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/lib/phpspreadsheet/vendor/phpoffice/phpspreadsheet/src/PhpSpreadsheet/Shared/Trend/ -> PowerBestFit.php (source)

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Differences Between: [Versions 310 and 311] [Versions 311 and 400] [Versions 311 and 401] [Versions 311 and 402] [Versions 311 and 403] [Versions 39 and 311]

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File Size: 114 lines (3 kb)
Included or required:0 times
Referenced: 0 times
Includes or requires: 0 files

Defines 1 class

PowerBestFit:: (6 methods):
  getValueOfYForX()
  getValueOfXForY()
  getEquation()
  getIntersect()
  powerRegression()
  __construct()


Class: PowerBestFit  - 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

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

powerRegression($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: bool $const

__construct($yValues, $xValues = [], $const = true)   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: bool $const