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Mar 19, 2013 5:55 AM
(967 views)

Sorry for the basic questions -- trying to figure out JMP. I have scoured the manuals but can't seem to find the answer.

I have the fit below -- with the 95% individual confidence intervals turned on. I am trying to calculate the exact numbers, i.e. @ Y=.60 what is the lower line X value.... it is close to X=.005. I need to be able to calculate it for any Y value -- similar to how the inverse predictor works. Please let me know if you need any more info...

Thanks in advance

1 ACCEPTED SOLUTION

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Solution

1. Instead of Fit Y by X use Fit Model. In the Fit Model dialog you can specify the Log transform for "y axis" and "x axis" using the "Transform" red triangle pull down.

2. In the output window use the red triangle pull down next to "Response Log(y axis)" and choose Save Columns > "Indiv Confidence Limit Formula". This places formulas for the upper and lower 95% CL for Individuals in the table.

3. In JMP using the menus choose Graph > Profiler.

4. In the Profiler select the lower CL formula for "Y, Prediction Formula" and click OK.

5. In the resulting window click the red triangle pull down next to "Prediction Profiler" and choose "Desirability Functions"

6. Alt click the Desirability Function and change it to "Match Target" and then set the middle value to be your target (0.6 in your example

7. Click the red triangle pull down next to "Prediction Profiler" and choose Maximize Desirability

In your example you should be able to see the result (0.0048582) on the horizontal axis label and the achieved target (0.6) on the vertical axis.

2 REPLIES

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1. Instead of Fit Y by X use Fit Model. In the Fit Model dialog you can specify the Log transform for "y axis" and "x axis" using the "Transform" red triangle pull down.

2. In the output window use the red triangle pull down next to "Response Log(y axis)" and choose Save Columns > "Indiv Confidence Limit Formula". This places formulas for the upper and lower 95% CL for Individuals in the table.

3. In JMP using the menus choose Graph > Profiler.

4. In the Profiler select the lower CL formula for "Y, Prediction Formula" and click OK.

5. In the resulting window click the red triangle pull down next to "Prediction Profiler" and choose "Desirability Functions"

6. Alt click the Desirability Function and change it to "Match Target" and then set the middle value to be your target (0.6 in your example

7. Click the red triangle pull down next to "Prediction Profiler" and choose Maximize Desirability

In your example you should be able to see the result (0.0048582) on the horizontal axis label and the achieved target (0.6) on the vertical axis.

- Mark as New
- Bookmark
- Subscribe
- Subscribe to RSS Feed
- Get Direct Link
- Email to a Friend
- Report Inappropriate Content

Mar 19, 2013 12:42 PM
(743 views)