This is an ex-library book and may have the usual library/used-book markings inside.This book has soft covers. In poor condition, suitable as a reading copy. Please note the Image in this listing is a stock photo and may not match the covers of the actual item,650grams, ISBN:9781420079333.

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Detalles bibliogr�ficos

T�tulo

A Handbook of Statistical Analyses Using R

Editor

Chapman And Hall/Crc

Fecha de publicaci�n

2010

Idioma

Ingl�s

ISBN 10

1420079336

ISBN 13

9781420079333

Encuadernaci�n

Encuadernaci�n de tapa blanda

Edici�n

2� Edici�n

Estado

Poor

Cat�logos de vendedores

Education

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Sinopsis

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.

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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.

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