Categorical Data Analysis
Website for CATEGORICAL DATA ANALYSIS, 3rd edition
For the third edition of Categorical Data Analysis by Alan Agresti
(Wiley, to appear, fall 2012), this site contains (1) information on
the use of other software (SAS, R and S-plus, Stata, SPSS, and
others), (2) data sets for examples and many exercises (for many of
which, only excerpts were shown in the text itself), (3) short answers
for some of the exercises, (4) extra exercises that did not fit in the
text itself, and (5) corrections of errors in early printings of the
book. Also, there's (6) a seminar on the history of CDA, and (7) a
survey paper on Bayesian inference for CDA.
Here is a link to the webpage for
the Website for
2nd edition of Categorical Data Analysis, which is no longer
being updated.
1. Software Appendix
In this appendix we provide details about how to use R, SAS, Stata,
and SPSS statistical software for categorical data analysis, with
examples in many cases showing how to perform analyses discussed in
the text. This supplements the brief description found in Appendix A
of the "Categorical Data Analysis" text, 3rd edition, to be published
by Wiley, fall 2012. For each package, the material is organized by
chapter of presentation and refers to datasets analyzed in those
chapters. The full data sets are available at
datasets.
SAS
Go to SAS for discussion of SAS
for CDA, with illustrations for data sets in CDA.
R and S-Plus
Go to R for discussion of R for
CDA, and illustrations for data sets in CDA. This includes a link to
the manual that Dr. Laura Thompson prepared on the use of R and S-Plus
to conduct all the analyses in the 2nd edition of the CDA
text.
Stata
Go to Stata for discussion
of Stata for CDA.
SPSS
Go to SPSS for discussion
of SPSS for CDA.
Other software
Go to other software
for discussion of other software for CDA, such as StatXact
and LogXact.
2. Primary datasets:
Here are
datasets for many of
the main examples in the text, and for some of the exercises.
3. Selected answers:
Here is a pdf file of short solutions for some of the
exercises at the ends of the chapters. These are mainly the
solutions that were provided of some of the odd-numbered
exercises from the 2nd edition of the book.
4. Additional exercises:
Here is a pdf file containing Extra exercises, mainly
taken from the first two editions of the book.
5. Corrections:
6. History of CDA:
The final chapter gives a historical
tour of CDA. Here is
a
history of CDA seminar that I presented in September, 2009,
to the Boston chapter of the American Statistical Association, with
some discussion at the end of the talk on advances having a Boston
connection. To watch this, enter your email address and click on
Playback. (Scroll below toward the right and you'll see a highly
discretized copy of my presentation.)
7. Bayes:
David Hitchcock (Statistics Dept., Univ. of
South Carolina) and I wrote a survey paper
about Bayesian inference for
categorical data analysis that appeared in Statistical Methods
and Applications, the Journal of the Italian Statistical Society, in
2005 (volume 14, pages 297-330). It was partly a by-product of a very
nice summer that I spent in Florence, Italy. A somewhat longer
version of this paper is a UF technical
report in the Statistics Department at UF.
Copyright © 2012, Alan Agresti, Department of Statistics,
University of Florida.