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Jan 11, 2017 12:33 PM
(467 views)

I'm looking at the missing values report, and wish that I had a report like the Contingency analysis "contingency table". I would like to know the count of variable "a" that are missing as a function of the other values.

Im looking for something that would allow me to make a working model of the working value clustering so that I can know the probability of one variable having missing values as a function of other variables also having missing values. The clustering picture is nice, but I'm finding it hard to take apart.

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Jan 11, 2017 12:44 PM
(463 views)

You could create an indicator data column with a formula for two levels, missing and non-missing. Then you coulld use it in the Y role with the Cotingency platform.

Learn it once, use it forever!

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Jan 11, 2017 12:51 PM
(461 views)

I stacked my matrix, made a new column with a conditional formula "ismissing(data)" that was 1 for a missing and 0 for non-missing. I then re-assembled the array by splitting, made a multivariate plot and am looking at correlation and partial correlation tables.

It is a hack, but it gets me moving. I have some row indicators that I did not stack, so I was able to re-assemble it.

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