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Created:
Jun 22, 2016 2:24 PM
| Last Modified: Feb 14, 2018 7:39 AM
(11657 views)

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

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Created:
Jun 23, 2016 9:14 AM
| Last Modified: Oct 18, 2016 8:11 PM
(13542 views)
| Posted in reply to message from lyz6 06-22-2016

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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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.

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

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

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.

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

Created:
Jun 23, 2016 8:19 AM
| Last Modified: Oct 28, 2016 6:27 AM
(11538 views)
| Posted in reply to message from lyz6 06-22-2016

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Created:
Jun 23, 2016 9:14 AM
| Last Modified: Oct 18, 2016 8:11 PM
(13543 views)
| Posted in reply to message from lyz6 06-22-2016

**Indicator Parameterization Estimates** that does just that.

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