Hi @tbob ,
You're right, and I can confirm that this takes place. My apologies, I thought stratifying on the subset would be like stratifying when creating a validation column. In the case of creating a validation column, it's like as I described before, JMP tries to match the different data sets in order for them to have the same distribution, mean, standard deviation, etc.
Instead, looking up stratifying with Subsets, you can find the help page here, Where it describes that when making a subset the number of sample sizes is the number of samples per stratum. So, if you stratify on a column that has 4 levels, and you choose a sample size of 4, you get 4x4 = 16 rows in the subset because there are 4 levels (strata) and you selected 4 samples per strata.
You might try not using the stratify and then look at some statistics of your subset and main data table to make sure that the distributions are similar, or whatever you need to compare the subsets to make sure it represents the whole.
Alternatively, you could create a fake strata column where every entry is the same, say, setting all values to 1. Then you stratify on that column and select 9 as your sample size, and that should do it.
I get why it's done differently here, but I still find it a bit strange and non-intuitive, which is not normal on most JMP platforms.
Hope this helps!,
DS