PHPXRef 0.7.1 : Unnamed Project : Detail view of polynomialBestFitClass.php

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Defines 1 class

PHPExcel_Polynomial_Best_Fit:: (8 methods):
  getOrder()
  getValueOfYForX()
  getValueOfXForY()
  getEquation()
  getSlope()
  getCoefficients()
  polynomialRegression()
  __construct()

Class: PHPExcel_Polynomial_Best_Fit - X-Ref

PHPExcel_Polynomial_Best_Fit

Copyright (c) 2006 - 2015 PHPExcel

This library is free software; you can redistribute it and/or
modify it under the terms of the GNU Lesser General Public
License as published by the Free Software Foundation; either
version 2.1 of the License, or (at your option) any later version.

This library is distributed in the hope that it will be useful,
but WITHOUT ANY WARRANTY; without even the implied warranty of
MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU
Lesser General Public License for more details.

You should have received a copy of the GNU Lesser General Public
License along with this library; if not, write to the Free Software
Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA

getOrder() X-Ref

Return the order of this polynomial

return: int

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: string

getCoefficients($dp = 0) X-Ref

No description

polynomialRegression($order, $yValues, $xValues, $const) X-Ref

Execute the regression and calculate the goodness of fit for a set of X and Y data values

param: int            $order        Order of Polynomial for this regression
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($order, $yValues, $xValues = array() X-Ref

Define the regression and calculate the goodness of fit for a set of X and Y data values

param: int            $order        Order of Polynomial for this regression
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

PHP Cross Reference of Unnamed Project

/lib/phpexcel/PHPExcel/Shared/trend/ -> polynomialBestFitClass.php (summary)

Defines 1 class