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__*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... more
__
__*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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