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ebooks and tutorials: A Handbook of Statistical Analyses Using R, Second Edition

by: ubut (2 November 2009)

A Handbook of Statistical Analyses Using R, Second Edition
A Handbook of Statistical Analyses Using R, Second Edition By Brian S. Everitt, Torsten Hothorn
Chapman & Hall/CRC | 1420079336 | 2009-07-20 | 376 pages | PDF | 4.3 Mb


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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