# Books

## SAS System for Statistical Graphics

Publication information: Michael Friendly, SAS System for Statistical Graphics, First Edition, 1991,
Cary, NC: SAS Press, ISBN: 978-1-55544-441-9.

Publisher's web site: http://www.sas.com/apps/pubscat/bookdetails.jsp?pc=56143

### Links to further information

- Outline of The SAS System for Statistical Graphics, 1st Edition
- Statistical graphics for multivariate data(SUGI16 paper).
- Macro Programs from The SAS System for Statistical Graphics
- SAS Macros for Statistical Graphics
- Designer Graphics - Anatomy of Some SAS Macros for Statistical Graphics

## Visualizing Categorical Data

Publication information: Michael Friendly, Visualizing Categorical Data, 2000,
Cary, NC: SAS Press, ISBN: ISBN 1-58025-660-0.

Publisher's web site: http://www.sas.com/apps/pubscat/bookdetails.jsp?pc=56571

Graphical methods for quantitative data are well-developed and widely used, but comparable methods for categorical data (contingency tables, discrete response data) were neither. Visualizing Categorical Data was written to extend the full range of statistical graphics to such data. Many real applications are described and illustrated.

### Links to further information

- Local web page for Visualizing Categorical Data
- SAS Macros for Statistical Graphics
- Visualizing Categorical Data with SAS and R [Short course]
- The vcd package for R

## Visual Statistics

Publication information: Forrest W. Young, Pedro M. Valero-Mora and Michael Friendly,
Visual Statistics: Seeing Data with Dynamic Interactive Graphics, 2006,
New York, NY: Wiley Series in Probability and Statistics. ISBN: 978-0-471-68160-1

Publisher's web site: http://ca.wiley.com/WileyCDA/WileyTitle/productCd-0471681601.html

This book, Visual Statistics: Seeing Data with Dynamic Interactive Graphics, written with Forrest W. Young and Pedro Valero-Mora, describes a paradigm for doing statistical analysis in a purely visual way with dynamic interactive graphics. It illustrates these ideas using ViSta: The Visual Statistics System, freely-available on the internet.

### Links to further information

## Discrete Data Analysis with R

Publication information: Michael Friendly and David Meyer, Discrete Data Analysis with R: Visualization and Modeling Techniques for Categorical and Count Data, 2016,
Chapman and Hall/CRC, ISBN 9781498725835.

Publisher's web site: https://www.crcpress.com/9781498725835

The special nature of discrete variables and frequency data vis-a-vis statistical graphics is now more widely accepted, and many of these methods (e.g., mosaic displays, fourfold plots, diagnostic plots for generalized linear models) have become, if not main stream, then at least more widely used in research and teaching. This book provides an accessible introduction to the major methods of categorical data analysis for data exploration, statistical testing and statistical models. As opposed to more theoretical books, the goal here is to help the reader to translate theory into practical application, by providing skills and software tools for carrying out these methods.