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<?php |
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namespace devfym\IntelliPHP\Math; |
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use devfym\IntelliPHP\Data\DataFrame; |
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class Correlation |
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{ |
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/** |
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* @param $df |
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* @param $xColumn |
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* @param $yColumn |
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* @return float |
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* Get Pearson's Correlation Coefficient. |
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*/ |
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public static function pearson(DataFrame $df, $xColumn, $yColumn) : float |
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{ |
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$n = $df->getIndex(); |
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$x = 0; $y = 0; $xy = 0; $x2 = 0; $y2 = 0; |
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for ($i = 0; $i < $n; $i++) { |
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$cx = $df->{$xColumn}->get($i); |
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$cy = $df->{$yColumn}->get($i); |
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$x += $cx; |
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$y += $cy; |
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$xy += $cx * $cy; |
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$x2 += $cx * $cx; |
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$y2 += $cy * $cy; |
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} |
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$r = (($n * $xy) - ($x * $y)) / sqrt((($n * $x2) - ($x * $x)) * (($n * $y2) - ($y * $y))); |
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return round($r, 4); |
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} |
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/** |
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* @param DataFrame $df |
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* @param $xColumn |
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* @param $yColumn |
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* @return float |
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*/ |
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public static function spearman(DataFrame $df, $xColumn, $yColumn) : float |
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{ |
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$xValue = $df->{$xColumn}->all(); |
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$yValue = $df->{$yColumn}->all(); |
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$xSort = array_unique($xValue); |
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$ySort = array_unique($yValue); |
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rsort($xSort); |
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rsort($ySort); |
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$xRank = []; |
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$yRank = []; |
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$diffRank = 0; |
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for ($i = 0; $i < $df->getIndex(); $i++) { |
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$xR = array_keys($xSort, $xValue[$i]); |
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$yR = array_keys($ySort, $yValue[$i]); |
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$xRank[$i] = $xR[0] + 1; |
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$yRank[$i] = $yR[0] + 1; |
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$diffRank += pow($xRank[$i] - $yRank[$i], 2); |
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} |
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$p = 1 - ((6 * $diffRank) / ($df->getIndex() * (($df->getIndex() * $df->getIndex()) - 1))); |
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return round($p, 4); |
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} |
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/** |
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* @param DataFrame $df |
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* @param $xColumn |
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* @return float |
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*/ |
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public static function kendall(DataFrame $df, $xColumn) : float |
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{ |
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$concordant = []; |
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$discordant = []; |
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for ($i = 0; $i < $df->getIndex(); $i++) { |
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$concordant_count = 0; |
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$discordant_count = 0; |
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for ($j = $i + 1; $j < $df->getIndex(); $j++) { |
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if ($df->{$xColumn}->get($i) < $df->{$xColumn}->get($j)) { |
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$concordant_count++; |
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} |
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if ($df->{$xColumn}->get($i) > $df->{$xColumn}->get($j)) { |
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$discordant_count++; |
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} |
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} |
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$concordant[$i] = $concordant_count; |
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$discordant[$i] = $discordant_count; |
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} |
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$scon = array_sum($concordant); |
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$sdis = array_sum($discordant); |
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$t = ($scon - $sdis) / ($df->getIndex() * ($df->getIndex() - 1) / 2); |
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return round($t, 4); |
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} |
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/** |
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* @param DataFrame $df |
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* @return array |
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*/ |
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public static function pearsonAll(DataFrame $df) : array |
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{ |
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$arr = []; |
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$columns = $df->getNumericColumns(); |
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$numeric_count = count($columns); |
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for ($i = 0; $i < $numeric_count; $i++) { |
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for ($j = 0; $j < $numeric_count; $j++) { |
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$arr[$i][$j] = self::pearson($df, $columns[$i], $columns[$j]); |
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} |
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} |
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return $arr; |
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} |
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/** |
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* @param DataFrame $df |
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* @return array |
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*/ |
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public static function spearmanAll(DataFrame $df) : array |
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{ |
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$arr = []; |
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$columns = $df->getNumericColumns(); |
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$numeric_count = count($columns); |
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for ($i = 0; $i < $numeric_count; $i++) { |
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for ($j = 0; $j < $numeric_count; $j++) { |
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$arr[$i][$j] = self::spearman($df, $columns[$i], $columns[$j]); |
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} |
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} |
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return $arr; |
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} |
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} |