Manning Early
Access Program
R in Action
EARLY ACCESS EDITION
Data Analysis and Graphics with R
Robert I. Kabacoff

MEAP Began: August 2009
Softbound print: Fall 2010 | 375 pages
ISBN: 9781935182399

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Table of Contents, MEAP Chapters & Resources

Table of Contents         Resources 
Part 1 Getting started
 1. Introduction to R - FREE
 2 Creating a dataset - AVAILABLE
 3 Getting started with graphs - AVAILABLE
 4 Basic data management - AVAILABLE
 5 Advanced data management - AVAILABLE

Part 2 Basic statistics and graphs
 6 Basic graphs - AVAILABLE
 7 Basic statistics - AVAILABLE

Part 3 Intermediate statistics and graphs
 8 Multiple (linear) regression - AVAILABLE
 9 Analysis of variance - AVAILABLE
10 Power analysis - AVAILABLE
11 Intermediate graphs
12 Resampling statistics and bootstrapping
Part 4 Advanced statistics and graphs
13 Generalized linear models
14 Principal components and factor analysis
15 Other multivariate methods
16 Advanced methods for missing data
17 Advanced graphs

Appendix A Graphical user interfaces for R
Appendix B Customizing the startup environment
Appendix C Exporting data from R
Appendix D Creating publication quality output
Appendix E Matrix algebra with R
Appendix F Functions used in the book
Appendix G Working with large datasets
 

DESCRIPTION

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.

WHAT'S INSIDE

About the Author

Dr. Kabacoff is Vice President of Research for MRG, a global organizational development firm based in Portland Maine and Dublin Ireland. He has more than 20 years of experience providing research and statistical consultation to organizations in health care, financial services, manufacturing, behavioral sciences, government, and academia. Prior to joining MRG, Dr. Kabacoff was a professor of psychology at Nova Southeastern University in Florida, where he taught graduate courses in quantitative methods and statistical programming. For the past two years, he has managed Quick-R, an R tutorial website.

About the Early Access Version

This Early Access version of R in Action enables you to receive new chapters as they are being written. You can also interact with the authors to ask questions, provide feedback and errata, and help shape the final manuscript on the Author Online

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