Published by the Foundation for Open Access Statistics
Editors-in-chief: Bettina Grün, Torsten Hothorn, Edzer Pebesma, Achim Zeileis    ISSN 1548-7660; CODEN JSSOBK
Visualizing Experimental Designs for Balanced ANOVA Models using Lisp-Stat | Iversen | Journal of Statistical Software
Authors: Philip W. Iversen, Mervyn Marasinghe
Title: Visualizing Experimental Designs for Balanced ANOVA Models using Lisp-Stat
Abstract: The structure, or Hasse, diagram described by Taylor and Hilton (1981, American Statistician) provides a visual display of the relationships between factors for balanced complete experimental designs. Using the Hasse diagram, rules exist for determining the appropriate linear model, ANOVA table, expected means squares, and F-tests in the case of balanced designs. This procedure has been implemented in Lisp-Stat using a software representation of the experimental design. The user can interact with the Hasse diagram to add, change, or delete factors and see the effect on the proposed analysis. The system has potential uses in teaching and consulting.

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Paper: Visualizing Experimental Designs for Balanced ANOVA Models using Lisp-Stat     Download PDF (Downloads: 9290)
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DOI: 10.18637/jss.v013.i03

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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) or a GPL-compatible license.