A Handbook of Statistical Analyses Using R, Second Edition
Hothorn, Torsten; Everitt, Brian S.
Sold by RiLaoghaire, Knoxville, TN, U.S.A.
AbeBooks Seller since 19 May 2004
Used - Soft cover
Condition: Good
Quantity: 1 available
Add to basketSold by RiLaoghaire, Knoxville, TN, U.S.A.
AbeBooks Seller since 19 May 2004
Condition: Good
Quantity: 1 available
Add to basket355 numbered pages; names to edges of closed pages; very light wear to corners and edges of mostly purple cover; minor rub to cover; a few minor dings to cover; weighs 1 pound and 3 ounces; measures 9.2 by 6 by .8 inches; 042023; 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.
Seller Inventory # 19864
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
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.
Brian S. Everitt is Professor Emeritus at King’s College, University of London.
Torsten Hothorn is Professor of Biostatistics in the Institut für Statistik at Ludwig-Maximilians-Universität München.
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