Average Reviews:
(More customer reviews)I found this book to be a good basic regression book that covers the basics and gives liberal examples with code, and points out differences between R, S-Plus, S3 and S4. The book does give some general background material on the basic systems, like working with arrays, matrices, writing programs and other basic details. Book also covers data transformation, linear models, generalized linear models, model diagnostics and graphing.
Fox is a sociologist and the examples come from his line of work, however this does not degrade the books ability to show regression modelling using R or S. Except for the specific examples the book plus the extra chapters available on the books website more or less covered what was covered in my graduate engineering regression class.
Topics such as nonlinear, robust, resampling, time series, nonparametric, while not covered in the book, chapters are however provided on the books website and appear to the same quality as what is in the rest of the book. Scripts for all the chapters, including the online-only chapters, are also available on the website.
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"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
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