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Using R for Data Management, Statistical Analysis, and Graphics by Nicholas J. Horton, Ken Kleinman is a mathematics available to read on EtoBox.

What is Using R for Data Management, Statistical Analysis, and Graphics about?

Quick and Easy Access to Key Elements of Documentation Includes worked examples across a wide variety of applications, tasks, and graphics Using 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

Who reads Using R for Data Management, Statistical Analysis, and Graphics?

Author

Nicholas J. Horton, Ken Kleinman

Publisher

CRC Press LLC

Published

2010

Language

EN

ISBN

9781439827550

Category

mathematics

Subjects

Mathematics, Computer Science, Management

Rating

3.3 / 5 (5 ratings)

Updated

2026-03-14