SAS and R: Data Management, Statistical Analysis, and Graphics
Kleinman, Ken; Horton, Nicholas J.
ISBN 10: 1466584491 ISBN 13: 9781466584495
Published by CRC Press, 2014
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About this Item
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Pages can have notes/highlighting. Spine may show signs of wear. ~ ThriftBooks: Read More, Spend Less. Seller Inventory # G1466584491I3N00
Synopsis:
An Up-to-Date, All-in-One Resource for Using SAS and R to Perform Frequent TasksThe 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.
New to the Second EditionThis edition now covers RStudio, a powerful and easy-to-use interface for R. It incorporates a number of additional topics, including using application program interfaces (APIs), accessing data through database management systems, using reproducible analysis tools, and statistical analysis with Markov chain Monte Carlo (MCMC) methods and finite mixture models. It also includes extended examples of simulations and many new examples.
Enables Easy Mobility between the Two SystemsThrough the extensive indexing and cross-referencing, users can directly find and implement the material they need. SAS users can look up tasks in the SAS index and then find the associated R code while R users can benefit from the R index in a similar manner. Numerous example analyses demonstrate the code in action and facilitate further exploration. The datasets and code are available for download on the book’s website.
About the Author: Ken Kleinman, Nicholas J. Horton
"About this title" may belong to another edition of this title.
Bibliographic Details
Title: SAS and R: Data Management, Statistical ...
Publisher: CRC Press
Publication Date: 2014
Binding: Hardcover
Condition: Good
Dust Jacket Condition: No Jacket
Edition: 2nd Edition