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SAS and R: Data Management, Statistical Analysis, and Graphics

SAS and R: Data Management, Statistical Analysis, and Graphics Cover

 

Synopses & Reviews

Publisher Comments:

An All-in-One Resource for Using SAS and R to Carry out Common Tasks

Provides a path between languages that is easier than reading complete documentation

SAS and R: Data Management, Statistical Analysis, and Graphics presents an easy way to learn how to 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 the creation of graphics, along with more complex applications.

Takes an innovative, easy-to-understand, dictionary-like approach

Through the extensive indexing, cross-referencing, and worked examples in this text, users can directly find and implement the material they need. The book enables easier mobility between the two systems: 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. Demonstrating the code in action and facilitating exploration, the authors present extensive example analyses that employ a single data set from the HELP study. They offer the data sets and code for download on the book 's website.

Book News Annotation:

The primary goal of this book is to provide users of SAS and R, two statistical software packages used in many fields of research, with an easy way to learn how to perform an analytic task in both systems, without having to navigate through unwieldy software documentation. The dictionary-like approach includes SAS and R indexes and cross-references between the two systems. Coverage embraces many common tasks, such as data management, descriptive summaries, inferential procedures, regression analysis, and the creation of graphics, along with more complex applications. Example analyses employ a single data set from the HELP study. A companion web site contains the HELP dataset, and example code in SAS and R. The book will be useful for those with an understanding of statistics at the level of multiple-regression analysis, including statisticians, epidemiologists, economist, engineers, sociologists, and others engaged in research or data analysis. Kleinman is affiliated with Harvard Medical School. Horton is affiliated with Smith College. Annotation ©2009 Book News, Inc., Portland, OR (booknews.com)

Synopsis:

An all-in-one resource for using SAS and R to carry out common tasks, this guide presents an easy way to learn how to perform an analytical task in both SAS and R, without having to navigate through the extensive, idiosyncratic, and sometimes unwieldy software documentation.

Synopsis:

Eliminating the need to consult laborious documentation, this book presents an easy way to learn how to perform an analytical task in both SAS and R. It covers many common tasks, along with more complex applications. The text provides parallel examples in SAS and R to demonstrate how to use the software and derive identical answers regardless of software choice. It also gives insight into the process of statistical coding from beginning to end by supplying worked examples of complex coding tasks. The authors include an index for each software, allowing users to easily locate procedures. They offer the SAS and R data sets and code for download online.

Product Details

ISBN:
9781420070576
Publisher:
Chapman & Hall/CRC
Subject:
SAS (Computer program language)
Author:
Horton, Nicholas J.
Author:
Horton, Nick
Author:
Kleinman, Ken
Subject:
R (Computer program language)
Subject:
Probability & Statistics - General
Subject:
Miscellaneous Software
Subject:
Mathematical & Statistical Software
Subject:
Mathematics -- Software.
Publication Date:
20090731
Binding:
Hardcover
Language:
English
Illustrations:
Y
Pages:
323
Dimensions:
10.00x7.00x.90 in. 1.72 lbs.

Related Subjects

Business » General
Science and Mathematics » Mathematics » Probability and Statistics » General
Science and Mathematics » Mathematics » Probability and Statistics » Statistics
Science and Mathematics » Mathematics » Software

SAS and R: Data Management, Statistical Analysis, and Graphics
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Product details 323 pages Chapman & Hall/CRC - English 9781420070576 Reviews:
"Synopsis" by , An all-in-one resource for using SAS and R to carry out common tasks, this guide presents an easy way to learn how to perform an analytical task in both SAS and R, without having to navigate through the extensive, idiosyncratic, and sometimes unwieldy software documentation.
"Synopsis" by , Eliminating the need to consult laborious documentation, this book presents an easy way to learn how to perform an analytical task in both SAS and R. It covers many common tasks, along with more complex applications. The text provides parallel examples in SAS and R to demonstrate how to use the software and derive identical answers regardless of software choice. It also gives insight into the process of statistical coding from beginning to end by supplying worked examples of complex coding tasks. The authors include an index for each software, allowing users to easily locate procedures. They offer the SAS and R data sets and code for download online.
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