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		| @ -1,108 +0,0 @@ | ||||
| <?php | ||||
|  | ||||
| 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'; | ||||
|  | ||||
|  | ||||
| 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'; | ||||
|  | ||||
| 	private static $_trendTypes = array( self::TREND_LINEAR, | ||||
| 										 self::TREND_LOGARITHMIC, | ||||
| 										 self::TREND_EXPONENTIAL, | ||||
| 										 self::TREND_POWER | ||||
| 									   ); | ||||
| 	private static $_trendTypePolyOrders = array( self::TREND_POLYNOMIAL_2, | ||||
| 												  self::TREND_POLYNOMIAL_3, | ||||
| 												  self::TREND_POLYNOMIAL_4, | ||||
| 												  self::TREND_POLYNOMIAL_5, | ||||
| 												  self::TREND_POLYNOMIAL_6 | ||||
| 											    ); | ||||
|  | ||||
| 	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 | ||||
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