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
- 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
PART 1 GETTING STARTED