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<?php |
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namespace Innmind\ProvisionerBundle; |
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/** |
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* Small helper to linearize data points |
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*/ |
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class Math |
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{ |
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/** |
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* Determine slope and intercept variables of the affine function |
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* that best fit the given datapoints |
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* |
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* @param array $data Array keys as x axis and values as y axis |
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* |
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* @return array Like ['slope' => float, 'intercept' => float] |
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*/ |
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public static function linearRegression(array $data) |
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{ |
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$count = count($data); |
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$x = array_keys($data); |
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$y = array_values($data); |
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foreach ($x as &$value) { |
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$value = (float) $value; |
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} |
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foreach ($y as &$value) { |
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$value = (float) $value; |
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} |
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$xSum = array_sum($x); |
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$ySum = array_sum($y); |
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$xxSum = 0; |
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$xySum = 0; |
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for ($i = 0; $i < $count; $i++) { |
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$xySum += $x[$i] * $y[$i]; |
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$xxSum += $x[$i] * $x[$i]; |
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} |
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$slope = (($count * $xySum) - ($xSum * $ySum)) / (($count * $xxSum) - ($xSum * $xSum)); |
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$intercept = ($ySum - ($slope * $xSum)) / $count; |
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return [ |
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'slope' => $slope, |
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'intercept' => $intercept |
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]; |
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} |
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} |
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