A Handbook of Statistical Analyses Using R

By Torsten Hothorn and Brian S. Everitt

Book Overview

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.

• Format: Paperback
• Language: English
• ISBN: 1420079336
• ISBN13: 9781420079333
• Release Date: July 2009
• Publisher: CRC Press
• Length: 355 Pages
• Weight: 1.20 lbs.
• Dimensions: 0.9" x 5.9" x 9.1"