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Missing value handling for Ordinal variables in Partition

Status: Archived Submitted by on ‎09-20-2018 04:57 PM
2 Comments (2 New)

Suggestion:  Please treat missing data (and missing value code data) for ordinal X/Factor variables the same as continuous X/Factor variables when the informative missing option is selected.  That is, test to see if missing is better grouped "high" or "low".  Right now, it appears to be treat the missing value (or missing value code) as an ordinal value and assign it accordingly. 

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2 Comments
Ryan_Gilmore
Community Manager Community Manager
Community Manager
‎10-26-2022 04:34 PM
‎10-26-2022 04:34 PM
Status changed to: Archived
We are archiving this request. If this is still important please comment with additional details and we will reopen. Thank you!
hengehold_da1
Level III
‎11-08-2022 01:33 PM
‎11-08-2022 01:33 PM

It appears to work in JMP 16 when the dependent variable is continuous, but when the dependent variable is ordinal, it appears to just put the missing value category of the ordinal predictor variable with the low category group in the split.  So, I think this is still an open ask.