The cost of statistical computing software has precluded many universities from installing these valuable computational and analytical tools. R, a powerful open-source 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 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. This is an ideal text for integrating the study of statistics with a powerful computational tool.
The author has made a very serious effort to introduce entry-level students of statistics to the open-source software package R. One mistake most authors of similar texts make is to assume some basic level of familiarity, either with the subject to be taught, or the tool (the software package) to be used in teaching the subject. This book does not fall into either trap. ... the examples and exercises are well-chosen ...
―MAA Reviews, October 2010
...The book presents each new concept in a gentle manner. Numerous examples serve to illustrate both the R commands and the general statistical concepts. ... Every chapter contains sample code for plotting ... The book also has a rich supply of homework problems that are straightforward and data-focused ... Overall, I found the book enjoyable to read. Even as an experienced user of R, I learned a few things. ... Without hesitation I would use it for an introductory statistics course or an introduction to R for a general audience. Indeed, Verzani's book may prove a useful travel guide through the sometimes exasperating territory of statistical computing.
―E. Andres Houseman (Harvard School of Public Health),
Statistics in Medicine, Vol. 26, 2007
This book sets out to kill two birds with one stone-introducing R and statistics at the same time. The author accomplishes his twin goals by presenting an easy-to-follow narrative mixed with R codes, formulae, and graphs ... [He] clearly has a great command of R, and uses its strength and versatility to achieve statistical goals that cannot be easily reached otherwise ... this book contains a cornucopia of information for beginners in statistics who want to learn a computer language that is positioned to take the statistics world by storm.
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Significance, September 2005
Anyone who has struggled to produce his or her own notes to help students use R will appreciate this thorough, careful and complete guide aimed at beginning students.
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Journal of Statistical Software, November 2005
This is an ideal text for integrating the study of statistics with a powerful computation tool.
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Zentralblatt MATH
