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Based on a condensed one-week course taught by the author, this text provides a concise introduction to the statistical software package R and its use in computational statistics. It covers the basics of R, including importing data, programming, and graphics. The author also explores data analysis, linear and nonparametric regression, residual diagnostic, statistical comparisons, and multivariate statistics. Integrating R code throughout, the text includes numerous examples and figures to illustrate the methods, provides all data sets and code on the R archive, and contains many exercises, enabling its use as a course text or for self-study.
Introduction. Bases. Involution. Comparison of Distributions. Dimensions 1,2,3-infinity. R as a Programming Language. Bibliography. Index.
StatLab, Heidelberg, Germany