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PSR-2 coding standards for trendclass.... this really does want factoring out into a separate repo

This commit is contained in:
MarkBaker 2015-05-24 01:17:43 +01:00
parent 003c259801
commit 99b375613d
7 changed files with 258 additions and 315 deletions
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243
Classes/PHPExcel/Shared/trend/bestFitClass.php
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@ -1,6 +1,7 @@
<?php <?php
/** /**
* PHPExcel * PHPExcel_Best_Fit
* *
* Copyright (c) 2006 - 2015 PHPExcel * Copyright (c) 2006 - 2015 PHPExcel
* *
@ -24,14 +25,6 @@
* @license http://www.gnu.org/licenses/old-licenses/lgpl-2.1.txt LGPL * @license http://www.gnu.org/licenses/old-licenses/lgpl-2.1.txt LGPL
* @version ##VERSION##, ##DATE## * @version ##VERSION##, ##DATE##
*/ */
/**
* PHPExcel_Best_Fit
*
* @category PHPExcel
* @package PHPExcel_Shared_Trend
* @copyright Copyright (c) 2006 - 2015 PHPExcel (http://www.codeplex.com/PHPExcel)
*/
class PHPExcel_Best_Fit class PHPExcel_Best_Fit
{ {
/** /**
@ -39,89 +32,89 @@ class PHPExcel_Best_Fit
* *
* @var boolean * @var boolean
**/ **/
protected $_error = false; protected $error = false;
/** /**
* Algorithm type to use for best-fit * Algorithm type to use for best-fit
* *
* @var string * @var string
**/ **/
protected $_bestFitType = 'undetermined'; protected $bestFitType = 'undetermined';
/** /**
* Number of entries in the sets of x- and y-value arrays * Number of entries in the sets of x- and y-value arrays
* *
* @var int * @var int
**/ **/
protected $_valueCount = 0; protected $valueCount = 0;
/** /**
* X-value dataseries of values * X-value dataseries of values
* *
* @var float[] * @var float[]
**/ **/
protected $_xValues = array(); protected $xValues = array();
/** /**
* Y-value dataseries of values * Y-value dataseries of values
* *
* @var float[] * @var float[]
**/ **/
protected $_yValues = array(); protected $yValues = array();
/** /**
* Flag indicating whether values should be adjusted to Y=0 * Flag indicating whether values should be adjusted to Y=0
* *
* @var boolean * @var boolean
**/ **/
protected $_adjustToZero = false; protected $adjustToZero = false;
/** /**
* Y-value series of best-fit values * Y-value series of best-fit values
* *
* @var float[] * @var float[]
**/ **/
protected $_yBestFitValues = array(); protected $yBestFitValues = array();
protected $_goodnessOfFit = 1; protected $goodnessOfFit = 1;
protected $_stdevOfResiduals = 0; protected $stdevOfResiduals = 0;
protected $_covariance = 0; protected $covariance = 0;
protected $_correlation = 0; protected $correlation = 0;
protected $_SSRegression = 0; protected $SSRegression = 0;
protected $_SSResiduals = 0; protected $SSResiduals = 0;
protected $_DFResiduals = 0; protected $DFResiduals = 0;
protected $_F = 0; protected $f = 0;
protected $_slope = 0; protected $slope = 0;
protected $_slopeSE = 0; protected $slopeSE = 0;
protected $_intersect = 0; protected $intersect = 0;
protected $_intersectSE = 0; protected $intersectSE = 0;
protected $_Xoffset = 0; protected $xOffset = 0;
protected $_Yoffset = 0; protected $yOffset = 0;
public function getError() public function getError()
{ {
return $this->_error; return $this->error;
} // function getBestFitType() }
public function getBestFitType() public function getBestFitType()
{ {
return $this->_bestFitType; return $this->bestFitType;
} // function getBestFitType() }
/** /**
* Return the Y-Value for a specified value of X * Return the Y-Value for a specified value of X
@ -132,7 +125,7 @@ class PHPExcel_Best_Fit
public function getValueOfYForX($xValue) public function getValueOfYForX($xValue)
{ {
return false; return false;
} // function getValueOfYForX() }
/** /**
* Return the X-Value for a specified value of Y * Return the X-Value for a specified value of Y
@ -143,7 +136,7 @@ class PHPExcel_Best_Fit
public function getValueOfXForY($yValue) public function getValueOfXForY($yValue)
{ {
return false; return false;
} // function getValueOfXForY() }
/** /**
* Return the original set of X-Values * Return the original set of X-Values
@ -152,8 +145,8 @@ class PHPExcel_Best_Fit
*/ */
public function getXValues() public function getXValues()
{ {
return $this->_xValues; return $this->xValues;
} // function getValueOfXForY() }
/** /**
* Return the Equation of the best-fit line * Return the Equation of the best-fit line
@ -164,7 +157,7 @@ class PHPExcel_Best_Fit
public function getEquation($dp = 0) public function getEquation($dp = 0)
{ {
return false; return false;
} // function getEquation() }
/** /**
* Return the Slope of the line * Return the Slope of the line
@ -175,10 +168,10 @@ class PHPExcel_Best_Fit
public function getSlope($dp = 0) public function getSlope($dp = 0)
{ {
if ($dp != 0) { if ($dp != 0) {
return round($this->_slope, $dp); return round($this->slope, $dp);
}
return $this->slope;
} }
return $this->_slope;
} // function getSlope()
/** /**
* Return the standard error of the Slope * Return the standard error of the Slope
@ -189,10 +182,10 @@ class PHPExcel_Best_Fit
public function getSlopeSE($dp = 0) public function getSlopeSE($dp = 0)
{ {
if ($dp != 0) { if ($dp != 0) {
return round($this->_slopeSE, $dp); return round($this->slopeSE, $dp);
}
return $this->slopeSE;
} }
return $this->_slopeSE;
} // function getSlopeSE()
/** /**
