Valuable 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 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 25 years of teaching introductory
SAS courses. This book introduces data manipulation, statistical
techniques, and the SAS programming language, including SAS macros,
reporting results in tables, and factor analysis, as well as
sections on character functions, variable manipulation, and
merging, appending, and updating files. It features self-contained
chapters to enhance the learning process and includes programming
approaches for the latest version of the SAS platform. The Third
Edition has been updated with expanded examples, a new chapter
introducing PROC SQL as well as new end-of-chapter exercises. The
Third Edition also includes a companion website with data sets,
additional code, notes on SAS programming, functions, ODS, PROC
SQL, and SAS Arrays, along with solutions for instructors. Specific
sample topics covered in SAS(R) Essentials include: Getting data
into SAS, reading, writing, and importing data, preparing data for
analysis, preparing to use SAS procedures, and controlling output
using ODS Techniques for creating, editing, and debugging SAS
programs, cleaning up messy data sets, and manipulating data using
character, time, and numeric functions. Other essential
computational skills that are utilized by business, government, and
organizations alike, and DATA step for data management Using PROC
to analyze data, including evaluating quantitative data, analyzing
counts and tables, comparing means using T-Tests, correlation and
regression, and analysis of variance, Nonparametric analysis,
logistic regression, factor analysis, and creating custom graphs
and reports. SAS(R) Essentials is a fundamental study resource for
professionals preparing for the SAS Base Certification Exam, as
well as an ideal textbook for courses in statistics, data
analytics, applied SAS programming, and statistical computer
applications.
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