Visualizing Categorical Data with SAS and R

• the Statistical Consulting Service at York University
• the GESIS Spring Seminar Series, Cologne, Germany, Mar 16-20, 2009

General Resources

Lecture notes and workshop files

Topics & lecture notes	SAS files	R files
1. Introduction & overview  1.1 Overview: Categorical data & graphics  1.2 Discrete distributions  1.3 Testing association	berkeley-freq.sas sexfun-cmh.sas	sexfun-chisq.R []
2. Two-way and n-way tables  2.1 2 x 2 tables  2.2 Two-way tables  2.3 Observer agreement  2.4 Correspondence analysis	berk-4fold.sas vision-sieve.sas msdiag-agree.sas mental-ca.sas	berk-4fold.R [] vision-sieve.R [] msdiag-agree.R [] mental-ca.R []
3. Mosaic displays & loglinear models  3.1 n-way tables: Models & graphs  3.2 Mosaics software  3.3 Structured tables	berkeley-glm.sas titanic-loglin.sas mentgen2.sas vision-quasi.sas	berkeley-glm.R [] titanic-loglin.R [] mental-glm.R [] vision-quasi.R []
4. Logit models & logistic regression  4.1 Logit models  4.2 Logistic regression models  4.3 Effect plots  4.4 Influence & diagnostic plots	berkeley-logit.sas arthritis-logistic.sas cowles-logistic.sas Arrests-logistic.sas cowles-effect.sas Arrests-effect.sas berkeley-diag.sas berkeley-diag-ods.sas	berkeley-logit.R [] arthritis-logistic.R [] cowles-logistic.R [] Arrests-logistic.R [] cowles-effect.R [] Arrests-effects.R [] berkeley-diag.R [] arthritis-diag.R []
5. Polytomous response models  5.1 Proportional odds models  5.2 Nested dichotomies  5.3 Generalized logits	arthritis-propodds.sas arthritis-propodds-ods.sas wlf-nested.sas wlf-glogit.sas	arthritis-propodds.R [] wlf-nested.R [] wlf-glogit.R []

Further reading

The main source for these materials is my book, Visualizing Categorical Data

If you want to learn more about categorical data analysis, there are several books and other resources I recommend:

• Agresti, A. (1990). Categorical Data Analysis. NY: Wiley. There is also a manual for R and S-plus users to accompany this text.
• Christensen, R. (1990). Log-Linear Models and Logistic Regressiona>. Springer-Verlag.
• Everitt, B. S. (1992). The Analysis of Contingency Tables, London: Chapman & Hall (Monograph 45).
• Stokes, M.E., Davis, C.S., and Koch, G.S. (1995). Categorical Data Analysis Using the SAS(R) System. Cary, NC: SAS Institute.
• Robert Hanneman's Generalized Linear Models
• Fox, John. Applied Regression Analysis and Generalized Linear Models, 2nd Ed. Sage, 2008.
• Fox & Weisberg An R Companion to Applied Regression, 2nd Ed., Sage, 2011. There is also a web page for the book, containing data files, R scripts and a collection of web appendices on other topics.