* Return the Value of X where it intersects Y = 0 * Return the Value of X where it intersects Y = 0
@ -203,10 +196,10 @@ class PHPExcel_Best_Fit
public function getIntersect($dp = 0) public function getIntersect($dp = 0)
{ {
if ($dp != 0) { if ($dp != 0) {
return round($this->_intersect, $dp); return round($this->intersect, $dp);
}
return $this->intersect;
} }
return $this->_intersect;
} // function getIntersect()
/** /**
* Return the standard error of the Intersect * Return the standard error of the Intersect
@ -217,10 +210,10 @@ class PHPExcel_Best_Fit
public function getIntersectSE($dp = 0) public function getIntersectSE($dp = 0)
{ {
if ($dp != 0) { if ($dp != 0) {
return round($this->_intersectSE, $dp); return round($this->intersectSE, $dp);
}
return $this->intersectSE;
} }
return $this->_intersectSE;
} // function getIntersectSE()
/** /**
* Return the goodness of fit for this regression * Return the goodness of fit for this regression
@ -231,18 +224,18 @@ class PHPExcel_Best_Fit
public function getGoodnessOfFit($dp = 0) public function getGoodnessOfFit($dp = 0)
{ {
if ($dp != 0) { if ($dp != 0) {
return round($this->_goodnessOfFit, $dp); return round($this->goodnessOfFit, $dp);
}
return $this->goodnessOfFit;
} }
return $this->_goodnessOfFit;
} // function getGoodnessOfFit()
public function getGoodnessOfFitPercent($dp = 0) public function getGoodnessOfFitPercent($dp = 0)
{ {
if ($dp != 0) { if ($dp != 0) {
return round($this->_goodnessOfFit * 100, $dp); return round($this->goodnessOfFit * 100, $dp);
}
return $this->goodnessOfFit * 100;
} }
return $this->_goodnessOfFit * 100;
} // function getGoodnessOfFitPercent()
/** /**
* Return the standard deviation of the residuals for this regression * Return the standard deviation of the residuals for this regression
@ -253,127 +246,127 @@ class PHPExcel_Best_Fit
public function getStdevOfResiduals($dp = 0) public function getStdevOfResiduals($dp = 0)
{ {
if ($dp != 0) { if ($dp != 0) {
return round($this->_stdevOfResiduals, $dp); return round($this->stdevOfResiduals, $dp);
}
return $this->stdevOfResiduals;
} }
return $this->_stdevOfResiduals;
} // function getStdevOfResiduals()
public function getSSRegression($dp = 0) public function getSSRegression($dp = 0)
{ {
if ($dp != 0) { if ($dp != 0) {
return round($this->_SSRegression, $dp); return round($this->SSRegression, $dp);
}
return $this->SSRegression;
} }
return $this->_SSRegression;
} // function getSSRegression()
public function getSSResiduals($dp = 0) public function getSSResiduals($dp = 0)
{ {
if ($dp != 0) { if ($dp != 0) {
return round($this->_SSResiduals, $dp); return round($this->SSResiduals, $dp);
}
return $this->SSResiduals;
} }
return $this->_SSResiduals;
} // function getSSResiduals()
public function getDFResiduals($dp = 0) public function getDFResiduals($dp = 0)
{ {
if ($dp != 0) { if ($dp != 0) {
return round($this->_DFResiduals, $dp); return round($this->DFResiduals, $dp);
}
return $this->DFResiduals;
} }
return $this->_DFResiduals;
} // function getDFResiduals()
public function getF($dp = 0) public function getF($dp = 0)
{ {
if ($dp != 0) { if ($dp != 0) {
return round($this->_F, $dp); return round($this->f, $dp);
}
return $this->f;
} }
return $this->_F;
} // function getF()
public function getCovariance($dp = 0) public function getCovariance($dp = 0)
{ {
if ($dp != 0) { if ($dp != 0) {
return round($this->_covariance, $dp); return round($this->covariance, $dp);
}
return $this->covariance;
} }
return $this->_covariance;
} // function getCovariance()
public function getCorrelation($dp = 0) public function getCorrelation($dp = 0)
{ {
if ($dp != 0) { if ($dp != 0) {
return round($this->_correlation, $dp); return round($this->correlation, $dp);
}
return $this->correlation;
} }
return $this->_correlation;
} // function getCorrelation()
public function getYBestFitValues() public function getYBestFitValues()
{ {
return $this->_yBestFitValues; return $this->yBestFitValues;
} // function getYBestFitValues() }
protected function _calculateGoodnessOfFit($sumX, $sumY, $sumX2, $sumY2, $sumXY, $meanX, $meanY, $const) protected function calculateGoodnessOfFit($sumX, $sumY, $sumX2, $sumY2, $sumXY, $meanX, $meanY, $const)
{ {
$SSres = $SScov = $SScor = $SStot = $SSsex = 0.0; $SSres = $SScov = $SScor = $SStot = $SSsex = 0.0;
foreach ($this->_xValues as $xKey => $xValue) { foreach ($this->xValues as $xKey => $xValue) {
$bestFitY = $this->_yBestFitValues[$xKey] = $this->getValueOfYForX($xValue); $bestFitY = $this->yBestFitValues[$xKey] = $this->getValueOfYForX($xValue);
$SSres += ($this->_yValues[$xKey] - $bestFitY) * ($this->_yValues[$xKey] - $bestFitY); $SSres += ($this->yValues[$xKey] - $bestFitY) * ($this->yValues[$xKey] - $bestFitY);
if ($const) { if ($const) {
$SStot += ($this->_yValues[$xKey] - $meanY) * ($this->_yValues[$xKey] - $meanY); $SStot += ($this->yValues[$xKey] - $meanY) * ($this->yValues[$xKey] - $meanY);
} else { } else {
$SStot += $this->_yValues[$xKey] * $this->_yValues[$xKey]; $SStot += $this->yValues[$xKey] * $this->yValues[$xKey];
} }
$SScov += ($this->_xValues[$xKey] - $meanX) * ($this->_yValues[$xKey] - $meanY); $SScov += ($this->xValues[$xKey] - $meanX) * ($this->yValues[$xKey] - $meanY);
if ($const) { if ($const) {
$SSsex += ($this->_xValues[$xKey] - $meanX) * ($this->_xValues[$xKey] - $meanX); $SSsex += ($this->xValues[$xKey] - $meanX) * ($this->xValues[$xKey] - $meanX);
