Dear JMP team,
I am planning an experiment, where I have two categories of molecules (categoryA and categoryB). Both have two possible molecule candidates each: categoryA = {molA1, molA2} and categoryB = {molB1, molB2}. I would also like to model the concentration of each molecule as independent factor.
I was first thinking to add two continuous factors like ConcentrationCategoryA and ConcentrationCategoryB. Here comes my first question. I have different high and low concentrations for the four molecules. Is it feasible to just use in the designs +1 and -1 as usual and just later on adapt the design table with the real (but different values), or do I somehow skew the design space with this.
Second I came up with the idea to add for each molecule one continuous concentration factor, resulting in 6 additional factors. In this case I get designs in which categoryA == molA2 and at the same time molA1 == +1. But since molA2 has been "chosen" it doesn't make sense to code for molA1 at all. Ideally it would have some kind of a "-" or NA. How can I build this and still have a solid design?
Due to time and device constraints I have only one run with max 48 experiments. Next steps will be validation in a larger scale set-up
Thanks a lot for your help,
Tom
