Hi benson.munyan,
You can do this with a "multiple series stack." For instance, in the example dataset below I have 4 subjects measured on two "series" -- variable 1 and variable 2 -- each measured at two time-points.
![7796_Screen Shot 2014-12-18 at 9.46.01 AM.png 7796_Screen Shot 2014-12-18 at 9.46.01 AM.png](https://community.jmp.com/t5/image/serverpage/image-id/1085i49C2F50886F372D7/image-size/medium?v=v2&px=400)
If I want to stack these data such that I have 8 rows, 2 for each subject, with separate columns for variable 1 and variable 2, we can check the box in Tables > Stack for "Multiple Series Stack." In this case, we have 2 series, and the columns are contiguous; that is, the multiple observations for each variable are next to each other, rather than interleaved (e.g. we don't have the columns like this: Var1-Time1, Var2-Time1, Var1-Time2, Var2-Time2).
Here is the set up for Tables > Stack.
![7797_Screen Shot 2014-12-18 at 9.46.15 AM.png 7797_Screen Shot 2014-12-18 at 9.46.15 AM.png](https://community.jmp.com/t5/image/serverpage/image-id/1086i0B68BF002564B3FA/image-size/medium?v=v2&px=400)
And here is the dataset this will produce:
![7798_Screen Shot 2014-12-18 at 9.46.25 AM.png 7798_Screen Shot 2014-12-18 at 9.46.25 AM.png](https://community.jmp.com/t5/image/serverpage/image-id/1087i7DDDF7ACE12B9D41/image-size/medium?v=v2&px=400)
To clean things up, I would rename "Data" to be "Var 1", and "Data 2" to be "Var 2." Then, I would select the "Label" column, and invoke Cols > Recode, and recode each level to be either Time 1 or Time 2, so you will have a variable identifying the time points. "Label 2" is redundant and can be deleted.
I hope this helps!
julian