} else { } else {
$SSsex += $this->_xValues[$xKey] * $this->_xValues[$xKey]; $SSsex += $this->xValues[$xKey] * $this->xValues[$xKey];
} }
} }
$this->_SSResiduals = $SSres; $this->SSResiduals = $SSres;
$this->_DFResiduals = $this->_valueCount - 1 - $const; $this->DFResiduals = $this->valueCount - 1 - $const;
if ($this->_DFResiduals == 0.0) { if ($this->DFResiduals == 0.0) {
$this->_stdevOfResiduals = 0.0; $this->stdevOfResiduals = 0.0;
} else { } else {
$this->_stdevOfResiduals = sqrt($SSres / $this->_DFResiduals); $this->stdevOfResiduals = sqrt($SSres / $this->DFResiduals);
} }
if (($SStot == 0.0) || ($SSres == $SStot)) { if (($SStot == 0.0) || ($SSres == $SStot)) {
$this->_goodnessOfFit = 1; $this->goodnessOfFit = 1;
} else { } else {
$this->_goodnessOfFit = 1 - ($SSres / $SStot); $this->goodnessOfFit = 1 - ($SSres / $SStot);
} }
$this->_SSRegression = $this->_goodnessOfFit * $SStot; $this->SSRegression = $this->goodnessOfFit * $SStot;
$this->_covariance = $SScov / $this->_valueCount; $this->covariance = $SScov / $this->valueCount;
$this->_correlation = ($this->_valueCount * $sumXY - $sumX * $sumY) / sqrt(($this->_valueCount * $sumX2 - pow($sumX, 2)) * ($this->_valueCount * $sumY2 - pow($sumY, 2))); $this->correlation = ($this->valueCount * $sumXY - $sumX * $sumY) / sqrt(($this->valueCount * $sumX2 - pow($sumX, 2)) * ($this->valueCount * $sumY2 - pow($sumY, 2)));
$this->_slopeSE = $this->_stdevOfResiduals / sqrt($SSsex); $this->slopeSE = $this->stdevOfResiduals / sqrt($SSsex);
$this->_intersectSE = $this->_stdevOfResiduals * sqrt(1 / ($this->_valueCount - ($sumX * $sumX) / $sumX2)); $this->intersectSE = $this->stdevOfResiduals * sqrt(1 / ($this->valueCount - ($sumX * $sumX) / $sumX2));
if ($this->_SSResiduals != 0.0) { if ($this->SSResiduals != 0.0) {
if ($this->_DFResiduals == 0.0) { if ($this->DFResiduals == 0.0) {
$this->_F = 0.0; $this->f = 0.0;
} else { } else {
$this->_F = $this->_SSRegression / ($this->_SSResiduals / $this->_DFResiduals); $this->f = $this->SSRegression / ($this->SSResiduals / $this->DFResiduals);
} }
} else { } else {
if ($this->_DFResiduals == 0.0) { if ($this->DFResiduals == 0.0) {
$this->_F = 0.0; $this->f = 0.0;
} else { } else {
$this->_F = $this->_SSRegression / $this->_DFResiduals; $this->f = $this->SSRegression / $this->DFResiduals;
}
} }
} }
} // function _calculateGoodnessOfFit()
protected function _leastSquareFit($yValues, $xValues, $const) protected function leastSquareFit($yValues, $xValues, $const)
{ {
// calculate sums // calculate sums
$x_sum = array_sum($xValues); $x_sum = array_sum($xValues);
$y_sum = array_sum($yValues); $y_sum = array_sum($yValues);
$meanX = $x_sum / $this->_valueCount; $meanX = $x_sum / $this->valueCount;
$meanY = $y_sum / $this->_valueCount; $meanY = $y_sum / $this->valueCount;
$mBase = $mDivisor = $xx_sum = $xy_sum = $yy_sum = 0.0; $mBase = $mDivisor = $xx_sum = $xy_sum = $yy_sum = 0.0;
for ($i = 0; $i < $this->_valueCount; ++$i) { for ($i = 0; $i < $this->valueCount; ++$i) {
$xy_sum += $xValues[$i] * $yValues[$i]; $xy_sum += $xValues[$i] * $yValues[$i];
$xx_sum += $xValues[$i] * $xValues[$i]; $xx_sum += $xValues[$i] * $xValues[$i];
$yy_sum += $yValues[$i] * $yValues[$i]; $yy_sum += $yValues[$i] * $yValues[$i];
@ -388,19 +381,19 @@ class PHPExcel_Best_Fit
} }
// calculate slope // calculate slope
// $this->_slope = (($this->_valueCount * $xy_sum) - ($x_sum * $y_sum)) / (($this->_valueCount * $xx_sum) - ($x_sum * $x_sum)); // $this->slope = (($this->valueCount * $xy_sum) - ($x_sum * $y_sum)) / (($this->valueCount * $xx_sum) - ($x_sum * $x_sum));
$this->_slope = $mBase / $mDivisor; $this->slope = $mBase / $mDivisor;
// calculate intersect // calculate intersect
// $this->_intersect = ($y_sum - ($this->_slope * $x_sum)) / $this->_valueCount; // $this->intersect = ($y_sum - ($this->slope * $x_sum)) / $this->valueCount;
if ($const) { if ($const) {
$this->_intersect = $meanY - ($this->_slope * $meanX); $this->intersect = $meanY - ($this->slope * $meanX);
} else { } else {
$this->_intersect = 0; $this->intersect = 0;
} }
$this->_calculateGoodnessOfFit($x_sum, $y_sum, $xx_sum, $yy_sum, $xy_sum, $meanX, $meanY, $const); $this->calculateGoodnessOfFit($x_sum, $y_sum, $xx_sum, $yy_sum, $xy_sum, $meanX, $meanY, $const);
} // function _leastSquareFit() }
/** /**
* Define the regression * Define the regression
@ -421,12 +414,12 @@ class PHPExcel_Best_Fit
$nX = $nY; $nX = $nY;
} elseif ($nY != $nX) { } elseif ($nY != $nX) {
// Ensure both arrays of points are the same size // Ensure both arrays of points are the same size
$this->_error = true; $this->error = true;
return false; return false;
} }
$this->_valueCount = $nY; $this->valueCount = $nY;
$this->_xValues = $xValues; $this->xValues = $xValues;
$this->_yValues = $yValues; $this->yValues = $yValues;
} // function __construct() }
} }

47
Classes/PHPExcel/Shared/trend/exponentialBestFitClass.php
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@ -1,6 +1,9 @@
<?php <?php
require_once(PHPEXCEL_ROOT . 'PHPExcel/Shared/trend/bestFitClass.php');
/** /**
* PHPExcel * PHPExcel_Exponential_Best_Fit
* *
* Copyright (c) 2006 - 2015 PHPExcel * Copyright (c) 2006 - 2015 PHPExcel
* *
@ -24,18 +27,6 @@
* @license http://www.gnu.org/licenses/old-licenses/lgpl-2.1.txt LGPL * @license http://www.gnu.org/licenses/old-licenses/lgpl-2.1.txt LGPL
* @version ##VERSION##, ##DATE## * @version ##VERSION##, ##DATE##
