{"product_id":"9781466590731","title":"Using R for Introductory Statistics","description":"\u003cp\u003eThe second edition of a bestselling textbook, \u003cb\u003eUsing R for Introductory Statistics \u003c\/b\u003eguides 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.\u003c\/p\u003e\u003cp\u003e\u003cb\u003e\u003c\/b\u003e\u003c\/p\u003e\u003cp\u003eSee What’s New in the Second Edition:\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cul\u003e\n\u003cli\u003eIncreased emphasis on more idiomatic R provides a grounding in the functionality of base R.\u003c\/li\u003e\n\u003cli\u003eDiscussions of the use of RStudio helps new R users avoid as many pitfalls as possible.\u003c\/li\u003e\n\u003cli\u003eUse of knitr package makes code easier to read and therefore easier to reason about.\u003c\/li\u003e\n\u003cli\u003eAdditional information on computer-intensive approaches motivates the traditional approach.\u003c\/li\u003e\n\u003cli\u003eUpdated examples and data make the information current and topical.\u003c\/li\u003e\n\u003cp\u003e\u003c\/p\u003e\n\u003c\/ul\u003e\u003cp\u003eThe 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.\u003c\/p\u003e\u003cp\u003eThe 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.\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e","brand":"Taylor \u0026 Francis","offers":[{"title":"Default Title","offer_id":48297813770480,"sku":"9781466590731","price":59.95,"currency_code":"USD","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0737\/7593\/9824\/files\/9781466590731_p0.jpg?v=1764103225","url":"https:\/\/shop-qa.barnesandnoble.com\/products\/9781466590731","provider":"Barnes \u0026 Noble (DEV)","version":"1.0","type":"link"}