Description
Summary
R in Action, Second Edition presents both the R language and the examples that make it so useful for business developers. Specializing in 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 the usage of traditional methods. You can 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 strengthen 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 near to 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 around the world.
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. Specializing in practical solutions, the book offers a crash course in statistics, including elegant methods for dealing with messy and incomplete data. You can 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 focuses on data analysis. He also maintains the preferred Quick-R website at statmethods.net.
Table of Contents
- Introduction to R
- Creating a dataset
- Getting began with graphs
- Basic data management
- Advanced data management
- Basic graphs
- Basic statistics
- Regression
- Analysis of variance
- Power analysis
- Intermediate graphs
- Resampling statistics and bootstrapping
- Generalized linear models
- Principal components and factor analysis
- Time series
- Cluster analysis
- Classification
- Advanced methods for missing data
- Advanced graphics with ggplot2
- Advanced programming
- Creating a package
- Creating dynamic reports
- Advanced graphics with the lattice package to be had online only from manning.com/kabacoff2