*/ */
require_once(PHPEXCEL_ROOT . 'PHPExcel/Shared/trend/bestFitClass.php');
/**
* PHPExcel_Exponential_Best_Fit
*
* @category PHPExcel
* @package PHPExcel_Shared_Trend
* @copyright Copyright (c) 2006 - 2015 PHPExcel (http://www.codeplex.com/PHPExcel)
*/
class PHPExcel_Exponential_Best_Fit extends PHPExcel_Best_Fit class PHPExcel_Exponential_Best_Fit extends PHPExcel_Best_Fit
{ {
/** /**
@ -44,7 +35,7 @@ class PHPExcel_Exponential_Best_Fit extends PHPExcel_Best_Fit
* *
* @var string * @var string
**/ **/
protected $_bestFitType = 'exponential'; protected $bestFitType = 'exponential';
/** /**
* Return the Y-Value for a specified value of X * Return the Y-Value for a specified value of X
@ -54,8 +45,8 @@ class PHPExcel_Exponential_Best_Fit extends PHPExcel_Best_Fit
**/ **/
public function getValueOfYForX($xValue) public function getValueOfYForX($xValue)
{ {
return $this->getIntersect() * pow($this->getSlope(), ($xValue - $this->_Xoffset)); return $this->getIntersect() * pow($this->getSlope(), ($xValue - $this->xOffset));
} // function getValueOfYForX() }
/** /**
* Return the X-Value for a specified value of Y * Return the X-Value for a specified value of Y
@ -65,8 +56,8 @@ class PHPExcel_Exponential_Best_Fit extends PHPExcel_Best_Fit
**/ **/
public function getValueOfXForY($yValue) public function getValueOfXForY($yValue)
{ {
return log(($yValue + $this->_Yoffset) / $this->getIntersect()) / log($this->getSlope()); return log(($yValue + $this->yOffset) / $this->getIntersect()) / log($this->getSlope());
} // function getValueOfXForY() }
/** /**
* Return the Equation of the best-fit line * Return the Equation of the best-fit line
@ -80,7 +71,7 @@ class PHPExcel_Exponential_Best_Fit extends PHPExcel_Best_Fit
$intersect = $this->getIntersect($dp); $intersect = $this->getIntersect($dp);
return 'Y = ' . $intersect . ' * ' . $slope . '^X'; return 'Y = ' . $intersect . ' * ' . $slope . '^X';
} // function getEquation() }
/** /**
* Return the Slope of the line * Return the Slope of the line
@ -94,7 +85,7 @@ class PHPExcel_Exponential_Best_Fit extends PHPExcel_Best_Fit
return round(exp($this->_slope), $dp); return round(exp($this->_slope), $dp);
} }
return exp($this->_slope); return exp($this->_slope);
} // function getSlope() }
/** /**
* Return the Value of X where it intersects Y = 0 * Return the Value of X where it intersects Y = 0
@ -105,10 +96,10 @@ class PHPExcel_Exponential_Best_Fit extends PHPExcel_Best_Fit
public function getIntersect($dp = 0) public function getIntersect($dp = 0)
{ {
if ($dp != 0) { if ($dp != 0) {
return round(exp($this->_intersect), $dp); return round(exp($this->intersect), $dp);
}
return exp($this->intersect);
} }
return exp($this->_intersect);
} // function getIntersect()
/** /**
* Execute the regression and calculate the goodness of fit for a set of X and Y data values * Execute the regression and calculate the goodness of fit for a set of X and Y data values
@ -117,7 +108,7 @@ class PHPExcel_Exponential_Best_Fit extends PHPExcel_Best_Fit
* @param float[] $xValues The set of X-values for this regression * @param float[] $xValues The set of X-values for this regression
* @param boolean $const * @param boolean $const
*/ */
private function _exponential_regression($yValues, $xValues, $const) private function exponentialRegression($yValues, $xValues, $const)
{ {
foreach ($yValues as &$value) { foreach ($yValues as &$value) {
if ($value < 0.0) { if ($value < 0.0) {
@ -128,8 +119,8 @@ class PHPExcel_Exponential_Best_Fit extends PHPExcel_Best_Fit
} }
unset($value); unset($value);
$this->_leastSquareFit($yValues, $xValues, $const); $this->leastSquareFit($yValues, $xValues, $const);
} // function _exponential_regression() }
/** /**
* Define the regression and calculate the goodness of fit for a set of X and Y data values * Define the regression and calculate the goodness of fit for a set of X and Y data values
@ -141,7 +132,7 @@ class PHPExcel_Exponential_Best_Fit extends PHPExcel_Best_Fit
public function __construct($yValues, $xValues = array(), $const = true) public function __construct($yValues, $xValues = array(), $const = true)
{ {
if (parent::__construct($yValues, $xValues) !== false) { if (parent::__construct($yValues, $xValues) !== false) {
$this->_exponential_regression($yValues, $xValues, $const); $this->exponentialRegression($yValues, $xValues, $const);
}
} }
} // function __construct()
} }

33
Classes/PHPExcel/Shared/trend/linearBestFitClass.php
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@ -1,6 +1,9 @@
<?php <?php
require_once(PHPEXCEL_ROOT . 'PHPExcel/Shared/trend/bestFitClass.php');
/** /**
* PHPExcel * PHPExcel_Linear_Best_Fit
* *
* Copyright (c) 2006 - 2015 PHPExcel * Copyright (c) 2006 - 2015 PHPExcel
* *
@ -24,16 +27,6 @@
* @license http://www.gnu.org/licenses/old-licenses/lgpl-2.1.txt LGPL * @license http://www.gnu.org/licenses/old-licenses/lgpl-2.1.txt LGPL
* @version ##VERSION##, ##DATE## * @version ##VERSION##, ##DATE##
*/ */
require_once(PHPEXCEL_ROOT . 'PHPExcel/Shared/trend/bestFitClass.php');
/**
* PHPExcel_Linear_Best_Fit
*
* @category PHPExcel
* @package PHPExcel_Shared_Trend
* @copyright Copyright (c) 2006 - 2015 PHPExcel (http://www.codeplex.com/PHPExcel)
*/
class PHPExcel_Linear_Best_Fit extends PHPExcel_Best_Fit class PHPExcel_Linear_Best_Fit extends PHPExcel_Best_Fit
{ {
/** /**
