Statistical Programming in SAS Second Edition provides a foundation for programming to implement statistical solutions using SAS, a system that has been used to solve data analytic problems for more than 40 years. The author includes motivating examples to inspire readers to generate programming solutions. Upper-level undergraduates, beginning graduate students, and professionals involved in generating programming solutions for data-analytic problems will benefit from this book. The ideal background for a reader is some background in regression modeling and introductory experience with computer programming.


The coverage of statistical programming in the second edition includes


Getting data into the SAS system, engineering new features, and formatting variables


Writing readable and well-documented code


Structuring, implementing, and debugging programs that are well documented


Creating solutions to novel problems


Combining data sources, extracting parts of data sets, and reshaping data sets as needed for other analyses


Generating general solutions using macros


Customizing output


Producing insight-inspiring data visualizations


Parsing, processing, and analyzing text


Programming solutions using matrices and connecting to R


Processing text


Programming with matrices


Connecting SAS with R


Covering topics that are part of both base and certification exams.