355 numbered pages; names to edges of closed pages; very light wear to corners and edges of mostly purple cover; minor rub to cover; a few minor dings to cover; weighs 1 pound and 3 ounces; measures 9.2 by 6 by .8 inches; 042023; 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.

Bestandsnummer des Verk�ufers 19864

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Bibliografische Details

Titel

A Handbook of Statistical Analyses Using R, Second Edition

Verlag

Chapman and Hall/CRC

Erscheinungsjahr

2010

Sprache

Englisch

ISBN-10

1420079336

ISBN-13

9781420079333

Einband

Soft cover

Auflage

2nd Edition

Zustand

Good

Verk�uferkataloge

Statistics

�ber 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.

�ber 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 f�r Statistik at Ludwig-Maximilians-Universit�t M�nchen.

��ber diesen Titel� kann sich auf eine andere Ausgabe dieses Titels beziehen.

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