A Handbook of Statistical Analyses Using R, Second Edition Hothorn, Torsten and Everitt, Brian S.

Hothorn, Torsten; Everitt, Brian S.

ISBN 10: 1420079336 / ISBN 13: 9781420079333

Verlag: Chapman and Hall/CRC, 2009

Beschreibung

clean well kept paperback copy, covers intact, no stains, stickers, or marks.

Bestandsnummer des Verkäufers MAPA-3773-06-24-2022

Bibliografische Details

• Titel: A Handbook of Statistical Analyses Using R, Second Edition Hothorn, Torsten and Everitt, Brian S.
• Verlag: Chapman and Hall/CRC
• Erscheinungsjahr: 2009
• Sprache: Englisch
• ISBN-10: 1420079336
• ISBN-13: 9781420079333
• Einband: paperback
• Auflage: 2. Auflage
• Zustand: Very Good

Über diesen Titel

Inhaltsangabe

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.

Über die Autorin bzw. den Autor

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.