Michael L Friendly

Professor

Associate Coordinator, Statistical Consulting Service

Locations / Contact Info:

226 BSB
Keele Campus
Phone: 416 736 2100 Ext. 66249

Email address(es):

friendly@yorku.ca

Web site(s):

Old home page
Data Visualization site
Discrete Data Analysis with R
Milestones Project

Faculty & School/Dept.

Faculty of Health - Department of Psychology

Degrees

B.S. - 1966
Rensselaer Polytechnic University
Troy, NJ

Ph.D. - 1972
Princeton University
Princeton, NJ

Selected Publications

See http://www.datavis.ca/papers/vita/ for a more complete list.


Books


Friendly, M. & Meyer, D. (2016). Discrete Data Analysis with R: Visualization and Modeling Techniques for Categorical and Count Data. Boca Raton, FL: Chapman & Hall/CRC.


Forrest W. Young, Pedro M. Valero-Mora, Michael Friendly (2006).  Visual Statistics: Seeing Data with Dynamic Interactive Graphics.  New York: Wiley.


Papers


Michael Friendly, Georges Monette, John Fox. Elliptical Insights: Understanding Statistical Methods Through Elliptical Geometry. Statistical Science, vol. 28, no. 1, pp. 1–39, 2013.


HE plots for Multivariate General Linear Models. Journal of Computational and Graphical Statistics, vol. 16, no. 2, pp. 421–444, 2007.


A.-M. Guerry's Moral Statistics of France: Challenges for Multivariable Spatial Analysis. Statistical Science, vol. 22, no. 3, pp. 368–399, 2007.

Supervision

Currently available to supervise graduate students: Yes

Currently taking on work-study students, Graduate Assistants or Volunteers: Yes

Available to supervise undergraduate thesis projects: Not Indicated

Current Research

The development of methods for statistical graphics and data analysis, with particular emphasis on graphical methods for categorical data. More detailed information on this work can be found in Michael Friendly's home page. Exploratory data analysis, interactive computing and psychological scaling. Human memory and learning, in particular with the organization and structure of information in memory and the relation between semantic memory and learning.