Statistical Programming in SAS

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.