xValues = array(), $const = true) |
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{ |
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if (parent::__construct($yValues, $xValues) !== false) { |
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$this->logarithmicRegression($yValues, $xValues, $const); |
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} |
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} |
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}
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