Synopses & Reviews
R is a powerful language for statistical computing and graphics that can handle virtually any data-crunching task. It runs on all important platforms and provides thousands of useful specialized modules and utilities. This makes R a great way to get meaningful information from mountains of raw data.
R in Action, Second Edition is a language tutorial focused on practical problems. Written by a research methodologist, it takes a direct and modular approach to quickly give readers the information they need to produce useful results. Focusing on realistic data analyses and a comprehensive integration of graphics, it follows the steps that real data analysts use to acquire their data, get it into shape, analyze it, and produce meaningful results that they can provide to clients.
Purchase of the print book comes with an offer of a free PDF eBook from Manning. Also available is all code from the book.
Synopsis
Summary R in Action, Second Edition presents both the R language and the examples that make it so useful for business developers. Focusing on practical solutions, the book offers a crash course in statistics and covers elegant methods for dealing with messy and incomplete data that are difficult to analyze using traditional methods. You'll also master R's extensive graphical capabilities for exploring and presenting data visually. And this expanded second edition includes new chapters on time series analysis, cluster analysis, and classification methodologies, including decision trees, random forests, and support vector machines.
Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications.
About the Technology
Business pros and researchers thrive on data, and R speaks the language of data analysis. R is a powerful programming language for statistical computing. Unlike general-purpose tools, R provides thousands of modules for solving just about any data-crunching or presentation challenge you're likely to face. R runs on all important platforms and is used by thousands of major corporations and institutions worldwide.
About the Book
R in Action, Second Edition teaches you how to use the R language by presenting examples relevant to scientific, technical, and business developers. Focusing on practical solutions, the book offers a crash course in statistics, including elegant methods for dealing with messy and incomplete data. You'll also master R's extensive graphical capabilities for exploring and presenting data visually. And this expanded second edition includes new chapters on forecasting, data mining, and dynamic report writing.
What's Inside
- Complete R language tutorial
- Using R to manage, analyze, and visualize data
- Techniques for debugging programs and creating packages
- OOP in R
- Over 160 graphs
About the Author Dr. Rob Kabacoff is a seasoned researcher and teacher who specializes in data analysis. He also maintains the popular Quick-R website at statmethods.net.
Table of Contents
PART 1 GETTING STARTED- Introduction to R
- Creating a dataset
- Getting started with graphs
- Basic data management
- Advanced data management
PART 2 BASIC METHODS- Basic graphs
- Basic statistics
PART 3 INTERMEDIATE METHODS- Regression
- Analysis of variance
- Power analysis
- Intermediate graphs
- Resampling statistics and bootstrapping
PART 4 ADVANCED METHODS- Generalized linear models
- Principal components and factor analysis
- Time series
- Cluster analysis
- Classification
- Advanced methods for missing data
PART 5 EXPANDING YOUR SKILLS- Advanced graphics with ggplot2
- Advanced programming
- Creating a package
- Creating dynamic reports
- Advanced graphics with the lattice package available online only from manning.com/kabacoff2
Synopsis
DESCRIPTION
R is a powerful language for statistical computing and graphics that can handle virtually any data-crunching task. It runs on all important platforms and provides thousands of useful specialized modules and utilities. This makes R a great way to get meaningful information from mountains of raw data.
R in Action, Second Edition is language tutorial focused on practical problems. Written by a research methodologist, it takes a direct and modular approach to quickly give readers the information they need to produce useful results. Focusing on realistic data analyses and a comprehensive integration of graphics, it follows the steps that real data analysts use to acquire their data, get it into shape, analyze it, and produce meaningful results that they can provide to clients.
RETAIL SELLING POINTS
Step-by-step guide to practical data analysis
Gives quick access to the R language
Written by seasoned researcher
Uses over 130 graphics
AUDIENCE
This book is for social scientists, medical and pharmaceutical researchers, professors and students in quantitative fields, data analysts, data mining specialists, and statistical programmers who have a sense of what they want to do, but not how to do it in R.
ABOUT THE TECHNOLOGY
R is a powerful language for statistical computing and graphics that can handle virtually any data-crunching task. It runs on all important platforms and provides thousands of useful specialized modules and
About the Author
Robert I. Kabacoff, is a research methodologist, statistical consultant, and software developer with over 25 years of experience working with organizations in health care, financial services, manufacturing, behavioral sciences, government, and academia. As Vice President of Research for Management Research Group, he provides research and statistical programming for organizations in North America, Western Europe, Africa, and the Pacific Rim. For the past four years, he has managed an R tutorial website that receives approximately 11,000 visitors a day.