A Handbook of Statistical Analyses Using R

by Torsten Hothorn, Brian S. Everitt

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."

Genres: Nonfiction

452 pages, Paperback

First published February 17, 2006

Reviews

[Darin]

This is not your standard statistics book nor your standard book on R. It is best for people who already know something about each. Each chapter is devoted to different statistical topics, but in each the author analyzes a different data set showing each step as it would be implemented using R.

[Quazirfan · Rating 1 out of 5]

I've found the book lacking direction. The author tried to cover both the mathematical and the practical side and failed to do both in my experience.