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内容説明
`This book fits right into a needed niche: rigorous enough to give full explanation of the power of the S language， yet accessible enough to assign to social science graduate students without fear of intimidation. It is a tremendous balance of applied statistical ?firepower? and thoughtful explanation. it meets all of the important mechanical needs: each example is given in detail， code and data are freely available， and the nuances of models are given rather than just the bare essentials. It also meets some important theoretical needs: linear models， categorical data analysis， an introduction to applying GLMs， a discussion of model diagnostics and useful instructions on writing customized functions’ - Jeff Gill， University of Florida， Gainesville
Book Description
Features: * Various facilities of S are introduced as needed within the context of detailed examples. * Cumulative examples: Later examples often depend upon earlier ones， but examples in separate chapters are always independent of each other. * Asterisks note more demanding material that may be skipped without loss of continuity. * Boxes explain and highlight the many small differences between S-PLUS and R， and between S3 and S4， so that readers can quickly locate the material that is relevant to their version of S or skip that information. * A companion Web site features instructions for downloading， installing， and using the Windows version of R; add-on packages; versions of the car (companion to applied regression) library that includes the software and data sets described in the book; an appendix for various extensions of regression analysis not covered in the text; and downloadable scripts for all of the examples in the text.
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