SAS system for statistical graphics /
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| Author / Creator: | Friendly, Michael |
|---|---|
| Edition: | 1st ed. |
| Imprint: | Cary, NC : SAS Institute, c1991. |
| Description: | xviii, 697 p. : ill., maps ; 28 cm. |
| Language: | English |
| Series: | SAS series in statistical applications |
| Subject: | |
| Format: | Print Book |
| URL for this record: | http://pi.lib.uchicago.edu/1001/cat/bib/1477608 |
Table of Contents:
- Reference Aids
- Acknowledgments
- About the Author
- Using This Book
- Part 1. Introduction
- Chapter 1. Introduction to Statistical Graphics
- 1.1. Introduction
- 1.2. Advantages of Plotting Data
- 1.3. The Roles of Graphics in Data Analysis
- 1.4. Psychological Principles of Data Display
- 1.5. Graphical Standards for Data Display
- 1.6. Strategies for Graphical Data Analysis
- 1.7. Data Sets
- Part 2. Univariate Displays
- Chapter 2. Graphical Methods for Univariate Data
- 2.1. Introduction
- 2.2. Histograms and Bar Charts
- 2.3. Stem and Leaf Displays
- 2.4. Boxplots
- 2.5. Dot Charts
- Chapter 3. Plotting Theoretical and Empirical Distributions
- 3.1. Introduction
- 3.2. Plotting Theoretical Statistical Distributions
- 3.3. Bivariate Normal Distribution
- 3.4. Histogram Smoothing and Density Estimation
- 3.5. Quantile Plots
- 3.6. Plots for Assessing Symmetry
- Part 3. Bivariate Displays
- Chapter 4. Scatterplots
- 4.1. Introduction
- 4.2. Simple Scatterplots
- 4.3. Labeling Observations
- 4.4. Interpolated Curves and Smoothings
- 4.5. Enhanced Scatterplots
- 4.6. Plotting Discrete Data
- 4.7. Displaying a Third Variable on a Scatterplot
- 4.8. Three-Dimensional Plots
- Chapter 5. Plotting Regression Data
- 5.1. Introduction
- 5.2. Plotting Data, Regression Curves, and Confidence Limits
- 5.3. Regression with Several Groups
- 5.4. Validity of Assumptions: Plotting Residuals
- 5.5. Partial Regression Plots
- 5.6. Multiple Regression Response Surface
- 5.7. Plots of C[subscript P] against P for Variable Selection
- 5.8. Regression with Geographic Data
- Part 4. Graphical Comparisons and Experimental Design Data
- Chapter 6. Comparing Groups
- 6.1. Introduction
- 6.2. Quantile Comparison Plots for Pairs of Distributions
- 6.3. Comparative Boxplots
- 6.4. Diagnostic Plot for Equalizing Variability
- Chapter 7. Plotting ANOVA Data
- 7.1. Introduction
- 7.2. Plotting Means in a One-Way Design
- 7.3. Plotting Means for Two-Factor Designs
- 7.4. Plotting Interactions
- 7.5. Repeated Measure Designs
- 7.6. Displaying Two-Way Tables for n=1 Designs
- 7.7. Plotting Power Curves for ANOVA Designs
- Part 5. Multivariate Data
- Chapter 8. Displaying Multivariate Data
- 8.1. Introduction
- 8.2. Glyph Plots
- 8.3. Draftsman's Display and Scatterplot Matrix
- 8.4. Star Plots
- 8.5. Profile Plots
- 8.6. Andrews Function Plots
- 8.7. Biplot: Plotting Variables and Observations Together
- Chapter 9. Multivariate Statistical Methods
- 9.1. Introduction
- 9.2. Assessing Multivariate Normality
- 9.3. Detecting Multivariate Outliers
- 9.4. Plotting Principal Components and Component Scores
- 9.5. Discriminating among Groups
- Chapter 10. Displaying Categorical Data
- 10.1. Introduction
- 10.2. Rectangular Displays
- 10.3. Correspondence Analysis
- Part 6. Appendices
- Appendix 1. Macro Programs
- A1.1. Introduction
- A1.2. The BIPLOT Macro
- A1.3. The BOXANNO Macro
- A1.4. The BOXPLOT Macro
- A1.5. The CONTOUR Macro
- A1.6. The CORRESP Macro
- A1.7. The DENSITY Macro
- A1.8. The DOTPLOT Macro
- A1.9. The LOWESS Macro
- A1.10. The NQPLOT Macro
- A1.11. The OUTLIER Macro
- A1.12. The PARTIAL Macro
- A1.13. The SCATMAT Macro
- A1.14. The STARS Macro
- A1.15. The SYMPLOT Macro
- A1.16. The TWOWAY Macro
- Appendix 2. Data Sets
- A2.1. Introduction
- A2.2. The AUTO Data Set: Automobiles Data
- A2.3. The BASEBALL Data Set: Baseball Data
- A2.4. The CITYTEMP Data Set: City Temperatures Data
- A2.5. The CRIME Data Set: State Crime Data
- A2.6. The DIABETES Data Set: Diabetes Data
- A2.7. The DRAFTUSA Data Set: Draft Lottery Data
- A2.8. The DUNCAN Data Set: Duncan Occupational Prestige Data
- A2.9. The FUEL Data Set: Fuel Consumption Data
- A2.10. The IRIS Data Set: Iris Data
- A2.11. The NATIONS Data Set: Infant Mortality Data
- A2.12. The SALARY Data Set: Salary Survey Data
- A2.13. The SPENDING Data Set: School Spending Data
- A2.14. The TEETH Data Set: Mammals' Teeth Data
- A2.15. The WHEAT Data Set: Broadbalk Wheat Data
- Appendix 3. Color Output
- References
- Index
