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 Title Using R for Introductory Statistics
 Author(s) John Verzani
 Publisher: Chapman and Hall/CRC; 1 edition (November 29, 2004); eBook (2005)
 Paperback 154 pages
 eBook PDF (413 pages, 3.0 MB)
 Language: English
 ISBN10: 1584884509
 ISBN13: 9781584884507
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Book Description
The cost of statistical computing software has precluded many universities from installing these valuable computational and analytical tools. R, a powerful opensource software package, was created in response to this issue. It has enjoyed explosive growth since its introduction, owing to its coherence, flexibility, and free availability. While it is a valuable tool for students who are first learning statistics, proper introductory materials are needed for its adoption.
Using R for Introductory Statistics fills this gap in the literature, making the software accessible to the introductory student. The author presents a selfcontained 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. This is an ideal text for integrating the study of statistics with a powerful computational tool.
About the AuthorsN/A
 The R Programming Language
 Statistics, and SAS Programming
 Data Analysis and Data Mining
 Geographic Information System (GIS) and Web Mapping
 Using R for Introductory Statistics (John Verzani)
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