JSM 2005 - Toronto

Abstract #304786

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Legend: = Applied Session, = Theme Session, = Presenter
Activity Number: 491
Type: Contributed
Date/Time: Thursday, August 11, 2005 : 8:30 AM to 10:20 AM
Sponsor: Section on Statistical Graphics
Abstract - #304786
Title: Computing and Visualizing Effects from Loglinear Models
Author(s): Oksana Yakhnenko*+ and Heike Hofmann
Companies: Iowa State University and Iowa State University
Address: 226 Atanasoff, Ames, IA, 50011, United States
Keywords: loglinear models ; data visualization ; multivariate categorical data
Abstract:

Loglinear models often are used to capture the dependencies between variables in multivariable data. Often, R-software is used to calculate the effects in the variable interaction. However, R-software output can be difficult to interpret when data has many variables. In this paper, we discuss computation of effects from loglinear models and present a tool to visualize effects computed from loglinear models using graphs. We also discuss interpretation of some of the visualization results.

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Revised March 2005