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- Selecting Beta distribution for a Generalized Linear Model personality in JMP 12...

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Nov 17, 2016 10:15 AM
(2075 views)

I have many response variables (composition/abundance data) that have beta distributions and despite the fact that **JMP 12.1.0 Help** tells me "*The Generalized Regression personality enables you to specify a variety of distributions for your response variables. The distributions fit include normal, Cauchy, exponential, gamma, Beta, binomial..." *I can't select a Beta distribution when the GLM personality is slected. I only have 4 options I can choose from: normal, binomial, Piosson, and exponential. Does anyone know how to perform a GLM (mixed) for Beta distributed data in JMP 12? I also have a license for JMP 13 that I haven't yet installed and so if anyone know how to do that in 13, I would also be grateful. Thanks in advance.

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Another question: If I define my response variables as having a Beta distribution (via column properties), then should I select "Normal" for distribution and then select a logit link function? (since Beta distributions should be run with a logit link function in GLMs)

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I think you might be confusing the Generalized Regression subplatform with the Generalized Linear Model subplatform within the Fit Model personality dropdown menus. The beta distribution, as stated in the JMP documentation, is only supported in the Generalized Regression subplatform. Generalized Linear Model does not support that response functional form. And Generalized Regression is only supported in JMP Pro...your original post states only "JMP"...so you won't have access to the Generalized Regression subplatform if you are running JMP and not JMP Pro.

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Oct 12, 2018 11:24 AM
(211 views)
| Posted in reply to message from Peter_Bartell 11/17/2016 02:17 PM

Hello

With JMP 13 am I able to run Proc Glmx with a Beta Distribution?

Thank you,

KB

@Peter_Bartell wrote: