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

Olga

New Contributor

Joined:

Apr 5, 2017

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

Accepted Solutions
markbailey

Staff

Joined:

Jun 23, 2011

Solution

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
ian_jmp

Staff

Joined:

Jun 23, 2011

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

markbailey

Staff

Joined:

Jun 23, 2011

Solution

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!
Olga

New Contributor

Joined:

Apr 5, 2017

Thank you very much for your replies!