SAS System for Statistical Graphics, First Edition
SAS System for Statistical Graphics, Michael Friendly
Reference Aids vii
Acknowledgments ix
About the Author xi
Using This Book xiii
Part 1 - Introduction
Chapter 1 Introduction to Statistical Graphics
- Introduction
- Advantages of Plotting Data
- The Roles of Graphics in Data Analysis
- Psychological Principles of Data Display
- Graphical Standards for Data Display
- Strategies for Graphical Data Analysis
- Data Sets
-
Part 2 - Univariate Displays
Chapter 2 Graphical Methods for Univariate Data
- Introduction
- Histograms and Bar Charts
- Stem and Leaf Displays
- Boxplots
- Dot Charts
Chapter 3 Plotting Theoretical and Empirical Distributions
- Introduction
- Plotting Theoretical Statistical Distributions
- Bivariate Normal Distribution
- Histogram Smoothing and Density Estimation
- Quantile Plots
- Plots for Assessing Symmetry
Part 3 - Bivariate Displays
Chapter 4 Scatterplots
- Introduction
- Simple Scatterplots
- Labeling Observations
- Interpolated Curves and Smoothings
- Enhanced Scatterplots
- Plotting Discrete Data
- Displaying a Third Variable on a Scatterplot
- Three-Dimensional Plots
Chapter 5 Plotting Regression Data
- Introduction
- Plotting Data, Regression Curves, and Confidence Limits
- Regression with Several Groups
- Validity of Assumptions: Plotting Residuals 232
- Partial Regression Plots
- Multiple Regression Response Surface
- Plots of Cp against P for Variable Selection
- Regression with Geographic Data
Part 4 - Graphical Comparisons and Experimental Design Data
Chapter 6 Comparing Groups
- Introduction
- Quantile Comparison Plots for Pairs of Distributions
- Comparative Boxplots
- Diagnostic Plot for Equalizing Variability
-
Chapter 7 Plotting ANOVA Data
- Introduction
- Plotting Means in a One-Way Design
- Plotting Means for Two-Factor Designs
- Plotting Interactions
- Repeated Measure Designs
- Displaying Two-Way Tables for n=1 Designs
- Plotting Power Curves for ANOVA Designs
Part 5 - Multivariate Data
Chapter 8 Displaying Multivariate Data
- Introduction
- Glyph Plots
- Draftsman's Display and Scatterplot Matrix
- Star Plots
- Profile Plots
- Andrews Function Plots
- Biplot: Plotting Variables and Observations Together
Chapter 9 Multivariate Statistical Methods
- Introduction
- Assessing Multivariate Normality
- Detecting Multivariate Outliers
- Plotting Principal Components and Component Scores
- Discriminating among Groups
Chapter 10 Displaying Categorical Data
- Introduction
- Rectangular Displays
- Correspondence Analysis
Part 6 - Appendices
Appendix 1 Macro Programs
Introduction
The BIPLOT Macro
The BOXANNO Macro
The BOXPLOT Macro
The CONTOUOR Macro
The CORRESP Macro
The DENSITY Macro
The DOTPLOT Macro
The LOWESS Macro
The NQPLOT Macro
The OUTLIER Macro
The PARTIAL Macro
The SCATMAT Macro
The STARS Macro
The SYMPLOT Macro
The TWOWAY Macro
Appendix 2 Data Sets
Introduction
The AUTO Data Set: Automobiles Data
The BASEBALL Data Set: Baseball Data
The CITYTEMP Data Set: City Temperatures Data
The CRIME Data Set: State Crime Data
The DIABETES Data Set: Diabetes Data
The DRAFTUSA Data Set: Draft Lottery Data
The DUNCAN Data Set: Duncan Occupational Prestige Data
The FUEL Data Set: Fuel Consumption Data
The IRIS Data Set: Iris Data
The NATIONS Data Set: Infant Mortality Data
The SALARY Data Set: Salary Survey Data
The SPENDING Data Set: School Spending Data
The TEETH Data Set: Mammals' Teeth Data
The WHEAT Data Set: Broadbalk Wheat Data
Appendix 3 Color Output
References
Index