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I'm a developer of data visualization methods, mainly in R, and an historian of data visualization. Here are some of my web sites:

• Main web site: datavis.ca Everything! Books, online papers, software, ...
• Milestones Project: datavis.ca/milestones The entire history of data visualization: timeline, images, references, ...
• Book web pages:
  • DDAR: Discrete Data Analysis with R
  • History of Data Visualization

See: packages for some descriptions and links to documentation.

• Multivariate linear models:

  • Hyphothesis-Error plots: heplots;
  • Canonical discriminant analysis: candisc;
  • Multivariate influence: mvinfluence;
  • Visualizing collinearity diagnostics: VisCollin;
  • Generalized ridge trace plots for ridge regression: genridge;
  • Matrix linear algebra: matlib;
  • Generalized ellipsoids: gellipsoid
  • Two-way tables a la Tukey: twoway

• Categorical data analysis:

  • Extensions of the vcd package: vcdExtra.
  • See also my course: Psy6136: Categorical Data Analysis
  • Nested dichotomies logistic regression: The nestedLogit package fits often simpler models for polytomous (multi-category) response date than multinomial models.

• Data:

  • Datasets in the history of statistics: HistData
  • Data from Andre-Michel Guerry, Moral Statistics of France: Guerry;
  • Word pools used in studies of learning and memory: WordPools
  • The Lahman Baseball Data archive: Lahman
  • Quotes on statistics: statquotes