Abstract
A highly recommended book on how to do statistical data analysis using R or S-Plus. In the first chapters it gives an introduction to the S language. Then it covers a wide range of statistical methodology, including linear and generalized linear models, non-linear and smooth regression, tree-based methods, random and mixed effects, exploratory multivariate analysis, classification, survival analysis, time series analysis, spatial statistics, and optimization. The `on-line complements' available at the books homepage provide updates of the book, as well as further details of technical material.
Cite
CITATION STYLE
James, D. A., Venables, W. N., & Ripley, B. D. (1996). Modern Applied Statistics with S-PLUS. Technometrics, 38(1), 77. https://doi.org/10.2307/1268908
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