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- How to select independent variable in mixed model (jmp 13)

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Apr 5, 2017 7:11 AM
(1697 views)

Hello,

I'm trying to run a mixed model in jmp 13 (not jmp pro) and need to add an independent variable. Does anyone know how to do this after selecting a "Fit Model" option?

Thank you in advance.

1 ACCEPTED SOLUTION

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The independent variable (or predictor, feature, or factor) is represented by a data column in your data table. Try this:

- Select
**Analyze**>**Fit Model**. - Select the column for the
**independent**variable. - Click
**Add**. (Note that you can make any linear predictor that you might need using Add, Cross, or one of the Macros with the Degree value.) - If this term is meant to be a random effect, then select it in the Effects list, click the red triangle next to Attributes, and select
**Random**.

This sequence will force JMP to use REML to estimate the parameters including the variance components.

Learn it once, use it forever!

3 REPLIES

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I'm sorry, but I'm not sure that I have understood your specific question. Perhaps this helps.

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The independent variable (or predictor, feature, or factor) is represented by a data column in your data table. Try this:

- Select
**Analyze**>**Fit Model**. - Select the column for the
**independent**variable. - Click
**Add**. (Note that you can make any linear predictor that you might need using Add, Cross, or one of the Macros with the Degree value.) - If this term is meant to be a random effect, then select it in the Effects list, click the red triangle next to Attributes, and select
**Random**.

This sequence will force JMP to use REML to estimate the parameters including the variance components.

Learn it once, use it forever!

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

Thank you very much for your replies!