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Index
Cover
Half Title
Title Page
Copyright Page
Dedication
Table of Contents
Preface
About the Author
CHAPTER 1 R for Data Analysis
1.1 Introduction
1.2 Access R
1.3 Use R
1.4 R Graphs
1.5 Reproducible Code
1.6 Data
Worked Problems
CHAPTER 2 Read/Write Data
2.1 Quick Start
2.2 Read Data
2.3 More Data Formats
2.4 Variable Labels
2.5 Write Data
Worked Problems
CHAPTER 3 Edit Data
3.1 Quick Start
3.2 Edit Data
3.3 Transform Data
3.4 Recode Data
3.5 Sort Data
3.6 Subset Data
3.7 Merge Data
Worked Problems
CHAPTER 4 Categorical Variables
4.1 Quick Start
4.2 One Categorical Variable
4.3 Two Categorical Variables
4.4 Onward to the Third Dimension
Worked Problems
CHAPTER 5 Continuous Variables
5.1 Quick Start
5.2 Histogram
5.3 Summary Statistics
5.4 Scatter Plot and Box Plot
5.5 Density Plot
5.6 Time Plot
Worked Problems
CHAPTER 6 Means, Compare Two Samples
6.1 Quick Start
6.2 Evaluate a Single Group Mean
6.3 Compare Two Different Groups
6.4 Compare Dependent Samples
Worked Problems
CHAPTER 7 Compare Multiple Samples
7.1 Quick Start
7.2 One-way ANOVA
7.3 Randomized Block ANOVA
7.4 Two-way ANOVA
7.5 More Advanced Designs
Worked Problems
CHAPTER 8 Correlation
8.1 Quick Start
8.2 Relation of Two Numeric Variables
8.3 The Correlation Matrix
8.4 Non-parametric Correlation Coefficients
Worked Problems
CHAPTER 9 Regression I
9.1 Quick Start
9.2 The Regression Model
9.3 Residuals and Model Fit
9.4 Prediction Intervals
9.5 Outliers and Diagnostics
Worked Problems
CHAPTER 10 Regression II
10.1 Quick Start
10.2 The Multiple Regression Model
10.3 Indicator Variables
10.4 Logistic Regression
Worked Problems
CHAPTER 11 Factor/Item Analysis
11.1 Quick Start
11.2 Overview of Factor Analysis
11.3 Exploratory Factor Analysis
11.4 The Scale Score
11.5 Confirmatory Factor Analysis
11.6 Beyond the Basics
Worked Problems
Appendix: Standard R Code
Notes
References
Index
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