Mosaic Plots are Useful for Visualizing Low-Order Projections of Factorial Designs

Ulrike Grömping

The American Statistician, 2014, vol. 68, issue 2, 108-116

Abstract: Factorial experiments are widely used in industrial experimentation and other fields. Whenever a factorial experiment is not designed as a full factorial, but as a regular or nonregular fraction thereof, choice between competing designs and interpretation of experimental results should take into consideration how the experimental plan will confound experimental effects. This article proposes mosaic plots of low-order projections of factorial designs for visualizing confounding of low-order effects. Mosaic plots are particularly useful for design and analysis of orthogonal main effect plans. The R code for the creation of the plots in this article is available online in the supplementary material.

Date: 2014
References: View complete reference list from CitEc
Citations:

Downloads: (external link)
http://hdl.handle.net/10.1080/00031305.2014.896829 (text/html)
Access to full text is restricted to subscribers.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:taf:amstat:v:68:y:2014:i:2:p:108-116

Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/UTAS20

DOI: 10.1080/00031305.2014.896829

Access Statistics for this article

The American Statistician is currently edited by Eric Sampson

More articles in The American Statistician from Taylor & Francis Journals
Bibliographic data for series maintained by Chris Longhurst ().