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

49
Classes/PHPExcel/Shared/trend/exponentialBestFitClass.php
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@ -1,6 +1,9 @@
<?php
require_once(PHPEXCEL_ROOT . 'PHPExcel/Shared/trend/bestFitClass.php');
/**
* PHPExcel
* PHPExcel_Exponential_Best_Fit
*
* Copyright (c) 2006 - 2015 PHPExcel
*
@ -24,18 +27,6 @@
* @license http://www.gnu.org/licenses/old-licenses/lgpl-2.1.txt LGPL
* @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
{
/**
@ -44,7 +35,7 @@ class PHPExcel_Exponential_Best_Fit extends PHPExcel_Best_Fit
*
* @var string
**/
protected $_bestFitType = 'exponential';
protected $bestFitType = 'exponential';
/**
* Return the Y-Value for a specified value of X
@ -54,8 +45,8 @@ class PHPExcel_Exponential_Best_Fit extends PHPExcel_Best_Fit
**/
public function getValueOfYForX($xValue)
{
return $this->getIntersect() * pow($this->getSlope(), ($xValue - $this->_Xoffset));
} // function getValueOfYForX()
return $this->getIntersect() * pow($this->getSlope(), ($xValue - $this->xOffset));
}
/**
* Return the X-Value for a specified value of Y
@ -65,8 +56,8 @@ class PHPExcel_Exponential_Best_Fit extends PHPExcel_Best_Fit
**/
public function getValueOfXForY($yValue)
{
return log(($yValue + $this->_Yoffset) / $this->getIntersect()) / log($this->getSlope());
} // function getValueOfXForY()
return log(($yValue + $this->yOffset) / $this->getIntersect()) / log($this->getSlope());
}
/**
* Return the Equation of the best-fit line
@ -79,8 +70,8 @@ class PHPExcel_Exponential_Best_Fit extends PHPExcel_Best_Fit
$slope = $this->getSlope($dp);
$intersect = $this->getIntersect($dp);
return 'Y = '.$intersect.' * '.$slope.'^X';
} // function getEquation()
return 'Y = ' . $intersect . ' * ' . $slope . '^X';
}
/**
* Return the Slope of the line
@ -94,7 +85,7 @@ class PHPExcel_Exponential_Best_Fit extends PHPExcel_Best_Fit
return round(exp($this->_slope), $dp);
}
return exp($this->_slope);
} // function getSlope()
}
/**
* 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($dp = 0)
{
if ($dp != 0) {
return round(exp($this->_intersect), $dp);
return round(exp($this->intersect), $dp);
}
return exp($this->_intersect);
} // function getIntersect()
return exp($this->intersect);
}
/**
* 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 boolean $const
*/
private function _exponential_regression($yValues, $xValues, $const)
private function exponentialRegression($yValues, $xValues, $const)
{
foreach ($yValues as &$value) {
if ($value < 0.0) {
@ -128,8 +119,8 @@ class PHPExcel_Exponential_Best_Fit extends PHPExcel_Best_Fit
}
unset($value);
$this->_leastSquareFit($yValues, $xValues, $const);
} // function _exponential_regression()
$this->leastSquareFit($yValues, $xValues, $const);
}
/**
* Define the regression and calculate the goodness of fit for a set of X and Y data values
@ -141,7 +132,7 @@ class PHPExcel_Exponential_Best_Fit extends PHPExcel_Best_Fit
public function __construct($yValues, $xValues = array(), $const = true)
{
if (parent::__construct($yValues, $xValues) !== false) {
$this->_exponential_regression($yValues, $xValues, $const);
$this->exponentialRegression($yValues, $xValues, $const);
}
} // function __construct()
}
}

