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A Handbook Of Statistical Analyses Using R by Brian Sidney Everitt; Torsten Hothorn is a nonfiction available to read on EtoBox.
What is A Handbook Of Statistical Analyses Using R about?
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.;Front Cover -- Dedication -- Preface to Second Edition -- Pref
Who reads A Handbook Of Statistical Analyses Using R?
It is typically read by self-directed learners exploring a subject in depth.
Common subject areas: history, science, philosophy, social sciences.
- Author
- Brian Sidney Everitt; Torsten Hothorn
- Publisher
- Chapman and Hall/CRC Press
- Published
- 2009
- Language
- EN
- ISBN
- 9781282293571
- Category
- nonfiction
- Subjects
- Computer Science, Mathematics, Programming
Other editions & translations
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