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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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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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