Using R for Introductory Statistics (Chapman & Hall/CRC The R Series)

Using R for Introductory Statistics (Chapman & Hall/CRC The R Series)

<P>The second edition of a bestselling textbook, <B>Using R for Introductory Statistics </B>guides students through the basics of R, helping them overcome the sometimes steep learning curve. The author does this by breaking the material down into small, task-oriented steps. The second edition maintains the features that made the first edition so popular, while updating data, examples, and changes to R in line with the current version.</P><B> <P>See What’s New in the Second Edition:</P> <UL></B> <P> <LI>Increased emphasis on more idiomatic R provides a grounding in the functionality of base R.</LI> <LI>Discussions of the use of RStudio helps new R users avoid as many pitfalls as possible.</LI> <LI>Use of knitr package makes code easier to read and therefore easier to reason about.</LI> <LI>Additional information on computer-intensive approaches motivates the traditional approach.</LI> <LI>Updated examples and data make the information current and topical.</LI> <P></P></UL> <P></P> <P>The book has an accompanying package, UsingR, available from CRAN, R’s repository of user-contributed packages. The package contains the data sets mentioned in the text (data(package="UsingR")), answers to selected problems (answers()), a few demonstrations (demo()), the errata (errata()), and sample code from the text.</P> <P></P> <P>The topics of this text line up closely with traditional teaching progression; however, the book also highlights computer-intensive approaches to motivate the more traditional approach. The authors emphasize realistic data and examples and rely on visualization techniques to gather insight. They introduce statistics and R seamlessly, giving students the tools they need to use R and the information they need to navigate the sometimes complex world of statistical computing.</P>