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PHPExcel Copyright (c) 2006 - 2014 PHPExcel
| Copyright: | Copyright (c) 2006 - 2014 PHPExcel (http://www.codeplex.com/PHPExcel) |
| License: | http://www.gnu.org/licenses/old-licenses/lgpl-2.1.txt LGPL |
| Version: | ##VERSION##, ##DATE## |
| File Size: | 142 lines (4 kb) |
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PHPExcel_Power_Best_Fit:: (6 methods):
getValueOfYForX()
getValueOfXForY()
getEquation()
getIntersect()
_power_regression()
__construct()
Class: PHPExcel_Power_Best_Fit - X-Ref
PHPExcel_Power_Best_Fit| getValueOfYForX($xValue) X-Ref |
| Return the Y-Value for a specified value of X param: float $xValue X-Value return: float Y-Value |
| getValueOfXForY($yValue) X-Ref |
| Return the X-Value for a specified value of Y param: float $yValue Y-Value return: float X-Value |
| getEquation($dp=0) X-Ref |
| Return the Equation of the best-fit line param: int $dp Number of places of decimal precision to display return: string |
| getIntersect($dp=0) X-Ref |
| Return the Value of X where it intersects Y = 0 param: int $dp Number of places of decimal precision to display return: string |
| _power_regression($yValues, $xValues, $const) X-Ref |
| 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 $const |
| __construct($yValues, $xValues=array() X-Ref |
| 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 |
| Generated: Fri Nov 28 20:29:05 2014 | Cross-referenced by PHPXref 0.7.1 |