Beginning R offers anyone who needs to perform statistical analysis the information necessary to use R with confidence.
Discusses how to implement some basic statistical methods such as the t-test, correlation, and tests of association
Explains how to turn your graphs from merely adequate to simply stunning
Provides you with the ability to define complex analytical situations
Demonstrates ways to make and rearrange your data for easier analysis
Covers how to carry out basic regression as well as complex model building and curvilinear regression
Shows how to produce customized functions and simple scripts that can automate your workflow
Table of Contents
Chapter 1. Introducing R. What It Is and How to Get It
Chapter 2. Starting Out. Becoming Familiar with R
Chapter 3. Starting Out. Working With Objects
Chapter 4. Data. Descriptive Statistics and Tabulation
Chapter 5. Data. Distrib ution
Chapter 6. Si mple Hypothesis Testing
Chapter 7. Introduction to Graphical Analysis
Chapter 8. Formula Notation and Complex Statistic s
Chapter 9. Manipulating Data and Extracting Components
Chapter 10. Regression (Li near Modeling)
Chapter 11. More About Graphs
Chapter 12. Writing Your Own Scripts. Beginning to Program