SAS System for Statistical Graphics,First Edition

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Learn to produce powerful displays of statistical data. Emphasized are displays that reveal aspects of data not easily captured in numerical summaries or tabular formats and diagnostic displays that help determine if assumptions of an analysis are met. Clearly written, with solid examples of careful analyses, this book is intended for users with basic to intermediate levels of experience with SAS software and statistics. Topics covered in this book include the role of statistical graphics in data analysis, ...
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first Good [ No Hassle 30 Day Returns ] [ Edition: first ] Publisher: SAS Institute Pub Date: 11/4/1991 Binding: Paperback Pages: 720.

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Overview

Learn to produce powerful displays of statistical data. Emphasized are displays that reveal aspects of data not easily captured in numerical summaries or tabular formats and diagnostic displays that help determine if assumptions of an analysis are met. Clearly written, with solid examples of careful analyses, this book is intended for users with basic to intermediate levels of experience with SAS software and statistics. Topics covered in this book include the role of statistical graphics in data analysis, graphical standards for data display, and simple, enhanced, and three-dimensional scatter plots. With this book you will also become proficient at displaying multivariate data and plotting variables and observations together. Supports releases 6.09 and higher of SAS software.
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Product Details

  • ISBN-13: 9781555444419
  • Publisher: SAS Publishing
  • Publication date: 11/4/1991
  • Series: SAS Series in Statistical Applications Series
  • Edition description: 1st ed
  • Edition number: 1
  • Pages: 720
  • Product dimensions: 8.50 (w) x 10.80 (h) x 1.26 (d)

Table of Contents

Reference Aids vii
Acknowledgments ix
About the Author xi
Using This Book xiii
Part 1 Introduction 1
Chapter 1 Introduction to Statistical Graphics 3
1.1 Introduction 3
1.2 Advantages of Plotting Data 4
1.3 The Roles of Graphics in Data Analysis 12
1.4 Psychological Principles of Data Display 22
1.5 Graphical Standards for Data Display 27
1.6 Strategies for Graphical Data Analysis 28
1.7 Data Sets 43
Part 2 Univariate Displays 45
Chapter 2 Graphical Methods for Univariate Data 47
2.1 Introduction 47
2.2 Histograms and Bar Charts 48
2.3 Stem and Leaf Displays 59
2.4 Boxplots 61
2.5 Dot Charts 66
Chapter 3 Plotting Theoretical and Empirical Distributions 85
3.1 Introduction 85
3.2 Plotting Theoretical Statistical Distributions 86
3.3 Bivariate Normal Distribution 103
3.4 Histogram Smoothing and Density Estimation 107
3.5 Quantile Plots 117
3.6 Plots for Assessing Symmetry 131
Part 3 Bivariate Displays 143
Chapter 4 Scatterplots 145
4.1 Introduction 146
4.2 Simple Scatterplots 146
4.3 Labeling Observations 156
4.4 Interpolated Curves and Smoothings 165
4.5 Enhanced Scatterplots 174
4.6 Plotting Discrete Data 189
4.7 Displaying a Third Variable on a Scatterplot 200
4.8 Three-Dimensional Plots 205
Chapter 5 Plotting Regression Data 211
5.1 Introduction 211
5.2 Plotting Data, Regression Curves, and Confidence Limits 213
5.3 Regression with Several Groups 220
5.4 Validity of Assumptions: Plotting Residuals 232
5.5 Partial Regression Plots 254
5.6 Multiple Regression Response Surface 259
5.7 Plots of C[subscript P] against P for Variable Selection 266
5.8 Regression with Geographic Data 273
Part 4 Graphical Comparisons and Experimental Design Data 283
Chapter 6 Comparing Groups 285
6.1 Introduction 285
6.2 Quantile Comparison Plots for Pairs of Distributions 285
6.3 Comparative Boxplots 293
6.4 Diagnostic Plot for Equalizing Variability 305
Chapter 7 Plotting ANOVA Data 319
7.1 Introduction 319
7.2 Plotting Means in a One-Way Design 320
7.3 Plotting Means for Two-Factor Designs 337
7.4 Plotting Interactions 343
7.5 Repeated Measure Designs 360
7.6 Displaying Two-Way Tables for n=1 Designs 366
7.7 Plotting Power Curves for ANOVA Designs 386
Part 5 Multivariate Data 393
Chapter 8 Displaying Multivariate Data 395
8.1 Introduction 395
8.2 Glyph Plots 396
8.3 Draftsman's Display and Scatterplot Matrix 403
8.4 Star Plots 414
8.5 Profile Plots 420
8.6 Andrews Function Plots 431
8.7 Biplot: Plotting Variables and Observations Together 437
Chapter 9 Multivariate Statistical Methods 447
9.1 Introduction 447
9.2 Assessing Multivariate Normality 447
9.3 Detecting Multivariate Outliers 450
9.4 Plotting Principal Components and Component Scores 457
9.5 Discriminating among Groups 478
Chapter 10 Displaying Categorical Data 499
10.1 Introduction 499
10.2 Rectangular Displays 500
10.3 Correspondence Analysis 514
Part 6 Appendices 527
Appendix 1 Macro Programs 529
A1.1 Introduction 530
A1.2 The BIPLOT Macro 532
A1.3 The BOXANNO Macro 536
A1.4 The BOXPLOT Macro 540
A1.5 The CONTOUR Macro 548
A1.6 The CORRESP Macro 553
A1.7 The DENSITY Macro 556
A1.8 The DOTPLOT Macro 558
A1.9 The LOWESS Macro 563
A1.10 The NQPLOT Macro 567
A1.11 The OUTLIER Macro 570
A1.12 The PARTIAL Macro 572
A1.13 The SCATMAT Macro 576
A1.14 The STARS Macro 581
A1.15 The SYMPLOT Macro 586
A1.16 The TWOWAY Macro 589
Appendix 2 Data Sets 595
A2.1 Introduction 595
A2.2 The AUTO Data Set: Automobiles Data 595
A2.3 The BASEBALL Data Set: Baseball Data 598
A2.4 The CITYTEMP Data Set: City Temperatures Data 607
A2.5 The CRIME Data Set: State Crime Data 609
A2.6 The DIABETES Data Set: Diabetes Data 610
A2.7 The DRAFTUSA Data Set: Draft Lottery Data 614
A2.8 The DUNCAN Data Set: Duncan Occupational Prestige Data 615
A2.9 The FUEL Data Set: Fuel Consumption Data 617
A2.10 The IRIS Data Set: Iris Data 619
A2.11 The NATIONS Data Set: Infant Mortality Data 620
A2.12 The SALARY Data Set: Salary Survey Data 623
A2.13 The SPENDING Data Set: School Spending Data 625
A2.14 The TEETH Data Set: Mammals' Teeth Data 627
A2.15 The WHEAT Data Set: Broadbalk Wheat Data 628
Appendix 3 Color Output 631
References 683
Index 691
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