35
Classes/PHPExcel/Shared/trend/linearBestFitClass.php
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@ -1,6 +1,9 @@
<?php
require_once(PHPEXCEL_ROOT . 'PHPExcel/Shared/trend/bestFitClass.php');
/**
* PHPExcel
* PHPExcel_Linear_Best_Fit
*
* Copyright (c) 2006 - 2015 PHPExcel
*
@ -24,16 +27,6 @@
* @license http://www.gnu.org/licenses/old-licenses/lgpl-2.1.txt LGPL
* @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
{
/**
@ -42,7 +35,7 @@ class PHPExcel_Linear_Best_Fit extends PHPExcel_Best_Fit
*
* @var string
**/
protected $_bestFitType = 'linear';
protected $bestFitType = 'linear';
/**
* Return the Y-Value for a specified value of X
@ -53,7 +46,7 @@ class PHPExcel_Linear_Best_Fit extends PHPExcel_Best_Fit
public function getValueOfYForX($xValue)
{
return $this->getIntersect() + $this->getSlope() * $xValue;
} // function getValueOfYForX()
}
/**
* Return the X-Value for a specified value of Y
@ -64,7 +57,7 @@ class PHPExcel_Linear_Best_Fit extends PHPExcel_Best_Fit
public function getValueOfXForY($yValue)
{
return ($yValue - $this->getIntersect()) / $this->getSlope();
} // function getValueOfXForY()
}
/**
@ -78,8 +71,8 @@ class PHPExcel_Linear_Best_Fit extends PHPExcel_Best_Fit
$slope = $this->getSlope($dp);
$intersect = $this->getIntersect($dp);
return 'Y = '.$intersect.' + '.$slope.' * X';
} // function getEquation()
return 'Y = ' . $intersect . ' + ' . $slope . ' * X';
}
/**
* 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 boolean $const
*/
private function _linear_regression($yValues, $xValues, $const)
private function linearRegression($yValues, $xValues, $const)
{
$this->_leastSquareFit($yValues, $xValues, $const);
} // function _linear_regression()
$this->leastSquareFit($yValues, $xValues, $const);
}
/**
* Define the regression and calculate the goodness of fit for a set of X and Y data values
@ -103,7 +96,7 @@ class PHPExcel_Linear_Best_Fit extends PHPExcel_Best_Fit
public function __construct($yValues, $xValues = array(), $const = true)
{
if (parent::__construct($yValues, $xValues) !== false) {
$this->_linear_regression($yValues, $xValues, $const);
$this->linearRegression($yValues, $xValues, $const);
}
} // function __construct()
}
}

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

71
Classes/PHPExcel/Shared/trend/polynomialBestFitClass.php
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@ -1,6 +1,10 @@
<?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
*
@ -24,19 +28,6 @@
* @license http://www.gnu.org/licenses/old-licenses/lgpl-2.1.txt LGPL
* @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
{
/**
@ -45,7 +36,7 @@ class PHPExcel_Polynomial_Best_Fit extends PHPExcel_Best_Fit
*
* @var string
**/
protected $_bestFitType = 'polynomial';
protected $bestFitType = 'polynomial';
/**
* Polynomial order
@ -53,7 +44,7 @@ class PHPExcel_Polynomial_Best_Fit extends PHPExcel_Best_Fit
* @protected
* @var int
**/
protected $_order = 0;
protected $order = 0;
/**
@ -63,8 +54,8 @@ class PHPExcel_Polynomial_Best_Fit extends PHPExcel_Best_Fit
**/
public function getOrder()
{
return $this->_order;
} // function getOrder()
return $this->order;
}
/**
@ -83,7 +74,7 @@ class PHPExcel_Polynomial_Best_Fit extends PHPExcel_Best_Fit
}
}
return $retVal;
} // function getValueOfYForX()
}
/**
@ -95,7 +86,7 @@ class PHPExcel_Polynomial_Best_Fit extends PHPExcel_Best_Fit
public function getValueOfXForY($yValue)
{
return ($yValue - $this->getIntersect()) / $this->getSlope();
} // function getValueOfXForY()
}
/**
@ -109,17 +100,17 @@ class PHPExcel_Polynomial_Best_Fit extends PHPExcel_Best_Fit
$slope = $this->getSlope($dp);
$intersect = $this->getIntersect($dp);
$equation = 'Y = '.$intersect;
$equation = 'Y = ' . $intersect;
foreach ($slope as $key => $value) {
if ($value != 0.0) {
$equation .= ' + '.$value.' * X';
$equation .= ' + ' . $value . ' * X';
if ($key > 0) {
$equation .= '^'.($key + 1);
$equation .= '^' . ($key + 1);
}
}
}
return $equation;
} // function getEquation()
}
/**
@ -138,13 +129,13 @@ class PHPExcel_Polynomial_Best_Fit extends PHPExcel_Best_Fit
return $coefficients;
}
return $this->_slope;
} // function getSlope()
}
public function getCoefficients($dp = 0)
{
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 boolean $const
*/
private function _polynomial_regression($order, $yValues, $xValues, $const)
private function polynomialRegression($order, $yValues, $xValues, $const)
{
// calculate sums
$x_sum = array_sum($xValues);
$y_sum = array_sum($yValues);
$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];
$xx_sum += $xValues[$i] * $xValues[$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.
*
*/
for ($i = 0; $i < $this->_valueCount; ++$i) {
for ($i = 0; $i < $this->valueCount; ++$i) {
for ($j = 0; $j <= $order; ++$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]);
}
$matrixA = new Matrix($A);
@ -195,14 +186,14 @@ class PHPExcel_Polynomial_Best_Fit extends PHPExcel_Best_Fit
$coefficients[] = $r;
}
$this->_intersect = array_shift($coefficients);
$this->intersect = array_shift($coefficients);
$this->_slope = $coefficients;
$this->_calculateGoodnessOfFit($x_sum, $y_sum, $xx_sum, $yy_sum, $xy_sum);
foreach ($this->_xValues as $xKey => $xValue) {
$this->_yBestFitValues[$xKey] = $this->getValueOfYForX($xValue);
$this->calculateGoodnessOfFit($x_sum, $y_sum, $xx_sum, $yy_sum, $xy_sum);
foreach ($this->xValues as $xKey => $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(), $const = true)
{
if (parent::__construct($yValues, $xValues) !== false) {
if ($order < $this->_valueCount) {
$this->_bestFitType .= '_'.$order;
$this->_order = $order;
$this->_polynomial_regression($order, $yValues, $xValues, $const);
if ($order < $this->valueCount) {
$this->bestFitType .= '_'.$order;
$this->order = $order;
$this->polynomialRegression($order, $yValues, $xValues, $const);
if (($this->getGoodnessOfFit() < 0.0) || ($this->getGoodnessOfFit() > 1.0)) {
$this->_error = true;
}
@ -227,5 +218,5 @@ class PHPExcel_Polynomial_Best_Fit extends PHPExcel_Best_Fit
$this->_error = true;
}
}
} // function __construct()
}
}

