The second edition of a bestselling textbook, Using R for Introductory
Statistics 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.
See What's New in the Second Edition:
- Increased emphasis on more idiomatic R provides a grounding in the
functionality of base R.
- Discussions of the use of RStudio helps new R users avoid as many
pitfalls as possible.
- Use of knitr package makes code easier to read and therefore easier to
reason about.
- Additional information on computer-intensive approaches motivates the
traditional approach.
- Updated examples and data make the information current and topical.
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.
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.
