1 | <?php |
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2 | |||
3 | namespace Innmind\ProvisionerBundle; |
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4 | |||
5 | /** |
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6 | * Small helper to linearize data points |
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7 | */ |
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8 | class Math |
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9 | { |
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10 | /** |
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11 | * Determine slope and intercept variables of the affine function |
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12 | * that best fit the given datapoints |
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13 | * |
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14 | * @param array $data Array keys as x axis and values as y axis |
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15 | * |
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16 | * @return array Like ['slope' => float, 'intercept' => float] |
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17 | */ |
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18 | 6 | public static function linearRegression(array $data) |
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19 | { |
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20 | 6 | $count = count($data); |
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21 | 6 | $x = array_keys($data); |
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22 | 6 | $y = array_values($data); |
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23 | |||
24 | 6 | foreach ($x as &$value) { |
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25 | 6 | $value = (float) $value; |
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26 | 6 | } |
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27 | |||
28 | 6 | foreach ($y as &$value) { |
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29 | 6 | $value = (float) $value; |
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30 | 6 | } |
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31 | |||
32 | 6 | $xSum = array_sum($x); |
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33 | 6 | $ySum = array_sum($y); |
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34 | 6 | $xxSum = 0; |
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35 | 6 | $xySum = 0; |
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36 | |||
37 | 6 | for ($i = 0; $i < $count; $i++) { |
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38 | 6 | $xySum += $x[$i] * $y[$i]; |
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39 | 6 | $xxSum += $x[$i] * $x[$i]; |
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40 | 6 | } |
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41 | |||
42 | 6 | $slope = (($count * $xySum) - ($xSum * $ySum)) / (($count * $xxSum) - ($xSum * $xSum)); |
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43 | 6 | $intercept = ($ySum - ($slope * $xSum)) / $count; |
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44 | |||
45 | return [ |
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46 | 6 | 'slope' => $slope, |
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47 | 'intercept' => $intercept |
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48 | 6 | ]; |
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49 | } |
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50 | } |
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51 |