 509f27e5c6
			
		
	
	
		509f27e5c6
		
	
	
	
	
		
			
			git-svn-id: https://phpexcel.svn.codeplex.com/svn/trunk@59884 2327b42d-5241-43d6-9e2a-de5ac946f064
		
			
				
	
	
		
			108 lines
		
	
	
		
			4.0 KiB
		
	
	
	
		
			PHP
		
	
	
	
	
	
			
		
		
	
	
			108 lines
		
	
	
		
			4.0 KiB
		
	
	
	
		
			PHP
		
	
	
	
	
	
| <?php
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| 
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| require_once PHPEXCEL_ROOT . 'PHPExcel/Shared/trend/linearBestFitClass.php';
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| require_once PHPEXCEL_ROOT . 'PHPExcel/Shared/trend/logarithmicBestFitClass.php';
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| require_once PHPEXCEL_ROOT . 'PHPExcel/Shared/trend/exponentialBestFitClass.php';
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| require_once PHPEXCEL_ROOT . 'PHPExcel/Shared/trend/powerBestFitClass.php';
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| require_once PHPEXCEL_ROOT . 'PHPExcel/Shared/trend/polynomialBestFitClass.php';
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| 
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| 
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| class trendClass
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| {
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| 	const TREND_LINEAR				= 'Linear';
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| 	const TREND_LOGARITHMIC			= 'Logarithmic';
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| 	const TREND_EXPONENTIAL			= 'Exponential';
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| 	const TREND_POWER				= 'Power';
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| 	const TREND_POLYNOMIAL_2		= 'Polynomial_2';
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| 	const TREND_POLYNOMIAL_3		= 'Polynomial_3';
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| 	const TREND_POLYNOMIAL_4		= 'Polynomial_4';
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| 	const TREND_POLYNOMIAL_5		= 'Polynomial_5';
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| 	const TREND_POLYNOMIAL_6		= 'Polynomial_6';
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| 	const TREND_BEST_FIT			= 'Bestfit';
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| 	const TREND_BEST_FIT_NO_POLY	= 'Bestfit_no_Polynomials';
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| 
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| 	private static $_trendTypes = array( self::TREND_LINEAR,
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| 										 self::TREND_LOGARITHMIC,
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| 										 self::TREND_EXPONENTIAL,
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| 										 self::TREND_POWER
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| 									   );
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| 	private static $_trendTypePolyOrders = array( self::TREND_POLYNOMIAL_2,
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| 												  self::TREND_POLYNOMIAL_3,
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| 												  self::TREND_POLYNOMIAL_4,
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| 												  self::TREND_POLYNOMIAL_5,
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| 												  self::TREND_POLYNOMIAL_6
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| 											    );
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| 
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| 	private static $_trendCache = array();
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| 
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| 
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| 	public static function calculate($trendType=self::TREND_BEST_FIT, $yValues, $xValues=array(), $const=True) {
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| 		//	Calculate number of points in each dataset
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| 		$nY = count($yValues);
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| 		$nX = count($xValues);
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| 
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| 		//	Define X Values if necessary
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| 		if ($nX == 0) {
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| 			$xValues = range(1,$nY);
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| 			$nX = $nY;
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| 		} elseif ($nY != $nX) {
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| 			//	Ensure both arrays of points are the same size
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| 			trigger_error("trend(): Number of elements in coordinate arrays do not match.", E_USER_ERROR);
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| 		}
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| 
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| 		$key = md5($trendType.$const.serialize($yValues).serialize($xValues));
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| 		//	Determine which trend method has been requested
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| 		switch ($trendType) {
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| 			//	Instantiate and return the class for the requested trend method
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| 			case self::TREND_LINEAR :
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| 			case self::TREND_LOGARITHMIC :
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| 			case self::TREND_EXPONENTIAL :
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| 			case self::TREND_POWER :
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| 				if (!isset(self::$_trendCache[$key])) {
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| 					$className = 'PHPExcel_'.$trendType.'_Best_Fit';
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| 					self::$_trendCache[$key] = new $className($yValues,$xValues,$const);
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| 				}
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| 				return self::$_trendCache[$key];
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| 				break;
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| 			case self::TREND_POLYNOMIAL_2	:
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| 			case self::TREND_POLYNOMIAL_3	:
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| 			case self::TREND_POLYNOMIAL_4	:
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| 			case self::TREND_POLYNOMIAL_5	:
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| 			case self::TREND_POLYNOMIAL_6	:
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| 				if (!isset(self::$_trendCache[$key])) {
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| 					$order = substr($trendType,-1);
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| 					self::$_trendCache[$key] = new PHPExcel_Polynomial_Best_Fit($order,$yValues,$xValues,$const);
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| 				}
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| 				return self::$_trendCache[$key];
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| 				break;
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| 			case self::TREND_BEST_FIT			:
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| 			case self::TREND_BEST_FIT_NO_POLY	:
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| 				//	If the request is to determine the best fit regression, then we test each trend line in turn
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| 				//	Start by generating an instance of each available trend method
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| 				foreach(self::$_trendTypes as $trendMethod) {
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| 					$className = 'PHPExcel_'.$trendMethod.'BestFit';
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| 					$bestFit[$trendMethod] = new $className($yValues,$xValues,$const);
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| 					$bestFitValue[$trendMethod] = $bestFit[$trendMethod]->getGoodnessOfFit();
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| 				}
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| 				if ($trendType != self::TREND_BEST_FIT_NO_POLY) {
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| 					foreach(self::$_trendTypePolyOrders as $trendMethod) {
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| 						$order = substr($trendMethod,-1);
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| 						$bestFit[$trendMethod] = new PHPExcel_Polynomial_Best_Fit($order,$yValues,$xValues,$const);
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| 						if ($bestFit[$trendMethod]->getError()) {
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| 							unset($bestFit[$trendMethod]);
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| 						} else {
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| 							$bestFitValue[$trendMethod] = $bestFit[$trendMethod]->getGoodnessOfFit();
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| 						}
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| 					}
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| 				}
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| 				//	Determine which of our trend lines is the best fit, and then we return the instance of that trend class
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| 				arsort($bestFitValue);
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| 				$bestFitType = key($bestFitValue);
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| 				return $bestFit[$bestFitType];
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| 				break;
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| 			default	:
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| 				return false;
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| 		}
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| 	}	//	function calculate()
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| 
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| }	//	class trendClass
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