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About A Handbook Of Statistical Analyses Using R (Second Edition)
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.
Detailed Information
| Author: | Torsten Hothorn, Brian S. Everitt |
|---|---|
| Publication Year: | 2009 |
| ISBN: | 387954570 |
| Pages: | 376 |
| Language: | other |
| File Size: | 4.7085 |
| Format: | |
| Price: | FREE |
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