DataVis.ca
Michael Friendly
York University
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
Companion web page for Discrete Data Analysis with R
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.