@ -42,7 +35,7 @@ class PHPExcel_Linear_Best_Fit extends PHPExcel_Best_Fit
* *
* @var string * @var string
**/ **/
protected $_bestFitType = 'linear'; protected $bestFitType = 'linear';
/** /**
* Return the Y-Value for a specified value of X * Return the Y-Value for a specified value of X
@ -53,7 +46,7 @@ class PHPExcel_Linear_Best_Fit extends PHPExcel_Best_Fit
public function getValueOfYForX($xValue) public function getValueOfYForX($xValue)
{ {
return $this->getIntersect() + $this->getSlope() * $xValue; return $this->getIntersect() + $this->getSlope() * $xValue;
} // function getValueOfYForX() }
/** /**
* Return the X-Value for a specified value of Y * Return the X-Value for a specified value of Y
@ -64,7 +57,7 @@ class PHPExcel_Linear_Best_Fit extends PHPExcel_Best_Fit
public function getValueOfXForY($yValue) public function getValueOfXForY($yValue)
{ {
return ($yValue - $this->getIntersect()) / $this->getSlope(); return ($yValue - $this->getIntersect()) / $this->getSlope();
} // function getValueOfXForY() }
/** /**
@ -79,7 +72,7 @@ class PHPExcel_Linear_Best_Fit extends PHPExcel_Best_Fit
$intersect = $this->getIntersect($dp); $intersect = $this->getIntersect($dp);
return 'Y = ' . $intersect . ' + ' . $slope . ' * X'; return 'Y = ' . $intersect . ' + ' . $slope . ' * X';
} // function getEquation() }
/** /**
* Execute the regression and calculate the goodness of fit for a set of X and Y data values * Execute the regression and calculate the goodness of fit for a set of X and Y data values
@ -88,10 +81,10 @@ class PHPExcel_Linear_Best_Fit extends PHPExcel_Best_Fit
* @param float[] $xValues The set of X-values for this regression * @param float[] $xValues The set of X-values for this regression
* @param boolean $const * @param boolean $const
*/ */
private function _linear_regression($yValues, $xValues, $const) private function linearRegression($yValues, $xValues, $const)
{ {
$this->_leastSquareFit($yValues, $xValues, $const); $this->leastSquareFit($yValues, $xValues, $const);
} // function _linear_regression() }
/** /**
* Define the regression and calculate the goodness of fit for a set of X and Y data values * Define the regression and calculate the goodness of fit for a set of X and Y data values
@ -103,7 +96,7 @@ class PHPExcel_Linear_Best_Fit extends PHPExcel_Best_Fit
public function __construct($yValues, $xValues = array(), $const = true) public function __construct($yValues, $xValues = array(), $const = true)
{ {
if (parent::__construct($yValues, $xValues) !== false) { if (parent::__construct($yValues, $xValues) !== false) {
$this->_linear_regression($yValues, $xValues, $const); $this->linearRegression($yValues, $xValues, $const);
}
} }
} // function __construct()
} }

35
Classes/PHPExcel/Shared/trend/logarithmicBestFitClass.php
View File

@ -1,6 +1,9 @@
<?php <?php
require_once(PHPEXCEL_ROOT . 'PHPExcel/Shared/trend/bestFitClass.php');
/** /**
* PHPExcel * PHPExcel_Logarithmic_Best_Fit
* *
* Copyright (c) 2006 - 2015 PHPExcel * Copyright (c) 2006 - 2015 PHPExcel
* *
@ -24,16 +27,6 @@
* @license http://www.gnu.org/licenses/old-licenses/lgpl-2.1.txt LGPL * @license http://www.gnu.org/licenses/old-licenses/lgpl-2.1.txt LGPL
* @version ##VERSION##, ##DATE## * @version ##VERSION##, ##DATE##
*/ */
require_once(PHPEXCEL_ROOT . 'PHPExcel/Shared/trend/bestFitClass.php');
/**
* PHPExcel_Logarithmic_Best_Fit
*
* @category PHPExcel
* @package PHPExcel_Shared_Trend
* @copyright Copyright (c) 2006 - 2015 PHPExcel (http://www.codeplex.com/PHPExcel)
*/
class PHPExcel_Logarithmic_Best_Fit extends PHPExcel_Best_Fit class PHPExcel_Logarithmic_Best_Fit extends PHPExcel_Best_Fit
{ {
/** /**
@ -42,7 +35,7 @@ class PHPExcel_Logarithmic_Best_Fit extends PHPExcel_Best_Fit
* *
* @var string * @var string
**/ **/
protected $_bestFitType = 'logarithmic'; protected $bestFitType = 'logarithmic';
/** /**
* Return the Y-Value for a specified value of X * Return the Y-Value for a specified value of X
@ -52,8 +45,8 @@ class PHPExcel_Logarithmic_Best_Fit extends PHPExcel_Best_Fit
**/ **/
public function getValueOfYForX($xValue) public function getValueOfYForX($xValue)
{ {
return $this->getIntersect() + $this->getSlope() * log($xValue - $this->_Xoffset); return $this->getIntersect() + $this->getSlope() * log($xValue - $this->xOffset);
} // function getValueOfYForX() }
/** /**
* Return the X-Value for a specified value of Y * Return the X-Value for a specified value of Y
@ -64,7 +57,7 @@ class PHPExcel_Logarithmic_Best_Fit extends PHPExcel_Best_Fit
public function getValueOfXForY($yValue) public function getValueOfXForY($yValue)
{ {
return exp(($yValue - $this->getIntersect()) / $this->getSlope()); return exp(($yValue - $this->getIntersect()) / $this->getSlope());
} // function getValueOfXForY() }
/** /**
* Return the Equation of the best-fit line * Return the Equation of the best-fit line
@ -78,7 +71,7 @@ class PHPExcel_Logarithmic_Best_Fit extends PHPExcel_Best_Fit
$intersect = $this->getIntersect($dp); $intersect = $this->getIntersect($dp);
return 'Y = '.$intersect.' + '.$slope.' * log(X)'; return 'Y = '.$intersect.' + '.$slope.' * log(X)';
} // function getEquation() }
/** /**
* Execute the regression and calculate the goodness of fit for a set of X and Y data values * Execute the regression and calculate the goodness of fit for a set of X and Y data values
@ -87,7 +80,7 @@ class PHPExcel_Logarithmic_Best_Fit extends PHPExcel_Best_Fit
