Missing value handling for Ordinal variables in PartitionSuggestion: 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.
Data Blending and CleanupMass CustomizationRe: Missing value handling for Ordinal variables in PartitionIt 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.
Re: Missing value handling for Ordinal variables in Partition - Status changed to: ArchivedWe are archiving this request. If this is still important please comment with additional details and we will reopen. Thank you!
