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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/linearBestFitClass.php'; |
| require_once PHPEXCEL_ROOT . 'PHPExcel/Shared/trend/logarithmicBestFitClass.php'; |
| require_once PHPEXCEL_ROOT . 'PHPExcel/Shared/trend/exponentialBestFitClass.php'; |
| require_once PHPEXCEL_ROOT . 'PHPExcel/Shared/trend/powerBestFitClass.php'; |
| require_once PHPEXCEL_ROOT . 'PHPExcel/Shared/trend/polynomialBestFitClass.php'; |
| |
| |
| /** |
| * PHPExcel_trendClass |
| * |
| * @category PHPExcel |
| * @package PHPExcel_Shared_Trend |
| * @copyright Copyright (c) 2006 - 2013 PHPExcel (http://www.codeplex.com/PHPExcel) |
| */ |
| class trendClass |
| { |
| const TREND_LINEAR = 'Linear'; |
| const TREND_LOGARITHMIC = 'Logarithmic'; |
| const TREND_EXPONENTIAL = 'Exponential'; |
| const TREND_POWER = 'Power'; |
| const TREND_POLYNOMIAL_2 = 'Polynomial_2'; |
| const TREND_POLYNOMIAL_3 = 'Polynomial_3'; |
| const TREND_POLYNOMIAL_4 = 'Polynomial_4'; |
| const TREND_POLYNOMIAL_5 = 'Polynomial_5'; |
| const TREND_POLYNOMIAL_6 = 'Polynomial_6'; |
| const TREND_BEST_FIT = 'Bestfit'; |
| const TREND_BEST_FIT_NO_POLY = 'Bestfit_no_Polynomials'; |
| |
| /** |
| * Names of the best-fit trend analysis methods |
| * |
| * @var string[] |
| **/ |
| private static $_trendTypes = array( self::TREND_LINEAR, |
| self::TREND_LOGARITHMIC, |
| self::TREND_EXPONENTIAL, |
| self::TREND_POWER |
| ); |
| /** |
| * Names of the best-fit trend polynomial orders |
| * |
| * @var string[] |
| **/ |
| private static $_trendTypePolyOrders = array( self::TREND_POLYNOMIAL_2, |
| self::TREND_POLYNOMIAL_3, |
| self::TREND_POLYNOMIAL_4, |
| self::TREND_POLYNOMIAL_5, |
| self::TREND_POLYNOMIAL_6 |
| ); |
| |
| /** |
| * Cached results for each method when trying to identify which provides the best fit |
| * |
| * @var PHPExcel_Best_Fit[] |
| **/ |
| private static $_trendCache = array(); |
| |
| |
| public static function calculate($trendType=self::TREND_BEST_FIT, $yValues, $xValues=array(), $const=True) { |
| // Calculate number of points in each dataset |
| $nY = count($yValues); |
| $nX = count($xValues); |
| |
| // Define X Values if necessary |
| if ($nX == 0) { |
| $xValues = range(1,$nY); |
| $nX = $nY; |
| } elseif ($nY != $nX) { |
| // Ensure both arrays of points are the same size |
| trigger_error("trend(): Number of elements in coordinate arrays do not match.", E_USER_ERROR); |
| } |
| |
| $key = md5($trendType.$const.serialize($yValues).serialize($xValues)); |
| // Determine which trend method has been requested |
| switch ($trendType) { |
| // Instantiate and return the class for the requested trend method |
| case self::TREND_LINEAR : |
| case self::TREND_LOGARITHMIC : |
| case self::TREND_EXPONENTIAL : |
| case self::TREND_POWER : |
| if (!isset(self::$_trendCache[$key])) { |
| $className = 'PHPExcel_'.$trendType.'_Best_Fit'; |
| self::$_trendCache[$key] = new $className($yValues,$xValues,$const); |
| } |
| return self::$_trendCache[$key]; |
| break; |
| case self::TREND_POLYNOMIAL_2 : |
| case self::TREND_POLYNOMIAL_3 : |
| case self::TREND_POLYNOMIAL_4 : |
| case self::TREND_POLYNOMIAL_5 : |
| case self::TREND_POLYNOMIAL_6 : |
| if (!isset(self::$_trendCache[$key])) { |
| $order = substr($trendType,-1); |
| self::$_trendCache[$key] = new PHPExcel_Polynomial_Best_Fit($order,$yValues,$xValues,$const); |
| } |
| return self::$_trendCache[$key]; |
| break; |
| case self::TREND_BEST_FIT : |
| case self::TREND_BEST_FIT_NO_POLY : |
| // If the request is to determine the best fit regression, then we test each trend line in turn |
| // Start by generating an instance of each available trend method |
| foreach(self::$_trendTypes as $trendMethod) { |
| $className = 'PHPExcel_'.$trendMethod.'BestFit'; |
| $bestFit[$trendMethod] = new $className($yValues,$xValues,$const); |
| $bestFitValue[$trendMethod] = $bestFit[$trendMethod]->getGoodnessOfFit(); |
| } |
| if ($trendType != self::TREND_BEST_FIT_NO_POLY) { |
| foreach(self::$_trendTypePolyOrders as $trendMethod) { |
| $order = substr($trendMethod,-1); |
| $bestFit[$trendMethod] = new PHPExcel_Polynomial_Best_Fit($order,$yValues,$xValues,$const); |
| if ($bestFit[$trendMethod]->getError()) { |
| unset($bestFit[$trendMethod]); |
| } else { |
| $bestFitValue[$trendMethod] = $bestFit[$trendMethod]->getGoodnessOfFit(); |
| } |
| } |
| } |
| // Determine which of our trend lines is the best fit, and then we return the instance of that trend class |
| arsort($bestFitValue); |
| $bestFitType = key($bestFitValue); |
| return $bestFit[$bestFitType]; |
| break; |
| default : |
| return false; |
| } |
| } // function calculate() |
| |
| } // class trendClass |