A Handbook of Statistical Analyses using R, Third Edition

Torsten Hothorn, Brian S. Everitt

June 25, 2014 by Chapman and Hall/CRC
Reference - 456 Pages - 153 B/W Illustrations
ISBN 9781482204582 - CAT# K21384

USD$67.95

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Features

  • Presents straightforward descriptions of how to use R and interpret the results
  • Gives an introduction to R for novices, covering basic concepts and common data manipulation techniques
  • Shows how to obtain informative graphical output by applying the appropriate R functions
  • Includes more examples and exercises that encourage hands-on practice with R
  • Offers the data, R code, and lecture slides in the HSAUR3 package available from CRAN

Summary

Like the best-selling first two editions, A Handbook of Statistical Analyses using R, Third Edition provides an up-to-date guide to data analysis using the R system for statistical computing. The book explains how to conduct a range of statistical analyses, from simple inference to recursive partitioning to cluster analysis.

New to the Third Edition

  • Three new chapters on quantile regression, missing values, and Bayesian inference
  • Extra material in the logistic regression chapter that describes a regression model for ordered categorical response variables
  • Additional exercises
  • More detailed explanations of R code
  • New section in each chapter summarizing the results of the analyses
  • Updated version of the HSAUR package (HSAUR3), which includes some slides that can be used in introductory statistics courses

Whether you’re a data analyst, scientist, or student, this handbook shows you how to easily use R to effectively evaluate your data. With numerous real-world examples, it emphasizes the practical application and interpretation of results.

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