A Handbook of Statistical Analyses Using R, Second Edition

Hothorn, Torsten; Everitt, Brian S.

ISBN 10: 1420079336 / ISBN 13: 9781420079333

Edité par 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.

À propos de l?auteur: 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.

Détails bibliographiques

Titre : A Handbook of Statistical Analyses Using R, ...
Éditeur : Chapman and Hall/CRC
Date d'édition : 2009
Reliure : Couverture souple
Etat : Good
Edition : 2ème Édition