Structured Sets of Graphs
Presented: Friday, November 3 , 2006
Speakers: Rich Heiberger and Burt Holland of Temple University, and Michael O’Connell of Insightful Corporation
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We present many examples of structured sets of graphs that convey and support statistical analyses. Structured sets of graphs can be drawn with any modern statistical software system with graphics capabilities.S-PLUS offers substantial capabilities for producing graphs customized to the particular needs and visions of the analyst.
We emphasize two basic paradigms for constructing structured graphs: Cartesian Products and the Trellis paradigm. Our graphical displays are designed for elementary to intermediate statistical analyses, but the graphs themselves are relatively sophisticated constructions. Our examples extend the concept of a structured presentation of plots of different sets of variables, or of different parametric transformations of the same set of variables. Several of the examples extend the interpretation of the model formula, that is, the semantics of the formula, to allow easier exposition of standard statistical techniques.
Richard M. Heiberger, Temple University
Burt Holland, Temple University
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Richard M. Heiberger and Burt Holland are both Professors in the Department of Statistics at Temple University and elected Fellows of the American Statistical Association. Richard M. Heiberger participated in the design of the S-PLUS linear model and analysis of variance commands while on research leave at Bell Labs in 1987-88 and has been closely involved as a beta tester and user of S-PLUS.
Burt Holland teaches the Temple course sequence that inspired us to write this text. He has made many research contributions to linear modeling and simultaneous statistical inference, and frequently serves as a consultant to medical investigators. |
Michael O'Connell,
Insightful Corporation
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Michael
O'Connell has been working in the medical device, diagnostics, pharmaceutical
and biotech arena for the past 15 years. Dr. O'Connell's background
and graduate work was in applied statistics and he has published more
than 40 papers on statistical methods and life science applications
including calibration, mixed models, and nonparametric regression.
He has also written several statistical software packages and libraries
using S-PLUS, R and SAS. Most recently he has been active in bioinformatics
and the statistical analysis of microarray data; and in the development
of tools for analysis and reporting of clinical and safety data from
S-PLUS.
Dr. O'Connell holds a Bachelors degree in Science from the University
of Sydney, a Masters degree in Statistics from the University of
New South Wales and a Ph.D. in Statistics from North Carolina State
University. |
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