DOE Custom Design Conituous Factor QuadraticI have a DOE that I have setup to test for curvature in a continuous factor and the centerpoint that JMP selected is different than what I want to test. For example:
Low: 20
Mid (JMP): 60; 50 is what I want to change it to
High: 100
I can manually adjust the values in the Table of the designed study but I am concerned that the Design Evaluation would then not be accurate (i.e. Power Analysis, Fraction of Design Space, VIF)
Is there a way to adjust the design earlier so that my Evaluation is accurate?
Design of ExperimentsRe: DOE Custom Design Conituous Factor QuadraticThen you should change the other levels so the design is balanced.Re: DOE Custom Design Conituous Factor QuadraticThe offset center point is to include the current setpoint in the study design.Re: DOE Custom Design Conituous Factor QuadraticThanks so muchRe: DOE Custom Design Conituous Factor QuadraticIf you want to check VIFs, just fill in your response column with any value. They can all be the same value even. Then ignore everything except the VIF numbers. The VIFs do not depend on the response values.
Keep in mind that the correlation of estimates is designed to give you an idea of the VIFs.
Re: DOE Custom Design Conituous Factor QuadraticI'm a bit late to the party, but I have a question: Why are you purposely setting a Center Point (which is intended to be the center of ALL continuous variables in the study) off-center? This introduces a bias that must be accounted for in the analysis. If the design is orthogonal, your VIF's will of course be 1.
Re: DOE Custom Design Conituous Factor QuadraticThanks Dan. That works well...to make adjustments and Re-evaluate design.
My only issue now is that I cannot make a table with simulated responses and evaluate VIF on Fit Model/Parameter estimates. I like to see that VIF is < 3 in addition to Design Evaluation Power Analysis and FDS. However, I think this will still work quite well.
Re: DOE Custom Design Conituous Factor QuadraticYou are correct that the Design Evaluation is not accurate. So, create the Design Data Table and make your changes. Then go to DOE > Design Diagnostics > Evaluate Design to get the correct evaluation associated with your design.
Alternatively, you could specify your factor to be a Discrete Numeric where you specify the level. Make sure to change the quadratic to be Necessary instead of If Possible.
