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May 8, 2017 7:17 AM
(880 views)

Hi,

I am having issues trying to figure out the best way to average only the last five data points for each row identifier using jsl. I tried to set a sequence and then delete the first x points of the sequence, but the issue is that not each row identifier has the same number of rows. The number of identifiers is also subject to change based on the data pull.

Ex, for the following table I want to output the mean of just the last five points from A, B and C (but the identifier list could go all the way up to Z):

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May 8, 2017 7:52 AM
(1716 views)

Solution

Would something like this work?

avgs = Associative Array( dt:ID ); ids = avgs << get keys; For( i = 1, i <= N Items(ids), i++, these = As List( dt << get rows where( dt:ID == ids[i] ) ); If( N Items(these) < 5, n = N Items(these), n = 5; Remove From( these, 1, N Items(these) - n ); ); these = Matrix( these ); avgs[ids[i]] = Sum(dt:Value[these]) / n; ); Show(avgs);

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May 8, 2017 7:52 AM
(1717 views)

Would something like this work?

avgs = Associative Array( dt:ID ); ids = avgs << get keys; For( i = 1, i <= N Items(ids), i++, these = As List( dt << get rows where( dt:ID == ids[i] ) ); If( N Items(these) < 5, n = N Items(these), n = 5; Remove From( these, 1, N Items(these) - n ); ); these = Matrix( these ); avgs[ids[i]] = Sum(dt:Value[these]) / n; ); Show(avgs);

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May 8, 2017 11:55 AM
(857 views)

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May 8, 2017 12:23 PM
(852 views)

You can just create a new table using the keys and values of the associative array:

dtSummary = New Table( "Summary", New Column( "ID", "Character", Set Values( avgs << Get Keys ) ), New Column( "Average", "Numeric", Set Values( avgs << Get Values ) ) );

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May 8, 2017 1:46 PM
(847 views)