45
Classes/PHPExcel/Shared/trend/powerBestFitClass.php
View File

@ -1,6 +1,9 @@
<?php
require_once PHPEXCEL_ROOT . 'PHPExcel/Shared/trend/bestFitClass.php';
/**
* PHPExcel
* PHPExcel_Power_Best_Fit
*
* Copyright (c) 2006 - 2015 PHPExcel
*
@ -24,18 +27,6 @@
* @license http://www.gnu.org/licenses/old-licenses/lgpl-2.1.txt LGPL
* @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
{
/**
@ -44,7 +35,7 @@ class PHPExcel_Power_Best_Fit extends PHPExcel_Best_Fit
*
* @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)
{
return $this->getIntersect() * pow(($xValue - $this->_Xoffset), $this->getSlope());
} // function getValueOfYForX()
return $this->getIntersect() * pow(($xValue - $this->xOffset), $this->getSlope());
}
/**
@ -67,8 +58,8 @@ class PHPExcel_Power_Best_Fit extends PHPExcel_Best_Fit
**/
public function getValueOfXForY($yValue)
{
return pow((($yValue + $this->_Yoffset) / $this->getIntersect()), (1 / $this->getSlope()));
} // function getValueOfXForY()
return pow((($yValue + $this->yOffset) / $this->getIntersect()), (1 / $this->getSlope()));
}
/**
@ -82,8 +73,8 @@ class PHPExcel_Power_Best_Fit extends PHPExcel_Best_Fit
$slope = $this->getSlope($dp);
$intersect = $this->getIntersect($dp);
return 'Y = '.$intersect.' * X^'.$slope;
} // function getEquation()
return 'Y = ' . $intersect . ' * X^' . $slope;
}
/**
@ -95,10 +86,10 @@ class PHPExcel_Power_Best_Fit extends PHPExcel_Best_Fit
public function getIntersect($dp = 0)
{
if ($dp != 0) {
return round(exp($this->_intersect), $dp);
return round(exp($this->intersect), $dp);
}
return exp($this->_intersect);
} // function getIntersect()
return exp($this->intersect);
}
/**
@ -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 boolean $const
*/
private function _power_regression($yValues, $xValues, $const)
private function powerRegression($yValues, $xValues, $const)
{
foreach ($xValues as &$value) {
if ($value < 0.0) {
@ -127,8 +118,8 @@ class PHPExcel_Power_Best_Fit extends PHPExcel_Best_Fit
}
unset($value);
$this->_leastSquareFit($yValues, $xValues, $const);
} // function _power_regression()
$this->leastSquareFit($yValues, $xValues, $const);
}
/**
@ -141,7 +132,7 @@ class PHPExcel_Power_Best_Fit extends PHPExcel_Best_Fit
public function __construct($yValues, $xValues = array(), $const = true)
{
if (parent::__construct($yValues, $xValues) !== false) {
$this->_power_regression($yValues, $xValues, $const);
$this->powerRegression($yValues, $xValues, $const);
}
}
}