* @param float[] $xValues The set of X-values for this regression * @param float[] $xValues The set of X-values for this regression
* @param boolean $const * @param boolean $const
*/ */
private function _logarithmic_regression($yValues, $xValues, $const) private function logarithmicRegression($yValues, $xValues, $const)
{ {
foreach ($xValues as &$value) { foreach ($xValues as &$value) {
if ($value < 0.0) { if ($value < 0.0) {
@ -98,8 +91,8 @@ class PHPExcel_Logarithmic_Best_Fit extends PHPExcel_Best_Fit
} }
unset($value); unset($value);
$this->_leastSquareFit($yValues, $xValues, $const); $this->leastSquareFit($yValues, $xValues, $const);
} // function _logarithmic_regression() }
/** /**
* Define the regression and calculate the goodness of fit for a set of X and Y data values * Define the regression and calculate the goodness of fit for a set of X and Y data values
@ -111,7 +104,7 @@ class PHPExcel_Logarithmic_Best_Fit extends PHPExcel_Best_Fit
public function __construct($yValues, $xValues = array(), $const = true) public function __construct($yValues, $xValues = array(), $const = true)
{ {
if (parent::__construct($yValues, $xValues) !== false) { if (parent::__construct($yValues, $xValues) !== false) {
$this->_logarithmic_regression($yValues, $xValues, $const); $this->logarithmicRegression($yValues, $xValues, $const);
}
} }
} // function __construct()
} }

65
Classes/PHPExcel/Shared/trend/polynomialBestFitClass.php
View File

@ -1,6 +1,10 @@
<?php <?php
require_once PHPEXCEL_ROOT . 'PHPExcel/Shared/trend/bestFitClass.php';
require_once PHPEXCEL_ROOT . 'PHPExcel/Shared/JAMA/Matrix.php';
/** /**
* PHPExcel * PHPExcel_Polynomial_Best_Fit
* *
* Copyright (c) 2006 - 2015 PHPExcel * Copyright (c) 2006 - 2015 PHPExcel
* *
@ -24,19 +28,6 @@
* @license http://www.gnu.org/licenses/old-licenses/lgpl-2.1.txt LGPL * @license http://www.gnu.org/licenses/old-licenses/lgpl-2.1.txt LGPL
* @version ##VERSION##, ##DATE## * @version ##VERSION##, ##DATE##
*/ */
require_once PHPEXCEL_ROOT . 'PHPExcel/Shared/trend/bestFitClass.php';
require_once PHPEXCEL_ROOT . 'PHPExcel/Shared/JAMA/Matrix.php';
/**
* PHPExcel_Polynomial_Best_Fit
*
* @category PHPExcel
* @package PHPExcel_Shared_Trend
* @copyright Copyright (c) 2006 - 2015 PHPExcel (http://www.codeplex.com/PHPExcel)
*/
class PHPExcel_Polynomial_Best_Fit extends PHPExcel_Best_Fit class PHPExcel_Polynomial_Best_Fit extends PHPExcel_Best_Fit
{ {
/** /**
@ -45,7 +36,7 @@ class PHPExcel_Polynomial_Best_Fit extends PHPExcel_Best_Fit
* *
* @var string * @var string
**/ **/
protected $_bestFitType = 'polynomial'; protected $bestFitType = 'polynomial';
/** /**
* Polynomial order * Polynomial order
@ -53,7 +44,7 @@ class PHPExcel_Polynomial_Best_Fit extends PHPExcel_Best_Fit
* @protected * @protected
* @var int * @var int
**/ **/
protected $_order = 0; protected $order = 0;
/** /**
@ -63,8 +54,8 @@ class PHPExcel_Polynomial_Best_Fit extends PHPExcel_Best_Fit
**/ **/
public function getOrder() public function getOrder()
{ {
return $this->_order; return $this->order;
} // function getOrder() }
/** /**
@ -83,7 +74,7 @@ class PHPExcel_Polynomial_Best_Fit extends PHPExcel_Best_Fit
} }
} }
return $retVal; return $retVal;
} // function getValueOfYForX() }
/** /**
@ -95,7 +86,7 @@ class PHPExcel_Polynomial_Best_Fit extends PHPExcel_Best_Fit
public function getValueOfXForY($yValue) public function getValueOfXForY($yValue)
{ {
return ($yValue - $this->getIntersect()) / $this->getSlope(); return ($yValue - $this->getIntersect()) / $this->getSlope();
} // function getValueOfXForY() }
/** /**
@ -119,7 +110,7 @@ class PHPExcel_Polynomial_Best_Fit extends PHPExcel_Best_Fit
} }
} }
return $equation; return $equation;
} // function getEquation() }
/** /**
@ -138,13 +129,13 @@ class PHPExcel_Polynomial_Best_Fit extends PHPExcel_Best_Fit
return $coefficients; return $coefficients;
} }
return $this->_slope; return $this->_slope;
} // function getSlope() }
public function getCoefficients($dp = 0) public function getCoefficients($dp = 0)
{ {
return array_merge(array($this->getIntersect($dp)), $this->getSlope($dp)); return array_merge(array($this->getIntersect($dp)), $this->getSlope($dp));
} // function getCoefficients() }
/** /**
@ -155,13 +146,13 @@ class PHPExcel_Polynomial_Best_Fit extends PHPExcel_Best_Fit
* @param float[] $xValues The set of X-values for this regression * @param float[] $xValues The set of X-values for this regression
* @param boolean $const * @param boolean $const
*/ */
private function _polynomial_regression($order, $yValues, $xValues, $const) private function polynomialRegression($order, $yValues, $xValues, $const)
{ {
// calculate sums // calculate sums
$x_sum = array_sum($xValues); $x_sum = array_sum($xValues);
$y_sum = array_sum($yValues); $y_sum = array_sum($yValues);
$xx_sum = $xy_sum = 0; $xx_sum = $xy_sum = 0;
for ($i = 0; $i < $this->_valueCount; ++$i) { for ($i = 0; $i < $this->valueCount; ++$i) {
$xy_sum += $xValues[$i] * $yValues[$i]; $xy_sum += $xValues[$i] * $yValues[$i];
$xx_sum += $xValues[$i] * $xValues[$i]; $xx_sum += $xValues[$i] * $xValues[$i];
$yy_sum += $yValues[$i] * $yValues[$i]; $yy_sum += $yValues[$i] * $yValues[$i];
@ -174,12 +165,12 @@ class PHPExcel_Polynomial_Best_Fit extends PHPExcel_Best_Fit
* a series of x-y data points using least squares. * a series of x-y data points using least squares.
