Categorical Data Analysis
Website for CATEGORICAL DATA ANALYSIS, 2nd edition
For the second edition of Categorical Data Analysis by Alan Agresti
(Wiley, 2002), this site contains (1) information on the use of other
software (such as R and S-plus, Stata, SPSS, StatXact and LogXact) not
covered in Appendix A of the text (which discusses SAS in some
detail), (2) data sets for examples in the form of complete SAS
programs for conducting the analyses, (3) data sets used in some of
the homework exercises, (4) short answers for many of the odd-numbered
exercises, (5) extra exercises, and (6) corrections of errors in early
printings of the book. Also, there's (7) a review paper about
Bayesian methods for categorical data analysis.
1. Software for categorical data analyses: Here is a file containing
information and links for several software packages.
Dr. Laura Thompson has prepared a detailed manual on the use of R or S
to conduct all the analyses in the CDA text. You can get a copy of
this excellent resource
at Laura
Thompson R and S manual for CDA. Thanks very much to Dr. Thompson
for providing this manual. For my lower-level text, An Introduction
to Categorical Data Analysis (2nd ed. 2007), an especially useful
resource is the website
of Chris Bilder,
where the link to R has examples of the use of R for most chapters of
the text and the link to Schedule has course notes following the ICDA
text as well as imbedded R code and output.
2. Primary datasets: For data sets for many of the main examples in
the text, in the form of SAS programs for conducting the analyses,
click on
3. Other datasets not shown in text: Here is a pdf file of - other datasets used in some of
the homework exercises for which tables are not shown in the
text.
Here is a html file of these
4. Selected answers: Here is a pdf file of short - solutions for many of the
odd-numbered exercises at the ends of the chapters:
5. Additional exercises: Here is a pdf file containing
6. Corrections: Here is a pdf file
showing
7. Finally, for those of you with interest in the Bayesian approach to
inference -- I had intended to include a chapter in the second edition
on Bayesian analyses for categorical data analysis (to beef up the
short section in Chapter 15), but the book just became too long.
However, David Hitchcock (Statistics Dept., Univ. of South Carolina)
and I have written a survey paper about such methods:
A slightly shorter version of this technical report has appeared
in the journal of the Italian Statistical Society, Statistical Methods
and Applications, in 2005 (volume 14, pages 297-330)