95
Classes/PHPExcel/Shared/trend/trendClass.php
View File

@ -1,6 +1,13 @@
<?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
*
@ -24,64 +31,51 @@
* @license http://www.gnu.org/licenses/old-licenses/lgpl-2.1.txt LGPL
* @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
{
const TREND_LINEAR = 'Linear';
const TREND_LOGARITHMIC = 'Logarithmic';
const TREND_EXPONENTIAL = 'Exponential';
const TREND_POWER = 'Power';
const TREND_POLYNOMIAL_2 = 'Polynomial_2';
const TREND_POLYNOMIAL_3 = 'Polynomial_3';
const TREND_POLYNOMIAL_4 = 'Polynomial_4';
const TREND_POLYNOMIAL_5 = 'Polynomial_5';
const TREND_POLYNOMIAL_6 = 'Polynomial_6';
const TREND_BEST_FIT = 'Bestfit';
const TREND_BEST_FIT_NO_POLY = 'Bestfit_no_Polynomials';
const TREND_LINEAR = 'Linear';
const TREND_LOGARITHMIC = 'Logarithmic';
const TREND_EXPONENTIAL = 'Exponential';
const TREND_POWER = 'Power';
const TREND_POLYNOMIAL_2 = 'Polynomial_2';
const TREND_POLYNOMIAL_3 = 'Polynomial_3';
const TREND_POLYNOMIAL_4 = 'Polynomial_4';
const TREND_POLYNOMIAL_5 = 'Polynomial_5';
const TREND_POLYNOMIAL_6 = 'Polynomial_6';
const TREND_BEST_FIT = 'Bestfit';
const TREND_BEST_FIT_NO_POLY = 'Bestfit_no_Polynomials';
/**
* Names of the best-fit trend analysis methods
*
* @var string[]
**/
private static $_trendTypes = array( self::TREND_LINEAR,
self::TREND_LOGARITHMIC,
self::TREND_EXPONENTIAL,
self::TREND_POWER
);
private static $trendTypes = array(
self::TREND_LINEAR,
self::TREND_LOGARITHMIC,
self::TREND_EXPONENTIAL,
self::TREND_POWER
);
/**
* Names of the best-fit trend polynomial orders
*
* @var string[]
**/
private static $_trendTypePolyOrders = array( self::TREND_POLYNOMIAL_2,
self::TREND_POLYNOMIAL_3,
self::TREND_POLYNOMIAL_4,
self::TREND_POLYNOMIAL_5,
self::TREND_POLYNOMIAL_6
);
private static $trendTypePolynomialOrders = array(
self::TREND_POLYNOMIAL_2,
self::TREND_POLYNOMIAL_3,
self::TREND_POLYNOMIAL_4,
self::TREND_POLYNOMIAL_5,
self::TREND_POLYNOMIAL_6
);
/**
* Cached results for each method when trying to identify which provides the 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(), $const = true)
@ -107,34 +101,32 @@ class trendClass
case self::TREND_LOGARITHMIC:
case self::TREND_EXPONENTIAL:
case self::TREND_POWER:
if (!isset(self::$_trendCache[$key])) {
if (!isset(self::$trendCache[$key])) {
$className = 'PHPExcel_'.$trendType.'_Best_Fit';
self::$_trendCache[$key] = new $className($yValues, $xValues, $const);
self::$trendCache[$key] = new $className($yValues, $xValues, $const);
}
return self::$_trendCache[$key];
break;
return self::$trendCache[$key];
case self::TREND_POLYNOMIAL_2:
case self::TREND_POLYNOMIAL_3:
case self::TREND_POLYNOMIAL_4:
case self::TREND_POLYNOMIAL_5:
case self::TREND_POLYNOMIAL_6:
if (!isset(self::$_trendCache[$key])) {
if (!isset(self::$trendCache[$key])) {
$order = substr($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[$key];
break;
return self::$trendCache[$key];
case self::TREND_BEST_FIT:
case self::TREND_BEST_FIT_NO_POLY:
// If the request is to determine the best fit regression, then we test each trend line in turn
// Start by generating an instance of each available trend method
foreach (self::$_trendTypes as $trendMethod) {
foreach (self::$trendTypes as $trendMethod) {
$className = 'PHPExcel_'.$trendMethod.'BestFit';
$bestFit[$trendMethod] = new $className($yValues, $xValues, $const);
$bestFitValue[$trendMethod] = $bestFit[$trendMethod]->getGoodnessOfFit();
}
if ($trendType != self::TREND_BEST_FIT_NO_POLY) {
foreach (self::$_trendTypePolyOrders as $trendMethod) {
foreach (self::$trendTypePolynomialOrders as $trendMethod) {
$order = substr($trendMethod, -1);
$bestFit[$trendMethod] = new PHPExcel_Polynomial_Best_Fit($order, $yValues, $xValues, $const);
if ($bestFit[$trendMethod]->getError()) {
@ -148,9 +140,8 @@ class trendClass
arsort($bestFitValue);
$bestFitType = key($bestFitValue);
return $bestFit[$bestFitType];
break;
default:
return false;
}
} // function calculate()
}
}