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:
- Psy 6135 Psychology of Data Visualization
- Psy 6136 Categorical Data Analysis
See: packages for some descriptions and links to documentation.
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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
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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.
- Mosaic plots in the ggplot2 framework, extended to show fitted loglinear models: ggmosaic2
- Fourfold displays of 2 x 2 (x k) tables for ggplot2: ggfourfold (with Gavin Klorfine)
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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
- ggplot2 color palettes and themes from Cheysson's Albums de Statistique Graphique: ggCheysson
- Datasets from Efron & Hastie's Computer Age Statistical Inference: CASIdata
- Render text in color in R Markdown/Quarto documents: colorize