Hi @LEP,
There is a trick to adding random blocks to split-plot designs in the Custom Design platform. The idea is to create an additional dummy factor that is a different level of "hard to change" than your other split plot factors, and then delete all the instances of that factor from the specified model terms. The result is you still get the random blocks for that dummy factor (which is all you really wanted), and then the dummy factor column can be deleted.
How you designate your factors, including the dummy, as "hard" or "very hard" depends on the nesting order. If you want to vary your hard to change factors within the random blocks, then make the dummy factor "very hard" and your other factors "hard". Otherwise, do the reverse.
In this case, you might actually want to do strip-plot to get the structure you want. To do that, you'll need to make the dummy factor "hard" and the real hard to change factors "very hard", check the box "Hard to change factors can vary independently of Very Hard to change factors". Specify some multiple of 4 for Whole Plots, and exactly 4 for subplots (these will be your "quadrant" random block), and then some multiple of the number of whole plots for the number of runs. I used 16 whole plots, 4 subplots (only works because I checked that box), and 64 runs. The resulting design is attached.![CustomDesign1.PNG CustomDesign1.PNG](https://community.jmp.com/t5/image/serverpage/image-id/11430i387C938D503BD8D4/image-size/large?v=v2&px=999)
![CustomDesign2.PNG CustomDesign2.PNG](https://community.jmp.com/t5/image/serverpage/image-id/11429iBE8F811AF7800BB2/image-size/large?v=v2&px=999)
After renaming the column "Subplots" to "Quadrant", and deleting the dummy factor column, the run sheet looks like this. Notice that you get all 4 quadrants within each whole plot.![Result.PNG Result.PNG](https://community.jmp.com/t5/image/serverpage/image-id/11431i88D5EF56DAED4F4B/image-size/large?v=v2&px=999)
-- Cameron Willden