**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 2. Introduction to R 3. Creating a dataset 4. Getting started with graphs 5. Basic data management 6. Advanced data management ## PART 2 BASIC METHODS 8. Basic graphs 9. Basic statistics ## PART 3 INTERMEDIATE METHODS 11. Regression 12. Analysis of variance 13. Power analysis 14. Intermediate graphs 15. Resampling statistics and bootstrapping ## PART 4 ADVANCED METHODS 17. Generalized linear models 18. Principal components and factor analysis 19. Time series 20. Cluster analysis 21. Classification 22. Advanced methods for missing data ## PART 5 EXPANDING YOUR SKILLS 24. Advanced graphics with ggplot2 25. Advanced programming 26. Creating a package 27. Creating dynamic reports 28. Advanced graphics with the lattice package available online only from manning.com/kabacoff2 "Essential to anyone doing data analysis with R, whether in industry or academia." Cristofer Weber, NeoGrid 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. 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. 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 This book/course is designed for readers who need to solve practical data analysis problems using the R language and tools. Some background in mathematics and statistics is helpful, but no prior experience with R or computer programming is required. Dr. Rob Kabacoff is a seasoned researcher who specializes in data analysis. He has taught graduate courses in statistical programming and manages the Quick-R website at statmethods.net. A go-to reference for general R and many statistics questions. George Gaines, KYOS Systems Inc. Accessible language, realistic examples, and clear code. Samuel D. McQuillin, University of Houston Offers a gentle learning curve to those starting out with R for the first time. Indrajit Sen Gupta, Mu Sigma Business Solutions NARRATED BY DALE OGDEN AND ROB KABACOFF
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.
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. Focusing on practical solutions, the book also offers a crash course in practical statistics and covers elegant methods for dealing with messy and incomplete data using features of R
