A Handbook of Statistical Analyses Using R

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.

Author: Torsten Hothorn,Brian S. Everitt
Publisher: CRC Press
Published: 06/25/2014
Pages: 304
Binding Type: Paperback
Weight: 1.41lbs
Size: 9.10h x 6.10w x 0.90d
ISBN: 9781482204582