Class PHPExcel_Best_Fit

PHPExcel_Best_Fit

Direct known subclasses

PHPExcel_Exponential_Best_Fit, PHPExcel_Linear_Best_Fit, PHPExcel_Logarithmic_Best_Fit, PHPExcel_Polynomial_Best_Fit, PHPExcel_Power_Best_Fit

Package: PHPExcel\Shared\Trend
Category: PHPExcel
Copyright: Copyright (c) 2006 - 2014 PHPExcel (http://www.codeplex.com/PHPExcel)
License: LGPL
Located at controlador/include/phpexcel/PHPExcel/Shared/trend/bestFitClass.php

Methods summary
`public`	# `getError( )`
`public`	# `getBestFitType( )`
`public float`	# `getValueOfYForX( float $xValue )` Return the Y-Value for a specified value of X Return the Y-Value for a specified value of X Parameters `$xValue` X-Value Returns float Y-Value
`public float`	# `getValueOfXForY( float $yValue )` Return the X-Value for a specified value of Y Return the X-Value for a specified value of Y Parameters `$yValue` Y-Value Returns float X-Value
`public float[]`	# `getXValues( )` Return the original set of X-Values Return the original set of X-Values Returns float[] X-Values
`public string`	# `getEquation( integer $dp = 0 )` Return the Equation of the best-fit line Return the Equation of the best-fit line Parameters `$dp` Number of places of decimal precision to display Returns string
`public string`	# `getSlope( integer $dp = 0 )` Return the Slope of the line Return the Slope of the line Parameters `$dp` Number of places of decimal precision to display Returns string
`public string`	# `getSlopeSE( integer $dp = 0 )` Return the standard error of the Slope Return the standard error of the Slope Parameters `$dp` Number of places of decimal precision to display Returns string
`public string`	# `getIntersect( integer $dp = 0 )` Return the Value of X where it intersects Y = 0 Return the Value of X where it intersects Y = 0 Parameters `$dp` Number of places of decimal precision to display Returns string
`public string`	# `getIntersectSE( integer $dp = 0 )` Return the standard error of the Intersect Return the standard error of the Intersect Parameters `$dp` Number of places of decimal precision to display Returns string
`public float`	# `getGoodnessOfFit( integer $dp = 0 )` Return the goodness of fit for this regression Return the goodness of fit for this regression Parameters `$dp` Number of places of decimal precision to return Returns float
`public`	# `getGoodnessOfFitPercent( $dp = 0 )`
`public float`	# `getStdevOfResiduals( integer $dp = 0 )` Return the standard deviation of the residuals for this regression Return the standard deviation of the residuals for this regression Parameters `$dp` Number of places of decimal precision to return Returns float
`public`	# `getSSRegression( $dp = 0 )`
`public`	# `getSSResiduals( $dp = 0 )`
`public`	# `getDFResiduals( $dp = 0 )`
`public`	# `getF( $dp = 0 )`
`public`	# `getCovariance( $dp = 0 )`
`public`	# `getCorrelation( $dp = 0 )`
`public`	# `getYBestFitValues( )`
`protected`	# `_calculateGoodnessOfFit( $sumX, $sumY, $sumX2, $sumY2, $sumXY, $meanX, $meanY, $const )`
`protected`	# `_leastSquareFit( $yValues, $xValues, $const )`
`public`	# `__construct( float[] $yValues, float[] $xValues = array(), boolean $const = True )` Define the regression Define the regression Parameters `$yValues` The set of Y-values for this regression `$xValues` The set of X-values for this regression `$const`

Properties summary
`protected boolean`	`$_error` Indicator flag for a calculation error Indicator flag for a calculation error	# `False`
`protected string`	`$_bestFitType` Algorithm type to use for best-fit Algorithm type to use for best-fit	# `'undetermined'`
`protected integer`	`$_valueCount` Number of entries in the sets of x- and y-value arrays Number of entries in the sets of x- and y-value arrays	# `0`
`protected float[]`	`$_xValues` X-value dataseries of values X-value dataseries of values	# `array()`
`protected float[]`	`$_yValues` Y-value dataseries of values Y-value dataseries of values	# `array()`
`protected boolean`	`$_adjustToZero` Flag indicating whether values should be adjusted to Y=0 Flag indicating whether values should be adjusted to Y=0	# `False`
`protected float[]`	`$_yBestFitValues` Y-value series of best-fit values Y-value series of best-fit values	# `array()`
`protected integer`	`$_goodnessOfFit`	# `1`
`protected integer`	`$_stdevOfResiduals`	# `0`
`protected integer`	`$_covariance`	# `0`
`protected integer`	`$_correlation`	# `0`
`protected integer`	`$_SSRegression`	# `0`
`protected integer`	`$_SSResiduals`	# `0`
`protected integer`	`$_DFResiduals`	# `0`
`protected integer`	`$_F`	# `0`
`protected integer`	`$_slope`	# `0`
`protected integer`	`$_slopeSE`	# `0`
`protected integer`	`$_intersect`	# `0`
`protected integer`	`$_intersectSE`	# `0`
`protected integer`	`$_Xoffset`	# `0`
`protected integer`	`$_Yoffset`	# `0`

Packages

Classes

Class PHPExcel_Best_Fit

Direct known subclasses

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