Previous editions cataloged under main entry for Brian S. Everitt. Num Pages: 456 pages, 153 black & white illustrations, 78 black & white tables. BIC Classification: PBT; UMX. Category: (G) General (US: Trade); (U) Tertiary Education (US: College). Dimension: 235 x 156 x 21. Weight in Grams: 642. . 2014. 3rd Edition. Paperback. . . . . Books ship from the US and Ireland.

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Bibliographic Details

Title: A Handbook of Statistical Analyses using R
Publisher: Taylor & Francis Inc
Publication Date: 2014
Language: English
ISBN 10: 1482204584
ISBN 13: 9781482204582
Binding: Soft cover
Edition: 3rd Edition
Condition: New

About this title

Synopsis

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.

About the Author

Torsten Hothorn, Brian S. Everitt

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