Thank you for your post, Jim! I think now the Capability Analysis is understood! :)
Regarding the transformation from non-normal data to normality, I created an example (Test.jmp) which contains two timepoints and X as the non-normal variable. I followed your procedure:
1. Analyse -> Distribution
2. X as "Y, Columns" and Timepoint as "By"
3. I clicked on Distributions Timepoint -> Stack
4. For each timepoint, I clicked on the red triangle and "Continuous Fit -> Johnson SI"
5. I clicked on "Fitted Johnson SI -> Save Transformed"
Then JMP generated the column "Johnson SI Transform X By Timepoint"
So, that's the point: I tried to run your script that is in the top left of the Test.jmp, but nothing happened.
May you explain what I did wrong in that script, please?
PS: I would like that the Y column represents the normality of X after Johnson SI transformation.
Many thanks!
~Rei