Beginning R: An Introduction to Statistical Programming

Front Matter....Pages i-xxiii
Chapter 1: Getting Star ted....Pages 1-13
Chapter 2: Dealing with Dates, Strings, and Data Frames....Pages 15-25
Chapter 3: Input and Output....Pages 27-34
Chapter 4: Control Structures....Pages 35-42
Chapter 5: Functional Programming....Pages 43-52
Chapter 6: Probability Distributions....Pages 53-65
Chapter 7: Working with Tables....Pages 67-72
Chapter 8: Descriptive Statistics and Exploratory Data Analysis....Pages 73-80
Chapter 9: Working with Graphics....Pages 81-92
Chapter 10: Traditional Statistical Methods....Pages 93-100
Chapter 11: Modern Statistical Methods....Pages 101-110
Chapter 12: Analysis of Variance....Pages 111-120
Chapter 13: Correlation and Regression....Pages 121-137
Chapter 14: Multiple Regression....Pages 139-161
Chapter 15: Logistic Regression....Pages 163-192
Chapter 16: Modern Statistical Methods II....Pages 193-213
Chapter 17: Data Visualization Cookbook....Pages 215-277
Chapter 18: High-Performance Computing....Pages 279-301
Chapter 19: Text Mining....Pages 303-320
Back Matter....Pages 321-327