Using R for Data Management, Statistical Analysis, and Graphics Ken Kleinman

ISBN: 9781439827550

Published: July 21st 2010

Paperback

275 pages


Description

Using R for Data Management, Statistical Analysis, and Graphics  by  Ken Kleinman

Using R for Data Management, Statistical Analysis, and Graphics by Ken Kleinman
July 21st 2010 | Paperback | PDF, EPUB, FB2, DjVu, audiobook, mp3, RTF | 275 pages | ISBN: 9781439827550 | 8.67 Mb

Quick and Easy Access to Key Elements of DocumentationIncludes worked examples across a wide variety of applications, tasks, and graphicsUsing R for Data Management, Statistical Analysis, and Graphics presents an easy way to learn how to perform anMoreQuick and Easy Access to Key Elements of DocumentationIncludes worked examples across a wide variety of applications, tasks, and graphicsUsing 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.Through the extensive indexing, cross-referencing, and worked examples in this text, users can directly find and implement the material they need.

The text includes convenient indices organized by topic and R syntax. Demonstrating the R code in action and facilitating exploration, the authors present example analyses that employ a single data set from the HELP study. They also provide several case studies of more complex applications. Data sets and code are available for download on the book s website.Helping to improve your analytical skills, this book lucidly summarizes the aspects of R most often used by statistical analysts. New users of R will find the simple approach easy to understand while more sophisticated users will appreciate the invaluable source of task-oriented information.



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