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peripherad
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vendor
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phpoffice
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phpspreadsheet
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src
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PhpSpreadsheet
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Calculation
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Statistical
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Distributions
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F.php
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<?php namespace PhpOffice\PhpSpreadsheet\Calculation\Statistical\Distributions; use PhpOffice\PhpSpreadsheet\Calculation\ArrayEnabled; use PhpOffice\PhpSpreadsheet\Calculation\Exception; use PhpOffice\PhpSpreadsheet\Calculation\Information\ExcelError; class F { use ArrayEnabled; /** * F.DIST. * * Returns the F probability distribution. * You can use this function to determine whether two data sets have different degrees of diversity. * For example, you can examine the test scores of men and women entering high school, and determine * if the variability in the females is different from that found in the males. * * @param mixed $value Float value for which we want the probability * Or can be an array of values * @param mixed $u The numerator degrees of freedom as an integer * Or can be an array of values * @param mixed $v The denominator degrees of freedom as an integer * Or can be an array of values * @param mixed $cumulative Boolean value indicating if we want the cdf (true) or the pdf (false) * Or can be an array of values * * @return array|float|string * If an array of numbers is passed as an argument, then the returned result will also be an array * with the same dimensions */ public static function distribution($value, $u, $v, $cumulative) { if (is_array($value) || is_array($u) || is_array($v) || is_array($cumulative)) { return self::evaluateArrayArguments([self::class, __FUNCTION__], $value, $u, $v, $cumulative); } try { $value = DistributionValidations::validateFloat($value); $u = DistributionValidations::validateInt($u); $v = DistributionValidations::validateInt($v); $cumulative = DistributionValidations::validateBool($cumulative); } catch (Exception $e) { return $e->getMessage(); } if ($value < 0 || $u < 1 || $v < 1) { return ExcelError::NAN(); } if ($cumulative) { $adjustedValue = ($u * $value) / ($u * $value + $v); return Beta::incompleteBeta($adjustedValue, $u / 2, $v / 2); } return (Gamma::gammaValue(($v + $u) / 2) / (Gamma::gammaValue($u / 2) * Gamma::gammaValue($v / 2))) * (($u / $v) ** ($u / 2)) * (($value ** (($u - 2) / 2)) / ((1 + ($u / $v) * $value) ** (($u + $v) / 2))); } }