A Handbook of Statistical Analyses Using R, Second Edition

Torsten Hothorn, Brian S. Everitt

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Features

    • Shows how to obtain informative graphical output using R
    • Provides R code so readers can perform their own analyses
    • Emphasizes the practical application and interpretation of results rather than focusing on the theory behind the analyses
    • Offers an introduction to R, including a summary of its most important features
    • Contains many examples and exercises

    Summary

    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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