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Nov 12, 2015 8:04 AM
(744 views)

I've run an experiment and am doing a fit model. I am only concerned with the absolute magnitude of the response, but to get a good linear fit I have to include the sign of the response.

My question is if it's possible to run the fit model with the sign, but then have jmp display the absolute value in all the charts (interaction profiles, prediction profiler, etc.). That way it would be easier to see when the response is being minimized rather than trying to keep track of how close to zero it is.

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Nov 12, 2015 10:04 AM
(567 views)

If I understand your question, you want to fit the model to a response that ranges from negative to positive values but then plot the absolute value of the predicted response. If that interpretation is correct, then follow these steps:

- Fit the model as usual.
- Click the red triangle next to
**Response**and select**Save Columns**>**Prediction Formula**. - Select the new column in the data table and select
**Cols**>**Column Info...**. - Select the
**Formula**column property. - Click
**Edit Formula**. - While the red box surrounds the entire formula (your model), click the
**Numeric**function group and select**Abs**. - Click OK to dismiss the formula editor.
- Click OK to dismiss the column information dialog.

Now use this column in your plot.

Learn it once, use it forever!

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Nov 12, 2015 11:06 AM
(567 views)

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Nov 30, 2015 9:15 AM
(567 views)

I found a decent workaround for the prediction profiler (but not interaction plots, etc). I want to minimize the response, so using desirability functions I can set high desirability at 0 and low desirability on both positive and negative values. Now I can watch the desirability profile and drive things to a maximum that way while looking for interactions between factors.

Not a perfect solution, but fits 90% of my needs for now.