Brian S. Everitt, Torsten Hothorn, "A Handbook of Statistical Analyses Using R, Second Edition" English | 2010 | ISBN-10: 1420079336 | 361 pages | PDF | 4 MB
Like its bestselling predecessor, 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.
Title: A Handbook of Statistical Analyses Using R Second Edition
Size: 3.71 MB | Format: pdf
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