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Authors: John Fox
Title: [download]
(36627)
Effect Displays in R for Generalised Linear Models
Reference: Vol. 8, Issue 15, Jul 2003
Submitted 2003-04-29, Accepted 2003-07-22
Type: Article
Abstract:

This paper describes the implementation in R of a method for tabular or graphical display of terms in a complex generalised linear model. By complex, I mean a model that contains terms related by marginality or hierarchy, such as polynomial terms, or main effects and interactions. I call these tables or graphs effect displays. Effect displays are constructed by identifying high-order terms in a generalised linear model. Fitted values under the model are computed for each such term. The lower-order "relatives" of a high-order term (e.g., main effects marginal to an interaction) are absorbed into the term, allowing the predictors appearing in the high-order term to range over their values. The values of other predictors are fixed at typical values: for example, a covariate could be fixed at its mean or median, a factor at its proportional distribution in the data, or to equal proportions in its several levels. Variations of effect displays are also described, including representation of terms higher-order to any appearing in the model.

Paper: [download]
(36627)
Effect Displays in R for Generalised Linear Models
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Resources: BibTeX | OAI
Creative Commons License
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Paper: Creative Commons Attribution 3.0 Unported License
Code: GNU General Public License (at least one of version 2 or version 3)
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