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Dec 20, 2017 12:28 AM
(1378 views)

Hi 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.

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Don'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.

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Don'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.

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Re: JMP DOE help on prediction profiler

Documentation 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

Jim

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Re: JMP DOE help on prediction profiler

Thank 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.

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Re: JMP DOE help on prediction profiler

To 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.