here is the gist of the project...

let's say we have 5 classrooms. 1 for each grade 1-5.

column one shows grade 1 - in this classroom there are three job or duty positions (chalkboard cleaner, sweeper and desk organizer). The other grades also have these duty positions.

Now say you view the graph and you notice that the 3rd grade class is short a board cleaner and you want to adjust the graph to "borrow" from another grade. Well as it ends up the 3rd grade cleaners have a few more skills than a 2nd or 1st grader can do so you can only borrow from a higher grade. Let's also imagine after borrowing all the 4th grade board cleaners you still need more. Well this graph used to intelligently cascade into the 5th grade and borrow from there. However it is no longer doing that. I am not overly concerned about the minimums at this point.

If you only have three data arrays (instead of the original 5) ...
Code:
bars.push({boxes:[[1, 10,  5], [2, 50,  6], [3, 10, 12]], id:"IMS"});
bars.push({boxes:[[1, 60, 10], [2, 50, 12], [3, 10,  5]], id:"IRE"});
bars.push({boxes:[[1, 30, 20], [2, 70, 10], [3, 15, 10]], id:"MP"});
//bars.push({boxes:[[1, 23, 20], [2, 30, 70], [3,  7, 10]], id:"DBM"});
//bars.push({boxes:[[1,  5,  5], [2, 70, 70], [3, 60, 10]], id:"IA"});
the hierarchy/cascading borrowing works fine. Add in more and things go a bit differently.

As for the reset it is broken somehow. I am thinking it is a naming issue of the MC's.

Does this shed a bit more light on the subject. I am sorry I left that out of the initial posting.

Thank you.