O’Reilly Media2011ISBN: 144930353638 p. | 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.
Sign up or login using form at top of the page to download this file.
O’Reilly Media – 2012, 724 p., 2nd Edition ISBN: 144931208X, 9781449312084 If you’re considering R for statistical computing and data visualization, this book provides a quick and practical guide to just about everything you can do with the open-source R language and software environment. You’ll learn how to write R functions and use R packages to help you prepare, visualize,...
Springer, 2012. — 374 p. — (Series "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...
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,...
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...
Springer, 2008. — 148 p. — (Use R!). R is a rapidly evolving lingua franca of graphical display and statistical analysis of experiments from the applied sciences. Currently, R offers a wide range of functionality for nonlinear regression analysis, but the relevant functions, packages and documentation are scattered across the R environment. This book provides a coherent and...
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...
