Using R for Introductory Statistics
John Verzani
- 518 pages
- English
- ePUB (mobile friendly)
- Available on iOS & Android
Using R for Introductory Statistics
John Verzani
About This Book
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:
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- 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.
Frequently asked questions
Information
1
1.1 What is data?
- Only about half the institutions could provide an estimate
- Of those that could, the range of prices went from $11,000 to $125,798
- Under the name āstudies,ā data is used to make a case about social policy (in two different ways!).
- To investigate variability in prices and transparency, data is collected and summarized.
- In an industry, data demonstrates that forward looking practices can have a substantial effect.
- Data and the information it contains is mined to establish a financial advantage.
1.2 Getting started with R
Installing R
http://cran.r-project.org/
. However, most users probably will install R from a distributed binary. These are also available from CRAN. For example, the Microsoft Windows binary is distributed as a self-extracting .exe
file. Simply download the file then install it as any other download. For Microsoft Windows users, the standard installation will create a desktop icon and start menu item for opening R. If started this way, R will open to its standard Microsoft Windows GUI, but we suggest using RSTUDIOĀ®, as described next.