R in Action![]() 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 | |
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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 |
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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
- Thorough coverage of the R environment
- Introduction to statistical analysis
- Dozens of practical examples
- Author Rob Kabacoff has years of hands-on experience in data management and analysis using R
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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