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Other titles in the Chapman & Hall/CRC the R series:
Using R for Introductory Statisticsby John Verzani
Synopses & Reviews
Using R for Introductory Statistics presents a self-contained treatment of statistical topics and the intricacies of the R software. The pacing is such that students are able to master data manipulation and exploration before diving into more advanced statistical concepts. The book treats exploratory data analysis with more attention than is typical, includes a chapter on simulation, and provides a unified approach to linear models. This text lays the foundation for further study and development in statistics using R. Appendices cover installation, graphical user interfaces, and teaching with R, as well as information on writing functions and producing graphics.
Book News Annotation:
This text introduces the use of an open source computer language for statistical computing, similar to the S language developed at Bell Laboratories. The authors sought to make the work accessible to students in introductory applied-statistics classes and cover use of the software and select statistical topics. Chapters cover sampling distributions and the central limit theorem, simulation and the basics of defining functions, and traditional topics in statistical inference such as confidence intervals and linear models.
Annotation ©2004 Book News, Inc., Portland, OR (booknews.com)
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