SAS essentials : mastering SAS for data analytics

著者

書誌事項

SAS essentials : mastering SAS for data analytics

Alan C. Elliott and Wayne A. Woodward

Wiley, c2016

2nd ed

  • : pbk

大学図書館所蔵 件 / 全2件

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注記

Includes bibliographical references (p. 508-509) and index

内容説明・目次

内容説明

A step-by-step introduction to using SAS (R) statistical software as a foundational approach to data analysis and interpretation Presenting a straightforward introduction from the ground up, SAS (R) 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 (R) 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.

目次

Preface vii Acknowledgements ix Part I Data Manipulation and the SAS (R) 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

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