SAS® Stat Studio 3.1 page516

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SAS® Stat Studio 3.1  page516
                     User’s Guide

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Contents
Chapter 1. Introduction . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1
Chapter 2. Getting Started: Exploratory Data Analysis of Tropical Cyclones . . . . . . 11
Chapter 3. Creating and Editing Data . . . . . . . . . . . . . . . . . . . . . . . . . . . 25
Chapter 4. The Data Table . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 31
Chapter 5. Exploring Data in One Dimension . . . . . . . . . . . . . . . . . . . . . . . 53
Chapter 6. Exploring Data in Two Dimensions . . . . . . . . . . . . . . . . . . . . . . 69
Chapter 7. Exploring Data in Three Dimensions . . . . . . . . . . . . . . . . . . . . . 93
Chapter 8. Interacting with Plots . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 117
Chapter 9. General Plot Properties . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 129
Chapter 10. Axis Properties . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 145
Chapter 11. Techniques for Exploring Data . . . . . . . . . . . . . . . . . . . . . . . . 151
Chapter 12. Plotting Subsets of Data . . . . . . . . . . . . . . . . . . . . . . . . . . . 173
Chapter 13. Distribution Analysis: Descriptive Statistics . . . . . . . . . . . . . . . . . 187
Chapter 14. Distribution Analysis: Location and Scale Statistics . . . . . . . . . . . . . 195
Chapter 15. Distribution Analysis: Distributional Modeling . . . . . . . . . . . . . . . 203
Chapter 16. Distribution Analysis: Frequency Counts . . . . . . . . . . . . . . . . . . 217
Chapter 17. Distribution Analysis: Outlier Detection . . . . . . . . . . . . . . . . . . . 225
Chapter 18. Data Smoothing: Loess . . . . . . . . . . . . . . . . . . . . . . . . . . . . 233
Chapter 19. Data Smoothing: Thin-Plate Spline . . . . . . . . . . . . . . . . . . . . . 247
Chapter 20. Data Smoothing: Polynomial Regression . . . . . . . . . . . . . . . . . . 257
Chapter 21. Model Fitting: Linear Regression . . . . . . . . . . . . . . . . . . . . . . 267
Chapter 22. Model Fitting: Robust Regression . . . . . . . . . . . . . . . . . . . . . . 285
Chapter 23. Model Fitting: Logistic Regression . . . . . . . . . . . . . . . . . . . . . . 297
Chapter 24. Model Fitting: Generalized Linear Models . . . . . . . . . . . . . . . . . . 317
Chapter 25. Multivariate Analysis: Correlation Analysis . . . . . . . . . . . . . . . . . 343
Chapter 26. Multivariate Analysis: Principal Component Analysis . . . . . . . . . . . . 353
Chapter 27. Multivariate Analysis: Factor Analysis . . . . . . . . . . . . . . . . . . . . 371
Chapter 28. Multivariate Analysis: Canonical Correlation Analysis . . . . . . . . . . . 389
Chapter 29. Multivariate Analysis: Canonical Discriminant Analysis . . . . . . . . . . 399
Chapter 30. Multivariate Analysis: Discriminant Analysis . . . . . . . . . . . . . . . . 415
Chapter 31. Multivariate Analysis: Correspondence Analysis . . . . . . . . . . . . . . 425
Chapter 32. Variable Transformations . . . . . . . . . . . . . . . . . . . . . . . . . . . 437
Chapter 33. Running Custom Analyses . . . . . . . . . . . . . . . . . . . . . . . . . . 465
Chapter 34. Configuring the Stat Studio Interface . . . . . . . . . . . . . . . . . . . . . 471
Appendix A. Sample Data Sets . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 487
Appendix B. SAS/INSIGHT Features Not Available in Stat Studio . . . . . . . . . . . 499
Index . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 501

LZ, 分享精神值得赞赏，谢谢！

LZ, 分享精神值得赞赏，谢谢！

谢谢表扬，多谢rdzr

Contents
Chapter 1. Introduction . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1
Chapter 2. Getting Started: Exploratory Data Analysis of Tropical Cyclones . . . . . . 11
Chapter 3. Creating and Editing Data . . . . . . . . . . . . . . . . . . . . . . . . . . . 25
Chapter 4. The Data Table . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 31
Chapter 5. Exploring Data in One Dimension . . . . . . . . . . . . . . . . . . . . . . . 53
Chapter 6. Exploring Data in Two Dimensions . . . . . . . . . . . . . . . . . . . . . . 69
Chapter 7. Exploring Data in Three Dimensions . . . . . . . . . . . . . . . . . . . . . 93
Chapter 8. Interacting with Plots . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 117
Chapter 9. General Plot Properties . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 129
Chapter 10. Axis Properties . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 145
Chapter 11. Techniques for Exploring Data . . . . . . . . . . . . . . . . . . . . . . . . 151
Chapter 12. Plotting Subsets of Data . . . . . . . . . . . . . . . . . . . . . . . . . . . 173
Chapter 13. Distribution Analysis: Descriptive Statistics . . . . . . . . . . . . . . . . . 187
Chapter 14. Distribution Analysis: Location and Scale Statistics . . . . . . . . . . . . . 195
Chapter 15. Distribution Analysis: Distributional Modeling . . . . . . . . . . . . . . . 203
Chapter 16. Distribution Analysis: Frequency Counts . . . . . . . . . . . . . . . . . . 217
Chapter 17. Distribution Analysis: Outlier Detection . . . . . . . . . . . . . . . . . . . 225
Chapter 18. Data Smoothing: Loess . . . . . . . . . . . . . . . . . . . . . . . . . . . . 233
Chapter 19. Data Smoothing: Thin-Plate Spline . . . . . . . . . . . . . . . . . . . . . 247
Chapter 20. Data Smoothing: Polynomial Regression . . . . . . . . . . . . . . . . . . 257
Chapter 21. Model Fitting: Linear Regression . . . . . . . . . . . . . . . . . . . . . . 267
Chapter 22. Model Fitting: Robust Regression . . . . . . . . . . . . . . . . . . . . . . 285
Chapter 23. Model Fitting: Logistic Regression . . . . . . . . . . . . . . . . . . . . . . 297
Chapter 24. Model Fitting: Generalized Linear Models . . . . . . . . . . . . . . . . . . 317
Chapter 25. Multivariate Analysis: Correlation Analysis . . . . . . . . . . . . . . . . . 343
Chapter 26. Multivariate Analysis: Principal Component Analysis . . . . . . . . . . . . 353
Chapter 27. Multivariate Analysis: Factor Analysis . . . . . . . . . . . . . . . . . . . . 371
Chapter 28. Multivariate Analysis: Canonical Correlation Analysis . . . . . . . . . . . 389
Chapter 29. Multivariate Analysis: Canonical Discriminant Analysis . . . . . . . . . . 399
Chapter 30. Multivariate Analysis: Discriminant Analysis . . . . . . . . . . . . . . . . 415
Chapter 31. Multivariate Analysis: Correspondence Analysis . . . . . . . . . . . . . . 425
Chapter 32. Variable Transformations . . . . . . . . . . . . . . . . . . . . . . . . . . . 437
Chapter 33. Running Custom Analyses . . . . . . . . . . . . . . . . . . . . . . . . . . 465
Chapter 34. Configuring the Stat Studio Interface . . . . . . . . . . . . . . . . . . . . . 471
Appendix A. Sample Data Sets . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 487
Appendix B. SAS/INSIGHT Features Not Available in Stat Studio . . . . . . . . . . . 499
Index . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 501
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