Book description
A step-by-step introduction to using SAS statistical software as a foundational approach to data analysis and interpretation
Presenting a straightforward introduction from the ground up, SAS Essentials: Mastering SAS for Data Analytics, Second Edition illustrates SAS using hands-on learning techniques and numerous real-world examples. Keeping different experience levels in mind, the highly-qualified author team has developed the book over 20 years of teaching introductory SAS courses.
Divided into two sections, the first part of the book provides an introduction to data manipulation, statistical techniques, and the SAS programming language. The second section is designed to introduce users to statistical analysis using SAS Procedures. Featuring self-contained chapters to enhance the learning process, the Second Edition also includes:
Programming approaches for the most up-to-date version of the SAS platform including information on how to use the SAS University Edition
Discussions to illustrate the concepts and highlight key fundamental computational skills that are utilized by business, government, and organizations alike
New chapters on reporting results in tables and factor analysis
Additional information on the DATA step for data management with an emphasis on importing data from other sources, combining data sets, and data cleaning
Updated ANOVA and regression examples as well as other data analysis techniques
A companion website with the discussed data sets, additional code, and related PowerPoint slides
SAS Essentials: Mastering SAS for Data Analytics, Second Edition is an ideal textbook for upper-undergraduate and graduate-level courses in statistics, data analytics, applied SAS programming, and statistical computer applications as well as an excellent supplement for statistical methodology courses. The book is an appropriate reference for researchers and academicians who require a basic introduction to SAS for statistical analysis and for preparation for the Basic SAS Certification Exam.
Table of contents
- Cover
- Title Page
- PREFACE
- ACKNOWLEDGMENTS
-
PART I: DATA MANIPULATION AND THE SAS® PROGRAMMING LANGUAGE
- 1: GETTING STARTED
- 2: GETTING DATA INTO SAS
-
3: READING, WRITING, AND IMPORTING DATA
- 3.1 WORKING WITH SAS LIBRARIES AND PERMANENT DATA SETS
- 3.2 CREATING PERMANENT SAS DATA SETS USING THE WINDOWS FILE NAME TECHNIQUE
- 3.3 CREATING PERMANENT SAS DATA SETS USING AN SAS LIBRARY
- 3.4 CREATING A SAS LIBRARY USING A DIALOG BOX
- 3.5 CREATING A SAS LIBRARY USING CODE
- 3.6 USING DATA IN PERMANENT SAS DATA SETS
- 3.7 IMPORTING DATA FROM ANOTHER PROGRAM
- 3.8 DISCOVERING THE CONTENTS OF AN SAS DATA SET
- 3.9 GOING DEEPER: UNDERSTANDING HOW THE DATA STEP READS AND STORES DATA
- 3.10 SUMMARY
- EXERCISES
-
4: PREPARING DATA FOR ANALYSIS
- 4.1 LABELING VARIABLES WITH EXPLANATORY NAMES
- 4.2 CREATING NEW VARIABLES
- 4.3 USING IF-THEN-ELSE CONDITIONAL STATEMENT ASSIGNMENTS
- 4.4 USING DROP AND KEEP TO SELECT VARIABLES
- 4.5 USING THE SET STATEMENT TO READ AN EXISTING DATA SET
- 4.6 USING PROC SORT
- 4.7 APPENDING AND MERGING DATA SETS
- 4.8 USING PROC FORMAT
- 4.9 GOING DEEPER: FINDING FIRST AND LAST VALUES
- 4.10 SUMMARY
- EXERCISES
-
5: PREPARING TO USE SAS PROCEDURES
- 5.1 UNDERSTANDING SAS SUPPORT STATEMENTS
- 5.2 UNDERSTANDING PROC STATEMENT SYNTAX
- 5.3 USING THE ID STATEMENT IN A SAS PROCEDURE
- 5.4 USING THE LABEL STATEMENT IN A SAS PROCEDURE
- 5.5 USING THE WHERE STATEMENT IN A SAS PROCEDURE
- 5.6 USING PROC PRINT
- 5.7 GOING DEEPER: SPLITTING COLUMN TITLES IN PROC PRINT
- 5.8 GOING DEEPER: COMMON SYSTEM OPTIONS
- 5.9 SUMMARY
- EXERCISES
- 6: SAS® ADVANCED PROGRAMMING TOPICS PART 1
- 7: SAS® ADVANCED PROGRAMMING TOPICS PART 2
-
8: CONTROLLING OUTPUT USING ODS
- 8.1 SPECIFYING THE ODS OUTPUT FORMAT AND DESTINATION
- 8.2 SPECIFYING ODS OUTPUT STYLE
- 8.3 USING ODS TO SELECT SPECIFIC OUTPUT TABLES FOR SAS PROCEDURES
- 8.4 GOING DEEPER: CAPTURING INFORMATION FROM ODS TABLES
- 8.5 GOING DEEPER: USING TRAFFIC LIGHTING TO HIGHLIGHT SELECTED VALUES
- 8.6 EXTENDED ODS FEATURES
- 8.7 SUMMARY
- EXERCISES
-
PART II: STATISTICAL ANALYSIS USING SAS® PROCEDURES
- 9: EVALUATING QUANTITATIVE DATA
- 10: ANALYZING COUNTS AND TABLES
- 11: COMPARING MEANS USING t-TESTS
- 12: CORRELATION AND REGRESSION
- 13: ANALYSIS OF VARIANCE
- 14: ANALYSIS OF VARIANCE, PART II
- 15: NONPARAMETRIC ANALYSIS
- 16: LOGISTIC REGRESSION
- 17: FACTOR ANALYSIS
-
18: CREATING CUSTOM GRAPHS
- 18.1 CREATING SCATTERPLOTS AND LINE GRAPHS USING GPLOT
- 18.2 CREATING BAR CHARTS AND PIE CHARTS
- 18.3 DEFINING GRAPH PATTERNS
- 18.4 CREATING STACKED BAR CHARTS
- 18.5 CREATING MEAN BARS USING GCHART
- 18.6 CREATING BOXPLOTS
- 18.7 GOING DEEPER: CREATING AN INTERACTIVE BAR USING ODS
- 18.8 GOING DEEPER: SGPLOTS
- 18.9 OTHER WAYS TO CUSTOMIZE PLOTS
- 18.10 SUMMARY
- EXERCISES
- 19: CREATING CUSTOM REPORTS
-
APPENDIX A: OPTIONS REFERENCE
- A.1 USING SAS FONTS
- A.2 SPECIFYING SAS COLOR CHOICES
- A.3 SPECIFYING PATTERNS FOR PROCS GPLOT AND PROC UNIVARIATE
- A.4 BAR AND BLOCK PATTERNS FOR BAR CHARTS, PIE CHARTS, AND OTHER GRAPHICS
- A.5 SAS LINE STYLES
- A.6 USING SAS PLOTTING SYMBOLS
- A.7 USING ODS STYLE ATTRIBUTES
- A.8 COMMON (INPUT) INFORMATS
- A.9 COMMON (OUTPUT) FORMATS
- APPENDIX B: SAS® FUNCTION REFERENCE
- APPENDIX C: CHOOSING A SAS® PROCEDURE
- APPENDIX D: QUICK REFERENCE
- APPENDIX E: USING SAS® UNIVERSITY EDITION WITH SAS ESSENTIALS
- REFERENCES
- End User License Agreement
Product information
- Title: SAS Essentials: Mastering SAS for Data Analytics, 2nd Edition
- Author(s):
- Release date: August 2015
- Publisher(s): Wiley
- ISBN: 9781119042167
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