O’Reilly Media | 2011 | ISBN: 1449303536 | 38 pages | How do you use R to import, manage, visualize, and analyze real-world data? With this short, hands-on tutorial, you learn how to collect online data, massage it into a reasonable form, and work with it using R facilities to interact with web servers, parse HTML and XML, and more. Rather than use canned sample data, you'll plot and analyze current home foreclosure auctions in Philadelphia.
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Springer, 2012. — 374 p. — (Use R!). — ISBN: 1461413648, 9781461413653. R by Example is an example-based introduction to the statistical computing environment that does not assume any previous familiarity with R or other software packages. R functions are presented in the context of interesting applications with real data. The purpose of this book is to illustrate a range of...
3rd Edition. — Cambridge University Press, 2010. — 565 p. — ISBN 0521762936. Introducing the R system, covering standard regression methods, then tackling more advanced topics, this book guides users through the practical, powerful tools that the R system provides. The emphasis is on hands-on analysis, graphical display, and interpretation of data. The many worked examples, from...
R is the world's most popular language for developing statistical software: Archaeologists use it to track the spread of ancient civilizations, drug companies use it to discover which medications are safe and effective, and actuaries use it to assess financial risks and keep economies running smoothly. The Art of R Programming takes you on a guided tour of software development...
Packt Publishing, 2010. — 300 p. — ISBN 1849512086. This guide uses an inventive role-playing approach to teaching the most effective data analysis techniques using R. Entertaining and involving, it comes with examples, screenshots, and code for fast learning. An easy introduction for people who are new to R, with plenty of strong examples for you to work through This book will...
O’Reilly Media, 2011. — 436 p. — ISBN 0596809158. With more than 200 practical recipes, this book helps you perform data analysis with R quickly and efficiently. The R language provides everything you need to do statistical work, but its structure can be difficult to master. This collection of concise, task-oriented recipes makes you productive with R immediately, with...
М.: Российский университет дружбы народов, 2010. — 207 с. R - это одновременно и свободно распространяемая программная среда с открытым кодом, развиваемая в рамках проекта GNU, и язык программирования для статистической обработки данных и работы с графикой. R можно применять везде, где нужна работа с данными. Это и сама математическая статистика во всех её приложениях, и первичный...
