A Handbook of Statistical Analyses Using R - Couverture souple

Hothorn, Torsten; Everitt, Brian S.

Couverture souple

ISBN 10 : 1420079336 ISBN 13 : 9781420079333

Editeur : Chapman & Hall/CRC, 2009

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.

A propos du livre

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 de l'édition

• Éditeur: Chapman & Hall/CRC
• Date d'édition: 2009
• Langue: anglais
• ISBN 10: 1420079336
• ISBN 13: 9781420079333
• Reliure: Broché
• Numéro d'édition: 2
• Nombre de pages: 376
• Coordonnées du fabricant: non disponible
• Personne responsable: non disponible