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Academic & Professional Books  Reference  Data Analysis & Modelling  R (Programming Language)

Using R for Data Management, Statistical Analysis, and Graphics

Handbook / Manual Out of Print
By: Nicholas Horton and Ken Kleinman
275 pages, 35 illus, 8 tabs
Publisher: CRC Press
Using R for Data Management, Statistical Analysis, and Graphics
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  • Using R for Data Management, Statistical Analysis, and Graphics ISBN: 9781439827550 Paperback Jul 2010 Out of Print #186170
About this book Contents Related titles

About this book

Organized by analytic task, this compendium provides a concise yet thorough overview of the use of R for data management, statistical analysis, and graphics.

Through simple code and worked examples, the text demonstrates how to undertake common tasks, ranging from matrix operations and linear regression to model diagnostics and multivariate statistics. It includes a subject index, R command index, and extensive cross-referencing, enabling readers to locate the required code very easily. The code is supported by detailed worked examples, including plenty of output to show how the methods can be put into practice.

Contents

Data Management.
Common Statistical Procedures.
Linear Regression and ANOVA.
Regression Generalizations.
Graphics.
Other Topics and Extended Examples.
Appendices.
Indices.

Customer Reviews

Handbook / Manual Out of Print
By: Nicholas Horton and Ken Kleinman
275 pages, 35 illus, 8 tabs
Publisher: CRC Press
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