SAS/IML software is a powerful tool for data analysts because it enables implementation of statistical algorithms that are not available in any SAS procedure. Rick Wicklin's Statistical Programming with SAS/IML Software is the first book to provide a comprehensive description of the software and how to use it. He presents tips and techniques that enable you to use the IML procedure and the SAS/IML Studio application efficiently. In addition to providing a comprehensive introduction to the software, the book also shows how to create and modify statistical graphs, call SAS procedures and R functions from a SAS/IML program, and implement such modern statistical techniques as simulations and bootstrap methods in the SAS/IML language. Written for data analysts working in all industries, graduate students, and consultants, Statistical Programming with SAS/IML Software includes numerous code snippets and more than 100 graphs.
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Rick Wicklin is a principal researcher in computational statistics at SAS, where he develops and supports the IML procedure and the SAS/IML Studio application. He received a PhD from Cornell University and has been a SAS user since 1997. Rick has presented numerous tutorials and papers at statistical and SAS users group conferences and is active in the American Statistical Association. Rick maintains a blog for statistical programmers at blogs.sas.com/content/iml/.
If you've ever wondered what a matrix programming language would look like on steroids, then look no further. Rick Wicklin's new book, Statistical Programming with SAS/IML Software, reveals all in describing SAS/IML Studio. The straightforward matrix calculating machine SAS/IML finds itself embedded in the object-oriented world of SAS/IML Studio with the ability to link objects, call R functions and SAS procedures, and produce stunning interactive graphics. With these new tools, only your imagination and programming abilities stand between you and any statistical calculation. --Charlie Hallahan, Mathematician, Economic Research Service, USDA
This book really expanded my view of SAS/IML and IMLPlus. Not only does it contain excellent descriptions of basic language constructs, but the text also explains object-oriented programming techniques and methods of integrating with languages such as R or Java. Statistical Programming with SAS/IML Software is an excellent reference for those new to SAS/IML or seasoned programmers looking to optimize existing code or improve data visualizations. Overall, it is a great addition to any SAS user's bookshelf. --Dr. Sarah Kreider, Veteran industry software engineer, University of Colorado
The book covers many of the SAS/IML subtleties and tricks with plenty of examples needed to become a good SAS/IML programmer. The author has done a great job delivering the vital information in a lucid language that makes it a perfect reading. --Deepak Khugher, Senior SAS Programmer
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