The following collapse functions take two input sequences, left and right, and produce the result sequence of type double where the computed scalar result is the first element.
The two input sequences must be of the same type. If the two input sequences are of different lengths the operation will be performed on only the number of elements in the shorter of the two sequences.
Please use the links in the following table for more detailed explanations of the functions:
seq_wsum( left, right ) The first element of the result sequence is the weighted sum of the two sequences: left and right seq_wavg( left, right ) The first element of the result sequence is the weighted average of the two sequences: left and right seq_cov( left, right ) The first element of the result sequence is the covariance of the two sequences: left and right seq_corr( left, right ) The first element of the result sequence is the correlation of the two sequences: left and right Example
Following is an example code snippet demonstrating the collapse functions:
-- seq_wsum, seq_wavg INSERT INTO SimpleSequence(testNumber,dVal1,dVal2) VALUES(5,'{2,3,4}','{1,2,4}'); SELECT dVal1,dVal2,seq_wsum(dVal1,dVal2) AS "wsum" FROM SimpleSequence WHERE testNumber=5; SELECT dVal1,dVal2,seq_wavg(dVal1,dVal2) AS "wavg" FROM SimpleSequence WHERE testNumber=5; dVal1{} dVal2{} wsum ------------------------------------------------------------------------- {2.000000, 3.000000, 4.000000} {1.000000, 2.000000, 4.000000} 24.000000 dVal1{} dVal2{} wavg ------------------------------------------------------------------------- {2.000000, 3.000000, 4.000000} {1.000000, 2.000000, 4.000000} 2.666667 -- seq_cov, seq_corr INSERT INTO SimpleSequence(testNumber,dVal1,dVal2) VALUES(6,'{2,3,5,7}','{3,3,5,9}'); SELECT dVal1,dVal2,seq_cov(dVal1,dVal2) AS "cov" FROM SimpleSequence WHERE testNumber=6; SELECT dVal1,dVal2,seq_corr(dVal1,dVal2) AS "corr" FROM SimpleSequence WHERE testNumber=6; dVal1{} dVal2{} cov ------------------------------------------------------------------------------ {2.000000, 3.000000, 5.000000, 7.000000} {3.000000, 3.000000, 5.000000, 9.000000} 4.500000 dVal1{} dVal2{} corr ------------------------------------------------------------------------------ {2.000000, 3.000000, 5.000000, 7.000000} {3.000000, 3.000000, 5.000000, 9.000000} 0.956689