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A Handbook of Statistical Analyses using R
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Product Details
Author:
Torsten Hothorn
Format:
Paperback
Pages:
304
Publisher:
CRC Press (June 25, 2014)
Language:
English
ISBN-13:
9781482204582
Weight:
22.75oz
Dimensions:
6.125" x 9.1875"
File:
TAYLORFRANCIS-TayFran_260403050944986-20260403.xml
Folder:
TAYLORFRANCIS
List Price:
$96.99
Case Pack:
18
As low as:
$92.14
Publisher Identifier:
P-CRC
Discount Code:
H
Audience:
Professional and scholarly
Country of Origin:
United States
Pub Discount:
30
Imprint:
Chapman and Hall/CRC
Overview
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.
