Voir la source de R in Action

{{TechBooks
 |title=R in Action
 |isbn=1935182390
 |pageCount=375
 |publishedDate=2011-08-15T00:00:00.000-0700
 |thumbnailUrl=https://s3.amazonaws.com/AKIAJC5RLADLUMVRPFDQ.book-thumb-images/kabacoff.jpg
 |shortDescription=R in Action is the first book to present both the R system and the use cases that make it such a compelling package for business developers. The book begins by introducing the R language, including the development environment. As you work through various examples illustrating R's features, you'll also get a crash course in practical statistics, including basic and advanced models for normal and non-normal data, longitudinal and survival data, and a wide variety of multivariate methods. Both data mining methodologies and approaches to messy and incomplete data are included.
 |longDescription=The ability to interpret and act on the massive amounts of information locked in web and enterprise systems is critical to success in the modern business economy. R, a free software environment for statistical computing and graphics, is a comprehensive, fully-programmable package that empowers developers and analysts to capture, process, and respond intelligently to statistical information. It consists of the interpreted R language plus a run-time environment with graphics, a debugger, and the ability to run programs stored in script files. It compiles and runs on UNIX, Windows and Mac OS X, and has been extended with hundreds of add-on packages.    R in Action is the first book to present both the R system and the use cases that make it such a compelling package for business developers. The book begins by introducing the R language, including the development environment. As you work through various examples illustrating R's features, you'll also get a crash course in practical statistics, including basic and advanced models for normal and non-normal data, longitudinal and survival data, and a wide variety of multivariate methods. Both data mining methodologies and approaches to messy and incomplete data are included.    And data analysis is only half the story. You'll also master R's extensive graphical environment for presenting data. Along the way, the book presents many of R's most useful add-on modules. You'll also learn how to interface R with other software platforms and data management systems for maximum utility.
 |status=PUBLISH
 |authors=Robert I. Kabacoff
 |categories=Software Engineering
}}