I have been using JMP 11 for a little over a year now, and haven't figure out how to partition my data into training/validation sets for a multivariate discriminant analysis (i.e. train my model using a specific 2/3, then validate using the final 1/3). I also haven't been able to find help via other online resources. Any help on locating this feature?
Have you tried making a new column in your data set and initializing the new column and choosing Random followed by Random Indicator where you can specify the proportion that you desire for your split.
thank you for the response; though it seems I haven't made my issue clear:
I have my data partitioned into a training and validation set already, though I am unaware of the steps required to create the DA model with the training data, and then apply it to my validation set.
Sorry for my misunderstanding.
Perhaps this blog post submitted by Jeff Perkinson might help
And this from JMP help
It sounds like you have found the answer, but in case not I wanted to point out that discriminant analysis in JMP uses excluded rows as the validation set. So, once you've made your column to identify rows for training and validation, select all the validation rows and exclude them (you can select them all with Rows > Data Filter, or right click one validation cell, and use "Select Matching," then Rows > Exclude). Now, when you run DA JMP will automatically fit for both the training and validation sets, and give you classification statistics for your validation (excluded rows) set (see screenshot below).
Here's a link to the help page for validation in DA: Validation in Discriminant Analysis
I hope this helps!