Statistical Programming in SAS, 2nd Edition

Statistical Programming in SAS, 2nd Edition

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.