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内容説明 This is 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 include: 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; and， 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.