A Handbook of Statistical Analyses Using R, Second Edition

Torsten Hothorn; Brian S. Everitt

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ISBN 10: 1420079336 ISBN 13: 9781420079333
Published by Chapman and Hall/CRC, 2009
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Synopsis:

A Proven Guide for Easily Using R to Effectively Analyze Data

Like its bestselling predecessor, A Handbook of Statistical Analyses Using R, Second Edition provides a guide to data analysis using the R system for statistical computing. Each chapter includes a brief account of the relevant statistical background, along with appropriate references.

New to the Second Edition

  • New chapters on graphical displays, generalized additive models, and simultaneous inference
  • A new section on generalized linear mixed models that completes the discussion on the analysis of longitudinal data where the response variable does not have a normal distribution
  • New examples and additional exercises in several chapters
  • A new version of the HSAUR package (HSAUR2), which is available from CRAN

This edition continues to offer straightforward descriptions of how to conduct a range of statistical analyses using R, from simple inference to recursive partitioning to cluster analysis. Focusing on how to use R and interpret the results, it provides students and researchers in many disciplines with a self-contained means of using R to analyze their data.

About the Author:

Brian S. Everitt is Professor Emeritus at King’s College, University of London.

Torsten Hothorn is Professor of Biostatistics in the Institut für Statistik at Ludwig-Maximilians-Universität München.

"About this title" may belong to another edition of this title.

Bibliographic Details

Title: A Handbook of Statistical Analyses Using R, ...
Publisher: Chapman and Hall/CRC
Publication Date: 2009
Binding: Paperback
Condition: Very Good
Dust Jacket Condition: No Jacket
Edition: 2nd Edition

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