Andrew Gelman's seminar on statistical graphics, Spring, 2006
This is a page for accessing material that will be discussed in our class. I'll add to it as necessary during the semester. This page is not intended to be any kind of complete set of papers or links on statistical graphics.
http://www.stat.columbia.edu/~gelman/graphics.course/
Quick summary
- Main textbook: R Graphics (Paul Murrell)
- Supplementary texts: The Elements of Graphing Data (Bill Cleveland), An R and S-Plus Companion to Applied Regressoin (John Fox), The Grammar of Graphics (Lee Wilkinson)
- Minimal goal of the class: To be able to make sensible and informative graphs: to know what to graph, and how to do it in R. Ultimately, to do a good job at this, you'll need to learn examples of good and bad practice and to understand some of the statistical theory and psychological experiments on graphics.
- Graphics are for communication to self and others. More often than you might think, these two goals can be achieved together.
More on the class
Schedule of topics and speakers
- Jan 20 Introduction (Andrew Gelman)
- Jan 27 Discussion of first homework (Andrew Gelman)
- Feb 3 Exploratory data anlysis (Dave Krantz)
- Feb 10 Dynamic graphics (Shahadat)
- Feb 17 Color (Aleks Jakulin)
- Feb 24 Network of concepts (Miriam)
- Mar 3 Dynamic graphics (Simon Urbanek)
- Mar 10 Planning or trying on experiment (Mariya and Masanao)
- Mar 24 Migration and public policy (Jeronimo)
- Mar 31 Graphics and statistical modeling (Andrew)
- Apr 7
- Apr 14 Imaging (Erica)
- Apr 21 Psychology of graphical perception (Barbara Tversky)
- Apr 24 ?
Material from class presentations
Barbara Tversky's papers on graphics and psychological perception
Seth Roberts's papers using graphics to do research in psychology
My papers on the theory, practice, and applications of statistical graphics
Web resources
Text editors to use with R
John Huber's paper on religion and politics
Back to Andrew Gelman's homepage.