LogarithmicBestFit.php

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<?php
 
namespace PhpOffice\PhpSpreadsheet\Shared\Trend;
 
class LogarithmicBestFit extends BestFit
{
    protected $bestFitType = 'logarithmic';
 
    public function getValueOfYForX($xValue)
    {
        return $this->getIntersect() + $this->getSlope() * log($xValue - $this->xOffset);
    }
 
    public function getValueOfXForY($yValue)
    {
        return exp(($yValue - $this->getIntersect()) / $this->getSlope());
    }
 
    public function getEquation($dp = 0)
    {
        $slope = $this->getSlope($dp);
        $intersect = $this->getIntersect($dp);
 
        return 'Y = ' . $slope . ' * log(' . $intersect . ' * X)';
    }
 
    private function logarithmicRegression(array $yValues, array $xValues, bool $const): void
    {
        $adjustedYValues = array_map(
            function ($value) {
                return ($value < 0.0) ? 0 - log(abs($value)) : log($value);
            },
            $yValues
        );
 
        $this->leastSquareFit($adjustedYValues, $xValues, $const);
    }
 
    public function __construct($yValues, $xValues = [], $const = true)
    {
        parent::__construct($yValues, $xValues);
 
        if (!$this->error) {
            $this->logarithmicRegression($yValues, $xValues, (bool) $const);
        }
    }
}