* *
*/ */
for ($i = 0; $i < $this->_valueCount; ++$i) { for ($i = 0; $i < $this->valueCount; ++$i) {
for ($j = 0; $j <= $order; ++$j) { for ($j = 0; $j <= $order; ++$j) {
$A[$i][$j] = pow($xValues[$i], $j); $A[$i][$j] = pow($xValues[$i], $j);
} }
} }
for ($i=0; $i < $this->_valueCount; ++$i) { for ($i=0; $i < $this->valueCount; ++$i) {
$B[$i] = array($yValues[$i]); $B[$i] = array($yValues[$i]);
} }
$matrixA = new Matrix($A); $matrixA = new Matrix($A);
@ -195,14 +186,14 @@ class PHPExcel_Polynomial_Best_Fit extends PHPExcel_Best_Fit
$coefficients[] = $r; $coefficients[] = $r;
} }
$this->_intersect = array_shift($coefficients); $this->intersect = array_shift($coefficients);
$this->_slope = $coefficients; $this->_slope = $coefficients;
$this->_calculateGoodnessOfFit($x_sum, $y_sum, $xx_sum, $yy_sum, $xy_sum); $this->calculateGoodnessOfFit($x_sum, $y_sum, $xx_sum, $yy_sum, $xy_sum);
foreach ($this->_xValues as $xKey => $xValue) { foreach ($this->xValues as $xKey => $xValue) {
$this->_yBestFitValues[$xKey] = $this->getValueOfYForX($xValue); $this->yBestFitValues[$xKey] = $this->getValueOfYForX($xValue);
}
} }
} // function _polynomial_regression()
/** /**
@ -216,10 +207,10 @@ class PHPExcel_Polynomial_Best_Fit extends PHPExcel_Best_Fit
public function __construct($order, $yValues, $xValues = array(), $const = true) public function __construct($order, $yValues, $xValues = array(), $const = true)
{ {
if (parent::__construct($yValues, $xValues) !== false) { if (parent::__construct($yValues, $xValues) !== false) {
if ($order < $this->_valueCount) { if ($order < $this->valueCount) {
$this->_bestFitType .= '_'.$order; $this->bestFitType .= '_'.$order;
$this->_order = $order; $this->order = $order;
$this->_polynomial_regression($order, $yValues, $xValues, $const); $this->polynomialRegression($order, $yValues, $xValues, $const);
if (($this->getGoodnessOfFit() < 0.0) || ($this->getGoodnessOfFit() > 1.0)) { if (($this->getGoodnessOfFit() < 0.0) || ($this->getGoodnessOfFit() > 1.0)) {
$this->_error = true; $this->_error = true;
} }
@ -227,5 +218,5 @@ class PHPExcel_Polynomial_Best_Fit extends PHPExcel_Best_Fit
$this->_error = true; $this->_error = true;
} }
} }
} // function __construct() }
} }

43
Classes/PHPExcel/Shared/trend/powerBestFitClass.php
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@ -1,6 +1,9 @@
<?php <?php
require_once PHPEXCEL_ROOT . 'PHPExcel/Shared/trend/bestFitClass.php';
/** /**
* PHPExcel * PHPExcel_Power_Best_Fit
* *
* Copyright (c) 2006 - 2015 PHPExcel * Copyright (c) 2006 - 2015 PHPExcel
* *
@ -24,18 +27,6 @@
* @license http://www.gnu.org/licenses/old-licenses/lgpl-2.1.txt LGPL * @license http://www.gnu.org/licenses/old-licenses/lgpl-2.1.txt LGPL
* @version ##VERSION##, ##DATE## * @version ##VERSION##, ##DATE##
*/ */
require_once PHPEXCEL_ROOT . 'PHPExcel/Shared/trend/bestFitClass.php';
/**
* PHPExcel_Power_Best_Fit
*
* @category PHPExcel
* @package PHPExcel_Shared_Trend
* @copyright Copyright (c) 2006 - 2015 PHPExcel (http://www.codeplex.com/PHPExcel)
*/
class PHPExcel_Power_Best_Fit extends PHPExcel_Best_Fit class PHPExcel_Power_Best_Fit extends PHPExcel_Best_Fit
{ {
/** /**
@ -44,7 +35,7 @@ class PHPExcel_Power_Best_Fit extends PHPExcel_Best_Fit
* *
* @var string * @var string
**/ **/
protected $_bestFitType = 'power'; protected $bestFitType = 'power';
/** /**
@ -55,8 +46,8 @@ class PHPExcel_Power_Best_Fit extends PHPExcel_Best_Fit
**/ **/
public function getValueOfYForX($xValue) public function getValueOfYForX($xValue)
{ {
return $this->getIntersect() * pow(($xValue - $this->_Xoffset), $this->getSlope()); return $this->getIntersect() * pow(($xValue - $this->xOffset), $this->getSlope());
} // function getValueOfYForX() }
/** /**
@ -67,8 +58,8 @@ class PHPExcel_Power_Best_Fit extends PHPExcel_Best_Fit
**/ **/
public function getValueOfXForY($yValue) public function getValueOfXForY($yValue)
{ {
return pow((($yValue + $this->_Yoffset) / $this->getIntersect()), (1 / $this->getSlope())); return pow((($yValue + $this->yOffset) / $this->getIntersect()), (1 / $this->getSlope()));
} // function getValueOfXForY() }
/** /**
@ -83,7 +74,7 @@ class PHPExcel_Power_Best_Fit extends PHPExcel_Best_Fit
$intersect = $this->getIntersect($dp); $intersect = $this->getIntersect($dp);
return 'Y = ' . $intersect . ' * X^' . $slope; return 'Y = ' . $intersect . ' * X^' . $slope;
} // function getEquation() }
/** /**
@ -95,10 +86,10 @@ class PHPExcel_Power_Best_Fit extends PHPExcel_Best_Fit
public function getIntersect($dp = 0) public function getIntersect($dp = 0)
{ {
if ($dp != 0) { if ($dp != 0) {
return round(exp($this->_intersect), $dp); return round(exp($this->intersect), $dp);
}
return exp($this->intersect);
} }
return exp($this->_intersect);
} // function getIntersect()
/** /**
@ -108,7 +99,7 @@ class PHPExcel_Power_Best_Fit extends PHPExcel_Best_Fit
* @param float[] $xValues The set of X-values for this regression * @param float[] $xValues The set of X-values for this regression
* @param boolean $const * @param boolean $const
*/ */
private function _power_regression($yValues, $xValues, $const) private function powerRegression($yValues, $xValues, $const)
{ {
foreach ($xValues as &$value) { foreach ($xValues as &$value) {
if ($value < 0.0) { if ($value < 0.0) {
@ -127,8 +118,8 @@ class PHPExcel_Power_Best_Fit extends PHPExcel_Best_Fit
} }
unset($value); unset($value);
$this->_leastSquareFit($yValues, $xValues, $const); $this->leastSquareFit($yValues, $xValues, $const);
} // function _power_regression() }
/** /**
@ -141,7 +132,7 @@ class PHPExcel_Power_Best_Fit extends PHPExcel_Best_Fit
public function __construct($yValues, $xValues = array(), $const = true) public function __construct($yValues, $xValues = array(), $const = true)
{ {
if (parent::__construct($yValues, $xValues) !== false) { if (parent::__construct($yValues, $xValues) !== false) {
