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SAS and R : [Book] : data management, statistical analysis, and graphics / Ken Kleinman, Department of Population Medicine, Harvard Medial School and Harvard Pilgrim Health Care Institute, Boston, Massachusetts, U.S.A., Nicholas J. Horton, Department of Mathematics and Statistics, Amherst College, Amherst, Massachusetts, U.S.A.

By: Contributor(s): Material type: TextTextEdition: Second editionDescription: xxv, 443 pages ; 27 cmISBN:
  • 9781466584495 (hardback : acid-free paper)
Subject(s): DDC classification:
  • 005.3 23
Other classification:
  • 005.3
Summary: An Up-to-Date, All-in-One Resource for Using SAS and R to Perform Frequent Tasks The first edition of this popular guide provided a path between SAS and R using an easy-to-understand, dictionary-like approach. Retaining the same accessible format, SAS and R: Data Management, Statistical Analysis, and Graphics, Second Edition explains how to easily perform an analytical task in both SAS and R, without having to navigate through the extensive, idiosyncratic, and sometimes unwieldy software documentation. The book covers many common tasks, such as data management, descriptive summaries, inferential procedures, regression analysis, and graphics, along with more complex applications.
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Holdings
Item type Current library Call number Status Date due Barcode Item holds
Books Books Junaid Zaidi Library, COMSATS University Islamabad Ground Floor 005.3 KLE-S (Browse shelf(Opens below)) Available 50933
Total holds: 0

"A CRC title."

An Up-to-Date, All-in-One Resource for Using SAS and R to Perform Frequent Tasks The first edition of this popular guide provided a path between SAS and R using an easy-to-understand, dictionary-like approach. Retaining the same accessible format, SAS and R: Data Management, Statistical Analysis, and Graphics, Second Edition explains how to easily perform an analytical task in both SAS and R, without having to navigate through the extensive, idiosyncratic, and sometimes unwieldy software documentation. The book covers many common tasks, such as data management, descriptive summaries, inferential procedures, regression analysis, and graphics, along with more complex applications.

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