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In JMP, how do you adjust the parameterization of categorical variables in a regression model?

lyz6

Community Member

Joined:

Jun 22, 2016

In JMP, how to adjust the encoding of categorical variables in a regression model?

1 ACCEPTED SOLUTION

Accepted Solutions
jiancao

Staff

Joined:

Jul 7, 2014

Solution

Creating dummy variables is one approach. But if your model is standard least squares, there is an option called Indicator Parameterization Estimates that does just that.

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4 REPLIES
Peter_Bartell

Joined:

Jun 5, 2014

lyz6: Can you perhaps provide an example of what you mean by adjusting encoding of categorical variables in a regression model? It's not clear to me what you are trying to accomplish.

shoffmeister

Community Trekker

Joined:

Mar 27, 2015

As far as I know, if you want to use dummy-coding instead of effect-coding in your models you will have to create the dummy-variables manually.

In most recent versions of JMP you can do so by "Cols=>Utilities=>Make Indicator Columns". Then use the dummy-variables as factors in your model (of course you should only use all but one).

Hope that helps.

jiancao

Staff

Joined:

Jul 7, 2014

Solution

Creating dummy variables is one approach. But if your model is standard least squares, there is an option called Indicator Parameterization Estimates that does just that.

11876_pastedImage_2.png