$this->_power_regression($yValues, $xValues, $const); $this->powerRegression($yValues, $xValues, $const);
} }
} }
} }

55
Classes/PHPExcel/Shared/trend/trendClass.php
View File

@ -1,6 +1,13 @@
<?php <?php
require_once PHPEXCEL_ROOT . 'PHPExcel/Shared/trend/linearBestFitClass.php';
require_once PHPEXCEL_ROOT . 'PHPExcel/Shared/trend/logarithmicBestFitClass.php';
require_once PHPEXCEL_ROOT . 'PHPExcel/Shared/trend/exponentialBestFitClass.php';
require_once PHPEXCEL_ROOT . 'PHPExcel/Shared/trend/powerBestFitClass.php';
require_once PHPEXCEL_ROOT . 'PHPExcel/Shared/trend/polynomialBestFitClass.php';
/** /**
* PHPExcel * PHPExcel_trendClass
* *
* Copyright (c) 2006 - 2015 PHPExcel * Copyright (c) 2006 - 2015 PHPExcel
* *
@ -24,22 +31,6 @@
* @license http://www.gnu.org/licenses/old-licenses/lgpl-2.1.txt LGPL * @license http://www.gnu.org/licenses/old-licenses/lgpl-2.1.txt LGPL
* @version ##VERSION##, ##DATE## * @version ##VERSION##, ##DATE##
*/ */
require_once PHPEXCEL_ROOT . 'PHPExcel/Shared/trend/linearBestFitClass.php';
require_once PHPEXCEL_ROOT . 'PHPExcel/Shared/trend/logarithmicBestFitClass.php';
require_once PHPEXCEL_ROOT . 'PHPExcel/Shared/trend/exponentialBestFitClass.php';
require_once PHPEXCEL_ROOT . 'PHPExcel/Shared/trend/powerBestFitClass.php';
require_once PHPEXCEL_ROOT . 'PHPExcel/Shared/trend/polynomialBestFitClass.php';
/**
* PHPExcel_trendClass
*
* @category PHPExcel
* @package PHPExcel_Shared_Trend
* @copyright Copyright (c) 2006 - 2015 PHPExcel (http://www.codeplex.com/PHPExcel)
*/
class trendClass class trendClass
{ {
const TREND_LINEAR = 'Linear'; const TREND_LINEAR = 'Linear';
@ -59,17 +50,20 @@ class trendClass
* *
* @var string[] * @var string[]
**/ **/
private static $_trendTypes = array( self::TREND_LINEAR, private static $trendTypes = array(
self::TREND_LINEAR,
self::TREND_LOGARITHMIC, self::TREND_LOGARITHMIC,
self::TREND_EXPONENTIAL, self::TREND_EXPONENTIAL,
self::TREND_POWER self::TREND_POWER
); );
/** /**
* Names of the best-fit trend polynomial orders * Names of the best-fit trend polynomial orders
* *
* @var string[] * @var string[]
**/ **/
private static $_trendTypePolyOrders = array( self::TREND_POLYNOMIAL_2, private static $trendTypePolynomialOrders = array(
self::TREND_POLYNOMIAL_2,
self::TREND_POLYNOMIAL_3, self::TREND_POLYNOMIAL_3,
self::TREND_POLYNOMIAL_4, self::TREND_POLYNOMIAL_4,
self::TREND_POLYNOMIAL_5, self::TREND_POLYNOMIAL_5,
@ -81,7 +75,7 @@ class trendClass
* *
* @var PHPExcel_Best_Fit[] * @var PHPExcel_Best_Fit[]
**/ **/
private static $_trendCache = array(); private static $trendCache = array();
public static function calculate($trendType = self::TREND_BEST_FIT, $yValues, $xValues = array(), $const = true) public static function calculate($trendType = self::TREND_BEST_FIT, $yValues, $xValues = array(), $const = true)
@ -107,34 +101,32 @@ class trendClass
case self::TREND_LOGARITHMIC: case self::TREND_LOGARITHMIC:
case self::TREND_EXPONENTIAL: case self::TREND_EXPONENTIAL:
case self::TREND_POWER: case self::TREND_POWER:
if (!isset(self::$_trendCache[$key])) { if (!isset(self::$trendCache[$key])) {
$className = 'PHPExcel_'.$trendType.'_Best_Fit'; $className = 'PHPExcel_'.$trendType.'_Best_Fit';
self::$_trendCache[$key] = new $className($yValues, $xValues, $const); self::$trendCache[$key] = new $className($yValues, $xValues, $const);
} }
return self::$_trendCache[$key]; return self::$trendCache[$key];
break;
case self::TREND_POLYNOMIAL_2: case self::TREND_POLYNOMIAL_2:
case self::TREND_POLYNOMIAL_3: case self::TREND_POLYNOMIAL_3:
case self::TREND_POLYNOMIAL_4: case self::TREND_POLYNOMIAL_4:
case self::TREND_POLYNOMIAL_5: case self::TREND_POLYNOMIAL_5:
case self::TREND_POLYNOMIAL_6: case self::TREND_POLYNOMIAL_6:
if (!isset(self::$_trendCache[$key])) { if (!isset(self::$trendCache[$key])) {
$order = substr($trendType, -1); $order = substr($trendType, -1);
self::$_trendCache[$key] = new PHPExcel_Polynomial_Best_Fit($order, $yValues, $xValues, $const); self::$trendCache[$key] = new PHPExcel_Polynomial_Best_Fit($order, $yValues, $xValues, $const);
} }
return self::$_trendCache[$key]; return self::$trendCache[$key];
break;
case self::TREND_BEST_FIT: case self::TREND_BEST_FIT:
case self::TREND_BEST_FIT_NO_POLY: case self::TREND_BEST_FIT_NO_POLY:
// If the request is to determine the best fit regression, then we test each trend line in turn // If the request is to determine the best fit regression, then we test each trend line in turn
// Start by generating an instance of each available trend method // Start by generating an instance of each available trend method
foreach (self::$_trendTypes as $trendMethod) { foreach (self::$trendTypes as $trendMethod) {
$className = 'PHPExcel_'.$trendMethod.'BestFit'; $className = 'PHPExcel_'.$trendMethod.'BestFit';
$bestFit[$trendMethod] = new $className($yValues, $xValues, $const); $bestFit[$trendMethod] = new $className($yValues, $xValues, $const);
$bestFitValue[$trendMethod] = $bestFit[$trendMethod]->getGoodnessOfFit(); $bestFitValue[$trendMethod] = $bestFit[$trendMethod]->getGoodnessOfFit();
} }
if ($trendType != self::TREND_BEST_FIT_NO_POLY) { if ($trendType != self::TREND_BEST_FIT_NO_POLY) {
foreach (self::$_trendTypePolyOrders as $trendMethod) { foreach (self::$trendTypePolynomialOrders as $trendMethod) {
$order = substr($trendMethod, -1); $order = substr($trendMethod, -1);
$bestFit[$trendMethod] = new PHPExcel_Polynomial_Best_Fit($order, $yValues, $xValues, $const); $bestFit[$trendMethod] = new PHPExcel_Polynomial_Best_Fit($order, $yValues, $xValues, $const);
if ($bestFit[$trendMethod]->getError()) { if ($bestFit[$trendMethod]->getError()) {
@ -148,9 +140,8 @@ class trendClass
arsort($bestFitValue); arsort($bestFitValue);
$bestFitType = key($bestFitValue); $bestFitType = key($bestFitValue);
return $bestFit[$bestFitType]; return $bestFit[$bestFitType];
break;
default: default:
return false; return false;
} }
} // function calculate() }
} }