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| <?php |
| /** |
| * PHPExcel |
| * |
| * Copyright (c) 2006 - 2013 PHPExcel |
| * |
| * This library is free software; you can redistribute it and/or |
| * modify it under the terms of the GNU Lesser General Public |
| * License as published by the Free Software Foundation; either |
| * version 2.1 of the License, or (at your option) any later version. |
| * |
| * This library is distributed in the hope that it will be useful, |
| * but WITHOUT ANY WARRANTY; without even the implied warranty of |
| * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU |
| * Lesser General Public License for more details. |
| * |
| * You should have received a copy of the GNU Lesser General Public |
| * License along with this library; if not, write to the Free Software |
| * Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA |
| * |
| * @category PHPExcel |
| * @package PHPExcel_Shared_Trend |
| * @copyright Copyright (c) 2006 - 2013 PHPExcel (http://www.codeplex.com/PHPExcel) |
| * @license http://www.gnu.org/licenses/old-licenses/lgpl-2.1.txt LGPL |
| * @version ##VERSION##, ##DATE## |
| */ |
| |
| |
| require_once(PHPEXCEL_ROOT . 'PHPExcel/Shared/trend/bestFitClass.php'); |
| |
| |
| /** |
| * PHPExcel_Linear_Best_Fit |
| * |
| * @category PHPExcel |
| * @package PHPExcel_Shared_Trend |
| * @copyright Copyright (c) 2006 - 2013 PHPExcel (http://www.codeplex.com/PHPExcel) |
| */ |
| class PHPExcel_Linear_Best_Fit extends PHPExcel_Best_Fit |
| { |
| /** |
| * Algorithm type to use for best-fit |
| * (Name of this trend class) |
| * |
| * @var string |
| **/ |
| protected $_bestFitType = 'linear'; |
| |
| |
| /** |
| * Return the Y-Value for a specified value of X |
| * |
| * @param float $xValue X-Value |
| * @return float Y-Value |
| **/ |
| public function getValueOfYForX($xValue) { |
| return $this->getIntersect() + $this->getSlope() * $xValue; |
| } // function getValueOfYForX() |
| |
| |
| /** |
| * Return the X-Value for a specified value of Y |
| * |
| * @param float $yValue Y-Value |
| * @return float X-Value |
| **/ |
| public function getValueOfXForY($yValue) { |
| return ($yValue - $this->getIntersect()) / $this->getSlope(); |
| } // function getValueOfXForY() |
| |
| |
| /** |
| * Return the Equation of the best-fit line |
| * |
| * @param int $dp Number of places of decimal precision to display |
| * @return string |
| **/ |
| public function getEquation($dp=0) { |
| $slope = $this->getSlope($dp); |
| $intersect = $this->getIntersect($dp); |
| |
| return 'Y = '.$intersect.' + '.$slope.' * X'; |
| } // function getEquation() |
| |
| |
| /** |
| * Execute the regression and calculate the goodness of fit for a set of X and Y data values |
| * |
| * @param float[] $yValues The set of Y-values for this regression |
| * @param float[] $xValues The set of X-values for this regression |
| * @param boolean $const |
| */ |
| private function _linear_regression($yValues, $xValues, $const) { |
| $this->_leastSquareFit($yValues, $xValues,$const); |
| } // function _linear_regression() |
| |
| |
| /** |
| * Define the regression and calculate the goodness of fit for a set of X and Y data values |
| * |
| * @param float[] $yValues The set of Y-values for this regression |
| * @param float[] $xValues The set of X-values for this regression |
| * @param boolean $const |
| */ |
| function __construct($yValues, $xValues=array(), $const=True) { |
| if (parent::__construct($yValues, $xValues) !== False) { |
| $this->_linear_regression($yValues, $xValues, $const); |
| } |
| } // function __construct() |
| |
| } // class linearBestFit |