SAS Essentials : Mastering SAS for Data Analytics.

Format:

Book

Author/Creator:

Elliott, Alan C.

Contributor:

Woodward, Wayne A.

Language:

English

Subjects (All):

Analysis of variance--Computer programs.

Analysis of variance -- Computer programs.

Mathematical statistics--Data processing.

Mathematical statistics -- Data processing.

SAS (Computer file).

Physical Description:

1 online resource (531 pages)

Edition:

2nd ed.

Place of Publication:

New York : John Wiley & Sons, Incorporated, 2015.

Summary:

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.

Contents:

Cover

Title Page

Copyright

Contents

Preface

Acknowledgements

Part I: Data Manipulation and the SAS® Programming Language

Chapter 1: Getting Started

1.1 Using SAS in a Windows Environment

1.2 Your First SAS Analysis

1.3 How SAS Works

1.4 Tips and Tricks for Running SAS Programs

1.5 Summary

Exercises

Chapter 2: Getting Data into SAS

2.1 Using SAS Data Sets

2.2 Understanding SAS Data Set Structure

2.3 Rules for SAS Variable Names

2.4 Understanding SAS Variable Types

2.5 Methods of Reading Data into SAS

2.6 Going Deeper: More Techniques for Entering Data

2.7 Summary

Chapter 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

Chapter 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

Chapter 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

Chapter 6: SAS Advanced Programming Topics Part 1

6.1 Using SAS Functions

6.2 Using PROC Transpose

6.3 The Select Statement

6.4 Going Deeper: Cleaning a Messy Data Set

6.5 Summary

Chapter 7: SAS Advanced Programming Topics Part 2

7.1 Using SAS Arrays

7.2 Using Do Loops

7.3 Using the Retain Statement

7.4 Using SAS Macros

7.5 Summary

Chapter 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

Part II: Statistical Analysis Using SAS Procedures

Chapter 9: Evaluating Quantitative Data

9.1 Using PROC Means

9.2 Using PROC Univariate

9.3 Going Deeper: Advanced PROC Univariate Options

9.4 Summary

Chapter 10: Analyzing Counts and Tables

10.1 Using PROC Freq

10.2 Analyzing One-Way Frequency Tables

10.3 Creating One-Way Frequency Tables From Summarized Data

10.4 Analyzing Two-Way Tables

10.5 Going Deeper: Calculating Relative Risk Measures

10.6 Going Deeper: Inter-Rater Reliability (Kappa)

10.7 Summary

Chapter 11: Comparing Means Using T-Tests

11.1 Performing a One-Sample t-Test

11.2 Performing a Two-Sample t-Test

11.3 Performing a Paired t-test

11.4 Summary

Chapter 12: Correlation and Regression.

12.1 Correlation Analysis Using PROC Corr

12.2 Simple Linear Regression

12.3 Multiple Linear Regression Using PROC Reg

12.4 Going Deeper: Calculating Predictions

12.5 Going Deeper: Residual Analysis

12.6 Summary

Chapter 13: Analysis of Variance

13.1 Comparing Three or More Means Using One-Way Analysis of Variance

13.2 Comparing Three or More Repeated Measures

13.3 Going Deeper: Contrasts

13.4 Summary

Chapter 14: Analysis of Variance, Part II

14.1 Analysis of Covariance

14.2 Going Deeper: Two-Factor Anova Using PROC Mixed

14.3 Going Deeper: Repeated Measures with a Grouping Factor

14.4 Summary

Chapter 15: Nonparametric Analysis

15.1 Comparing Two Independent Samples Using Npar1way

15.2 Comparing k Independent Samples (Kruskal-Wallis)

15.3 Comparing Two Dependent (Paired) Samples

15.4 Comparing k-Dependent Samples (Friedman's Test)

15.5 Going Deeper: Nonparametric Multiple Comparisons

15.6 Summary

Chapter 16: Logistic Regression

16.1 Logistic Analysis Basics

16.2 Performing a Logistic Analysis Using PROC Logistic

16.3 Using Simple Logistic Analysis

16.4 Multiple Binary Logistic Analysis

16.5 Going Deeper: Assessing a Model's Fit and Predictive Ability

16.6 Summary

Chapter 17: Factor Analysis

17.1 Factor Analysis Basics

17.2 Summary

Chapter 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.

Chapter 19: Creating Custom Reports

19.1 Using PROC Tabulate

19.2 Using PROC Report

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

B.1 Using SAS Functions

B.2 Arithmetic/Mathematical Functions

B.3 Trigonometric Functions

B.4 Date and Time Functions

B.5 Character Functions

B.6 Truncation Functions

B.7 Financial Functions

B.8 Special Use Functions

Appendix C: Choosing a SAS Procedure

C.1 Descriptive Statistics

C.2 Comparison Tests

C.3 Relational Analyses (Correlation and Regression)

Appendix D: Quick Reference

Appendix E: Using SAS University Edition with SAS Essentials

E.1 Installing SAS University Edition

E.2 Creating a Permanent SAS Library

E.3 Limitations

E.4 Summary

References

Index

EULA.

Notes:

Description based on publisher supplied metadata and other sources.

Other Format:

Print version: Elliott, Alan C. SAS Essentials

ISBN:

9781119042174

OCLC:

908554404