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.