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| SAS | SPSS |
Stata | R |
Chapter title | |
| Chapter 1 | What is multivariate analysis? | ||||
| Chapter 2 | Characterizing data for analysis | ||||
| Chapter 3 | Preparing for data analysis | ||||
| Chapter 4 | Data screening and transformations | ||||
| Chapter 5 | Selecting appropriate analyses | ||||
| Chapter 6 | Chapter 6 | Chapter 6 | Chapter 6 | Chapter 6 | Simple regression and correlation |
| Chapter 7 | Chapter 7 | Chapter 7 | Chapter 7 | Chapter 7 | Multiple regression and correlation |
| Chapter 8 | Variable selection in regression | ||||
| Chapter 9 | Special regression topics | ||||
| Chapter 10 | Chapter 10 | Chapter 10 | Chapter 10 | Canonical correlation analysis | |
| Chapter 11 | Chapter 11 | Chapter 11 | Chapter 11 | Discriminant analysis | |
| Chapter 12 | Chapter 12 | Chapter 12 | Chapter 12 | Chapter 12 | Logistic regression |
| Chapter 13 | Chapter 13 | Chapter 13 | Chapter 13 | Chapter 13 | Regression analysis with survival data |
| Chapter 14 | Chapter 14 | Chapter 14 | Chapter 14 | Chapter 14 | Principal components analysis |
| Chapter 15 | Chapter 15 | Chapter 15 | Chapter 15 | Factor analysis | |
| Chapter 16 | Chapter 16 | Chapter 16 | Chapter 16 | Chapter 16 | Cluster analysis |
| Chapter 17 | Chapter 17 | Chapter 17 | Chapter 17 | Chapter 17 | Log-linear analysis |
| Chapter 18 | Chapter 18 | Chapter 18 | Chapter 18 | Chapter 18 | Correlated outcomes regression |
| Appendix A | Appendix A | Appendix A | Appendix A | Appendix A: Data Sets |
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