A Handbook of Statistical Analyses Using R, Second Edition

Hothorn, Torsten

ISBN 10: 1420079336 / ISBN 13: 9781420079333

Published by Chapman and Hall/CRC, 2009

About this Item

Most items will be dispatched the same or the next working day. An apparently unread copy in perfect condition. Dust cover is intact with no nicks or tears. Spine has no signs of creasing. Pages are clean and not marred by notes or folds of any kind. Seller Inventory # wbs8828246595

Bibliographic Details

Title: A Handbook of Statistical Analyses Using R, ...

Publisher: Chapman and Hall/CRC

Publication Date: 2009

Binding: Soft cover

Condition: Like New

Edition: 2nd Edition

About this title

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.