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.Additional ISBNs0367357976, 0429341849, 036735800X, 9780367357979, 9780429341847, 9780367358006Statistical Programming in SAS 2nd Edition is written by A. John Bailer and published by Chapman & Hall. ISBNs for Statistical Programming in SAS are 9781000735420, 1000735427 and the print ISBNs are 9780367357979, 0367357976. Additional ISBNs include 0367357976, 0429341849, 036735800X, 9780367357979, 9780429341847, 9780367358006.