function PHPExcel_Best_Fit::__construct in Loft Data Grids 7.2
Same name and namespace in other branches
- 6.2 vendor/phpoffice/phpexcel/Classes/PHPExcel/Shared/trend/bestFitClass.php \PHPExcel_Best_Fit::__construct()
* Define the regression * *
Parameters
float[] $yValues The set of Y-values for this regression: * @param float[] $xValues The set of X-values for this regression * @param boolean $const
5 calls to PHPExcel_Best_Fit::__construct()
- PHPExcel_Exponential_Best_Fit::__construct in vendor/
phpoffice/ phpexcel/ Classes/ PHPExcel/ Shared/ trend/ exponentialBestFitClass.php - * Define the regression and calculate the goodness of fit for a set of X and Y data values * *
- PHPExcel_Linear_Best_Fit::__construct in vendor/
phpoffice/ phpexcel/ Classes/ PHPExcel/ Shared/ trend/ linearBestFitClass.php - * Define the regression and calculate the goodness of fit for a set of X and Y data values * *
- PHPExcel_Logarithmic_Best_Fit::__construct in vendor/
phpoffice/ phpexcel/ Classes/ PHPExcel/ Shared/ trend/ logarithmicBestFitClass.php - * Define the regression and calculate the goodness of fit for a set of X and Y data values * *
- PHPExcel_Polynomial_Best_Fit::__construct in vendor/
phpoffice/ phpexcel/ Classes/ PHPExcel/ Shared/ trend/ polynomialBestFitClass.php - * Define the regression and calculate the goodness of fit for a set of X and Y data values * *
- PHPExcel_Power_Best_Fit::__construct in vendor/
phpoffice/ phpexcel/ Classes/ PHPExcel/ Shared/ trend/ powerBestFitClass.php - * Define the regression and calculate the goodness of fit for a set of X and Y data values * *
5 methods override PHPExcel_Best_Fit::__construct()
- PHPExcel_Exponential_Best_Fit::__construct in vendor/
phpoffice/ phpexcel/ Classes/ PHPExcel/ Shared/ trend/ exponentialBestFitClass.php - * Define the regression and calculate the goodness of fit for a set of X and Y data values * *
- PHPExcel_Linear_Best_Fit::__construct in vendor/
phpoffice/ phpexcel/ Classes/ PHPExcel/ Shared/ trend/ linearBestFitClass.php - * Define the regression and calculate the goodness of fit for a set of X and Y data values * *
- PHPExcel_Logarithmic_Best_Fit::__construct in vendor/
phpoffice/ phpexcel/ Classes/ PHPExcel/ Shared/ trend/ logarithmicBestFitClass.php - * Define the regression and calculate the goodness of fit for a set of X and Y data values * *
- PHPExcel_Polynomial_Best_Fit::__construct in vendor/
phpoffice/ phpexcel/ Classes/ PHPExcel/ Shared/ trend/ polynomialBestFitClass.php - * Define the regression and calculate the goodness of fit for a set of X and Y data values * *
- PHPExcel_Power_Best_Fit::__construct in vendor/
phpoffice/ phpexcel/ Classes/ PHPExcel/ Shared/ trend/ powerBestFitClass.php - * Define the regression and calculate the goodness of fit for a set of X and Y data values * *
File
- vendor/
phpoffice/ phpexcel/ Classes/ PHPExcel/ Shared/ trend/ bestFitClass.php, line 412
Class
- PHPExcel_Best_Fit
- PHPExcel_Best_Fit
Code
function __construct($yValues, $xValues = array(), $const = True) {
// Calculate number of points
$nY = count($yValues);
$nX = count($xValues);
// Define X Values if necessary
if ($nX == 0) {
$xValues = range(1, $nY);
$nX = $nY;
}
elseif ($nY != $nX) {
// Ensure both arrays of points are the same size
$this->_error = True;
return False;
}
$this->_valueCount = $nY;
$this->_xValues = $xValues;
$this->_yValues = $yValues;
}