Fixed Effects (generalized linear mixed models)
Fixed effects factors are generally thought of as fields whose values of interest are all represented in the dataset, and can be used for scoring. By default, fields with the predefined input role that are not specified elsewhere in the dialog are entered in the fixed effects portion of the model. Categorical (nominal, and ordinal) fields are used as factors in the model and continuous fields are used as covariates.
Enter effects into the model by selecting one or more fields in the source list and dragging to the effects list. The type of effect created depends upon which hotspot you drop the selection.
- Main. Dropped fields appear as separate main effects at the bottom of the effects list.
- 2-way. All possible pairs of the dropped fields appear as 2-way interactions at the bottom of the effects list.
- 3-way. All possible triplets of the dropped fields appear as 3-way interactions at the bottom of the effects list.
- *. The combination of all dropped fields appear as a single interaction at the bottom of the effects list.
Buttons to the right of the Effect Builder allow you to perform various actions.
| Icon | Description |
|---|---|
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Delete terms from the fixed effects model by selecting the terms you want to delete and clicking the delete button. |
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Reorder the terms within the fixed effects model by selecting the terms you want to reorder and clicking the up or down arrow. |
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Add nested terms to the model using the Add a Custom Term (generalized linear mixed models) dialog, by clicking on the Add a Custom Term button. |
Include Intercept. The intercept is usually included in the model. If you can assume the data pass through the origin, you can exclude the intercept.