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- Scripting average of last five points for each row type

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May 8, 2017 7:17 AM
(2592 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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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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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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Re: Scripting average of last five points for each row type

May 8, 2017 11:55 AM
(2569 views)
| Posted in reply to message from melaniedrake 05/08/2017 10:52 AM

Thank you! I was able to adapt this to what I needed. The next question is though, how can I spit these average values out to a summary table?

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Re: Scripting average of last five points for each row type

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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Re: Scripting average of last five points for each row type

Works like a charm, thanks!