JMP DOE help on prediction profilerHi all,
I am new to JMP DOE. I have a problem.
I have made my own set of runs without using JMP DOE tools. But I need to get the prediction profiler from that set. How to?
Please help, I cannot redo my experiments.
Thanks.
Re: JMP DOE help on prediction profilerTo add to my colleague @ian_jmp and @txnelson's comments, going forward using JMP for empirical modeling purposes, the JMP Prediction Profiler permeates many, many modeling platform methods within JMP. For example, a Prediction Profiler can be found in the tree based modeling methods in the Predictive Modeling platform or the modeling based subplatforms in the Consumer Research section as well.
Re: JMP DOE help on prediction profilerThank you very much for this. I don't know much about JMP yet really and this gave me additional knowledge.
I tried running my design in 'Fit Model' and then run the profiler and got what I need. Again, thanks.
Re: JMP DOE help on prediction profilerDocumentation on fitting models is readily available from the pull down menus
Help==>Books==>Fitting Linear Models
The excert below, from the book's Table of Contents, you can see there are lots of examples on how to setup the type of Fit Model you may need to use
Model Specification Specify Linear Models 31
Overview of the Fit Model Platform 32
Example of a Regression Analysis Using Fit Model 33
Launch the Fit Model Platform 36
Fit Model Launch Window Elements 37
Construct Model Effects 39
Fitting Personalities 45
Model Specification Options 47
Informative Missing 49
Validity Checks 50
Examples of Model Specifications and Their Model Fits 50
Simple Linear Regression 50
Polynomial in X to Degree k 51
Polynomial in X and Z to Degree k 52
Multiple Linear Regression 52
One-Way Analysis of Variance 53
Two-Way Analysis of Variance 54
Two-Way Analysis of Variance with Interaction 55
Three-Way Full Factorial 57
Analysis of Covariance, Equal Slopes 59
Analysis of Covariance, Unequal Slopes 60
Two-Factor Nested Random Effects Model 62
Three-Factor Fully Nested Random Effects Model 64
Simple Split Plot or Repeated Measures Model 65
Two-Factor Response Surface Model 66
Knotted Spline Effect 68
Re: JMP DOE help on prediction profilerDon't worry - So long as you have the results you can make some progress (though how much will depend on the design of your runs). In this case, the workflow in JMP requires that you fit some kind of model to your data (if you had generated a design via JMP you would have a saved script in the table to get you started with this step). Once you have a useful fit, the Prediction Profiler will be available in the report window. You can also elect to save the prediction formula(s) from the fit to the data table, then use the Prediction Profiler outside of the fitting platform.
Probably you need to fit some kind of linear model, so I would look at this aspect of Fit Model to start with.