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 Power Point 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.
表中的内容
Preface vii
Acknowledgements ix
Part I Data Manipulation and the SAS¯® Programming Language 1
1 Getting Started 3
2 Getting Data into SAS 19
3 Reading, Writing, and Importing Data 50
4 Preparing Data for Analysis 75
5 Preparing to Use SAS Procedures 112
6 SAS Advanced Programming Topics Part 1 134
7 SAS Advanced Programming Topics Part 2 163
8 Controlling Output Using ODS 193
Part II Statistical Analysis Using SAS Procedures 213
9 Evaluating Quantitative Data 215
10 Analyzing Counts and Tables 243
11 Comparing Means Using T-Tests 270
12 Correlation and Regression 283
13 Analysis of Variance 311
14 Analysis of Variance, Part II 327
15 Nonparametric Analysis 347
16 Logistic Regression 360
17 Factor Analysis 377
18 Creating Custom Graphs 393
19 Creating Custom Reports 431
Appendix A Options Reference 462
Appendix B SAS Function Reference 472
Appendix C Choosing a SAS Procedure 491
Appendix D Quick Reference 494
Appendix E Using SAS University Edition with SAS Essentials 501
References 508
Index 511
关于作者
Alan C. Elliott, MBA, is Director of the Statistical Consulting Center at Southern Methodist University. A prolific writer, he is the author and/or coauthor of multiple ‘how-to’ technology books and a long-time member of the American Statistical Association.
Wayne A. Woodward, Ph D, is Chair and Professor of the Department of Statistical Science at Southern Methodist University (SMU). He is a Fellow of the American Statistical Association, was named an SMU Distinguished Teaching Professor in 2003, and received the Scholar/Teacher of the Year Award at SMU in 2006.
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