jb-data.de/lib/PhpSpreadsheet/Calculation/Statistical/Distributions/Exponential.php
2025-08-11 22:23:30 +02:00

54 lines
2.1 KiB
PHP

<?php
namespace PhpOffice\PhpSpreadsheet\Calculation\Statistical\Distributions;
use PhpOffice\PhpSpreadsheet\Calculation\ArrayEnabled;
use PhpOffice\PhpSpreadsheet\Calculation\Exception;
use PhpOffice\PhpSpreadsheet\Calculation\Information\ExcelError;
class Exponential
{
use ArrayEnabled;
/**
* EXPONDIST.
*
* Returns the exponential distribution. Use EXPONDIST to model the time between events,
* such as how long an automated bank teller takes to deliver cash. For example, you can
* use EXPONDIST to determine the probability that the process takes at most 1 minute.
*
* @param mixed $value Float value for which we want the probability
* Or can be an array of values
* @param mixed $lambda The parameter value as a float
* Or can be an array of values
* @param mixed $cumulative Boolean value indicating if we want the cdf (true) or the pdf (false)
* Or can be an array of values
*
* @return array|float|string If an array of numbers is passed as an argument, then the returned result will also be an array
* with the same dimensions
*/
public static function distribution(mixed $value, mixed $lambda, mixed $cumulative): array|string|float
{
if (is_array($value) || is_array($lambda) || is_array($cumulative)) {
return self::evaluateArrayArguments([self::class, __FUNCTION__], $value, $lambda, $cumulative);
}
try {
$value = DistributionValidations::validateFloat($value);
$lambda = DistributionValidations::validateFloat($lambda);
$cumulative = DistributionValidations::validateBool($cumulative);
} catch (Exception $e) {
return $e->getMessage();
}
if (($value < 0) || ($lambda < 0)) {
return ExcelError::NAN();
}
if ($cumulative === true) {
return 1 - exp(0 - $value * $lambda);
}
return $lambda * exp(0 - $value * $lambda);
}
}