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.
"synopsis" may belong to another edition of this title.
Ken Kleinman is an associate professor at Harvard Medical School. His research deals with clustered data analysis, surveillance, and epidemiological applications.
Nicholas J. Horton is an associate professor of statistics at Smith College. His research interests include longitudinal regression models and missing data methods.
"About this title" may belong to another edition of this title.
Seller: World of Books (was SecondSale), Montgomery, IL, U.S.A.
Hardback. Condition: Very Good. Presents a different way to learn how to perform an analytical task in both SAS and R. This book covers many common tasks, along with more complex applications. It provides parallel examples in SAS and R to demonstrate how to use the software and derive identical answers regardless of software choice. Seller Inventory # 00104040836
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Condition: good. A copy that has been read, remains in good condition. All pages are intact, and the cover is intact. The spine and cover show signs of wear. Pages can include notes and highlighting and show signs of wear, and the copy can include "From the library of" labels or previous owner inscriptions. 100% GUARANTEE! Shipped with delivery confirmation, if you're not satisfied with purchase please return item! Ships via media mail. Seller Inventory # OTV.1420070576.G
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Hardcover. Condition: Very Good. 1. It's a well-cared-for item that has seen limited use. The item may show minor signs of wear. All the text is legible, with all pages included. It may have slight markings and/or highlighting. Seller Inventory # 1420070576-8-1
Seller: BooksRun, Philadelphia, PA, U.S.A.
Hardcover. Condition: Very Good. 1. It's a well-cared-for item that has seen limited use. The item may show minor signs of wear. All the text is legible, with all pages included. It may have slight markings and/or highlighting. Seller Inventory # 1420070576-11-1
Seller: Better World Books: West, Reno, NV, U.S.A.
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Seller: Better World Books: West, Reno, NV, U.S.A.
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Seller: BookHolders, Towson, MD, U.S.A.
Condition: Very Good. [ No Hassle 30 Day Returns ][ Ships Daily ] [ Underlining/Highlighting: NONE ] [ Writing: NONE ] [ Edition: first ] Publisher: Chapman & Hall/CRC Pub Date: 7/21/2009 Binding: Hardcover Pages: 343 first edition. Seller Inventory # 6896030
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Hardcover. Condition: Good. Connecting readers with great books since 1972! Used textbooks may not include companion materials such as access codes, etc. May have some wear or writing/highlighting. We ship orders daily and Customer Service is our top priority! Seller Inventory # S_424431969
Seller: World of Books Inc, Montgomery, IL, U.S.A.
Hardback. Condition: Very Good. Presents a different way to learn how to perform an analytical task in both SAS and R. This book covers many common tasks, along with more complex applications. It provides parallel examples in SAS and R to demonstrate how to use the software and derive identical answers regardless of software choice. Seller Inventory # CIN1420070576VG