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ExponentialBestFit:: (7 methods):
getValueOfYForX()
getValueOfXForY()
getEquation()
getSlope()
getIntersect()
exponentialRegression()
__construct()
Class: ExponentialBestFit - X-Ref
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 $dp Number of places of decimal precision to display return: string |
getSlope($dp = 0) X-Ref |
Return the Slope of the line. param: int $dp Number of places of decimal precision to display return: float |
getIntersect($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: float |
exponentialRegression(array $yValues, array $xValues, bool $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[] $xValues The set of X-values for this regression |
__construct($yValues, $xValues = [], $const = true) X-Ref |
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