English | 2020 | ISBN: 978-0367357979 | 378 Pages | PDF, EPUB | 31 MB

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.

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