This handbook shows readers how best to manage and manipulate data by using the DATA step in SAS, helping them avoid common problems when creating SAS data sets. The author explains that learning syntax does not solve all problems; rather, a thorough comprehension of SAS processing is needed for successful programming. He also guides readers through a programming task. In most of the examples, the author first presents strategies and steps for solving the problem, then offers a solution, and finally gives a more detailed explanation of the solution.
This handbook shows readers how best to manage and manipulate data by using the DATA step in SAS, helping them avoid common problems when creating SAS data sets. The author explains that learning syntax does not solve all problems; rather, a thorough comprehension of SAS processing is needed for successful programming. He also guides readers through a programming task. In most of the examples, the author first presents strategies and steps for solving the problem, then offers a solution, and finally gives a more detailed explanation of the solution.
Arthur Li is a biostatistician at the City of Hope National Medical Center in Los Angeles County, California. He is also a part-time statistical programming instructor at the University of Southern California, where he received an MS in biostatistics. He often gives presentations and seminars on DATA step programming and statistical analysis using SAS software at SAS conferences.
Inhaltsangabe
Introduction to SAS. Creating Variables Conditionally. Understanding How the DATA Step Works. BY-Group Processing in the DATA Step. Writing Loops in the DATA Step. Array Processing. Combining Data Sets. Data Input and Output. Data Step Functions. Useful SAS Procedures. References.
Introduction to SAS. Creating Variables Conditionally. Understanding How the DATA Step Works. BY-Group Processing in the DATA Step. Writing Loops in the DATA Step. Array Processing. Combining Data Sets. Data Input and Output. Data Step Functions. Useful SAS Procedures. References.
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