R in Action Data analysis and graphics with R 3rd Edition by Robert I Kabacoff ISBN 1617296058 9781617296055

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ISBN 10: 1617296058 
ISBN 13: 9781617296055
Author: Robert I Kabacoff

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. 

R in Action Data analysis and graphics with R 3rd Table of contents:

Part 1. Getting started
Chapter 1. Introduction to R
Chapter 2. Creating a dataset
Chapter 3. Getting started with graphs
Chapter 4. Basic data management
Chapter 5. Advanced data management
Part 2. Basic methods
Chapter 6. Basic graphs
Chapter 7. Basic statistics
Part 3. Intermediate methods
Chapter 8. Regression
Chapter 9. Analysis of variance
Chapter 10. Power analysis
Chapter 11. Intermediate graphs
Chapter 12. Resampling statistics and bootstrapping
Part 4. Advanced methods
Chapter 13. Generalized linear models
Chapter 14. Principal components and factor analysis
Chapter 15. Time series
Chapter 16. Cluster analysis
Chapter 17. Classification
Chapter 18. Advanced methods for missing data
Part 5. Expanding your skills
Chapter 19. Advanced graphics with ggplot2
Chapter 20. Advanced programming
Chapter 21. Creating a package
Chapter 22. Creating dynamic reports
Afterword Into the rabbit hole
Appendix A. Graphical user interfaces
Appendix B. Customizing the startup environment
Appendix C. Exporting data from R
Appendix D. Matrix algebra in R
Appendix E. Packages used in this book
Appendix F. Working with large datasets
Appendix G. Updating an R installation

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Robert I Kabacoff,R,Action Data,analysis,graphics