A Handbook of Statistical Analyses Using R Second Edition 内容简介

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 inferenceA 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 distributionNew examples and additional exercises in several chaptersA 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.

A Handbook of Statistical Analyses Using R Second Edition 精彩文摘

1.1 What is R?

The R system for statistical computing is an environment for data analysis and graphics. The root of R is the S language, developed by John Chambers and colleagues (Becker et al., 1988, Chambers and Hastie, 1992, Chambers, 1998) at Bell Laboratories (formerly AT&T, now owned by Lucent Technologies) starting in the 1960ies. The S language was designed and developed as a
programming language for data analysis tasks but in fact it is a full-featured programming language in its current implementations.