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FUNCTION covariance (x , y ) {
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xmean := avg (x) ;
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ymean := avg (y) ;
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avg (( x - xmean ) * (y - ymean ))
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}
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FUNCTION sd ( x) {
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sqrt ( covariance (x , x) )
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}
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AGGREGATION FUNCTION covariances(x, y, w){
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static xmeans := 0, ymeans := 0, cnt := 0;
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if (cnt < w) { xmeans += x; }
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else {
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xmeans += (x - x.vec[cnt - w]) / w;
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ymeans += (y - y.vec[cnt - w]) / w;
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}
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avg (( x.vec(x.len-w, x.len) - xmean ) * (y.vec(y.len - w, y.len) - ymean ))
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}
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FUNCTION pairCorr (x , y ) {
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covariance (x , y ) / ( sd (x) * sd (y ))
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}
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CREATE TABLE test1(a INT, b INT, c INT, d INT)
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LOAD DATA INFILE "test.csv"
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INTO TABLE test1
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FIELDS TERMINATED BY ","
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SELECT pairCorr(c, b) * d, sum(a), b
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FROM test1
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group by c,b,d
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order by b ASC
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