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Ken Kleinman - SAS and R: Data Management, Statistical Analysis, and Graphics, Second Edition - 9781466584495 - V9781466584495
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SAS and R: Data Management, Statistical Analysis, and Graphics, Second Edition

€ 109.52
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Description for SAS and R: Data Management, Statistical Analysis, and Graphics, Second Edition Hardback. .

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 ... Read more

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.

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Product Details

Publisher
Taylor & Francis Inc
Format
Hardback
Publication date
2014
Condition
New
Number of Pages
470
Place of Publication
Bosa Roca, United States
ISBN
9781466584495
SKU
V9781466584495
Shipping Time
Usually ships in 4 to 8 working days
Ref
99-1

About Ken Kleinman
Ken Kleinman, Nicholas J. Horton

Reviews for SAS and R: Data Management, Statistical Analysis, and Graphics, Second Edition
"This book is not only an excellent cross-reference for SAS or R users to find the corresponding code in the opposing language, but also a useful resource for readers to learn statistical programming in both systems. The book is organized into 12 chapters covering a wide range of programming and statistical topics, with both SAS and R code presented for ... Read more

Goodreads reviews for SAS and R: Data Management, Statistical Analysis, and Graphics, Second Edition


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