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Using R for data management, statistical analysis, and graphics / Nicholas J. Horton, Ken Kleinman.

By: Contributor(s): Material type: TextTextPublication details: Boca Raton : CRC Press, c2011.Description: xxii, 275 p. : ill. ; 24 cmISBN:
  • 9781439827550
  • 1439827559
Subject(s): DDC classification:
  • 519.502855133   22
Contents:
Introduction to R -- Data Management -- Common Statistical Procedures -- Linear Regression and ANOVA -- Regression Generalizations and Multivariate Statistics-- Graphics -- Advanced Applications.
Summary: Using R for Data Management, Statistical Analysis, and Graphics presents an easy way to learn how to perform an analytical task in R, without having to navigate through the extensive, idiosyncratic, and sometimes unwieldy software documentation and vast number of add-on packages. Organized by short, clear descriptive entries, the book covers many common tasks, such as data management, descriptive summaries, inferential procedures, regression analysis, multivariate methods, and the creation of graphics.
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Item type Current library Call number Copy number Status Date due Barcode
Books Books Main library General Stacks 519.502855133 / HO.U 2011 (Browse shelf(Opens below)) 1 Available 011586

Includes bibliographical references and indexes.

Introduction to R -- Data Management -- Common Statistical Procedures -- Linear Regression and ANOVA -- Regression Generalizations and Multivariate Statistics-- Graphics -- Advanced Applications.

Using R for Data Management, Statistical Analysis, and Graphics presents an easy way to learn how to perform an analytical task in R, without having to navigate through the extensive, idiosyncratic, and sometimes unwieldy software documentation and vast number of add-on packages. Organized by short, clear descriptive entries, the book covers many common tasks, such as data management, descriptive summaries, inferential procedures, regression analysis, multivariate methods, and the creation of graphics.

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