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Statistical programming With SAS/IML software [electronic resource] / Rick Wicklin.

By: Wicklin, Rick.
Contributor(s): SAS Institute.
Material type: TextTextPublisher: Cary, N.C. : SAS Institute, 2010Description: 1 online resource (451 p.) : ill.ISBN: 9781607647706 (electronic bk.); 1607647702 (electronic bk.).Subject(s): SAS (Computer file) | IML (Computer program language) | R (Computer program language) | Statistics -- Data processing | Mathematical statistics -- Computer programs | COMPUTERS -- Mathematical & Statistical Software | SAS (Computer file) | IML (Computer program language) | R (Computer program language) | Statistics / Data processing | Mathematical statistics / Computer programsGenre/Form: Electronic books.Additional physical formats: Print version:: Statistical programming With SAS/IML software.DDC classification: 005.5/5 Online resources: EBSCOhost
Contents:
An introduction to SAS/IML software -- Getting started with the SAS/IML matrix programming language -- Programming techiques for data analysis -- Call SAS procedures -- IMLPlus: programming in SAS/IML Studio -- Understanding the IMLPlus classes -- Creating statistical graphs -- Managing data in IMLPlus -- Drawing on graphs -- Marker shapes, colors, and other attributes of data -- Calling functions in the R language -- Regression diagnostics -- Sampling and simulation -- Bootstrap methods -- Timing computations and the performance of algorithms -- Interactive techniques -- Appendices.
Summary: Annotation 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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"Features SAS/IML Studio and the SAS Interface to R"--Cover.

Includes bibliographical references and index.

An introduction to SAS/IML software -- Getting started with the SAS/IML matrix programming language -- Programming techiques for data analysis -- Call SAS procedures -- IMLPlus: programming in SAS/IML Studio -- Understanding the IMLPlus classes -- Creating statistical graphs -- Managing data in IMLPlus -- Drawing on graphs -- Marker shapes, colors, and other attributes of data -- Calling functions in the R language -- Regression diagnostics -- Sampling and simulation -- Bootstrap methods -- Timing computations and the performance of algorithms -- Interactive techniques -- Appendices.

Description based on print version record.

Annotation 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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Statistical programming With SAS/IML software by Wicklin, Rick. ©2010
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