
The R Book 3e
E Jones(Author)
Wiley-Blackwell (Publisher)
3rd Edition
Published on 15. September 2022
Book
Hardback
896 pages
978-1-119-63432-4 (ISBN)
Description
A start-to-finish guide to one of the most useful programming languages for researchers in a variety of fields
In the newly revised Third Edition of The R Book, a team of distinguished teachers and researchers delivers a user-friendly and comprehensive discussion of foundational and advanced topics in the R software language, which is used widely in science, engineering, medicine, economics, and other fields. The book is designed to be used as both a complete text-readable from cover to cover-and as a reference manual for practitioners seeking authoritative guidance on particular topics.
This latest edition offers instruction on the use of the RStudio GUI, an easy-to-use environment for those new to R. It provides readers with a complete walkthrough of the R language, beginning at a point that assumes no prior knowledge of R and very little previous knowledge of statistics. Readers will also find:
A thorough introduction to fundamental concepts in statistics and step-by-step roadmaps to their implementation in R;
Comprehensive explorations of worked examples in R;
A complementary companion website with downloadable datasets that are used in the book;
In-depth examination of essential R packages.
Perfect for undergraduate and postgraduate students of science, engineering, medicine economics, and geography, The R Book will also earn a place in the libraries of social sciences professionals.
In the newly revised Third Edition of The R Book, a team of distinguished teachers and researchers delivers a user-friendly and comprehensive discussion of foundational and advanced topics in the R software language, which is used widely in science, engineering, medicine, economics, and other fields. The book is designed to be used as both a complete text-readable from cover to cover-and as a reference manual for practitioners seeking authoritative guidance on particular topics.
This latest edition offers instruction on the use of the RStudio GUI, an easy-to-use environment for those new to R. It provides readers with a complete walkthrough of the R language, beginning at a point that assumes no prior knowledge of R and very little previous knowledge of statistics. Readers will also find:
A thorough introduction to fundamental concepts in statistics and step-by-step roadmaps to their implementation in R;
Comprehensive explorations of worked examples in R;
A complementary companion website with downloadable datasets that are used in the book;
In-depth examination of essential R packages.
Perfect for undergraduate and postgraduate students of science, engineering, medicine economics, and geography, The R Book will also earn a place in the libraries of social sciences professionals.
More details
Language
English
Place of publication
Hoboken
United States
Publishing group
John Wiley and Sons Ltd
Target group
Professional and scholarly
Dimensions
Height: 260 mm
Width: 209 mm
Thickness: 44 mm
Weight
2288 gr
ISBN-13
978-1-119-63432-4 (9781119634324)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Other editions
Additional editions

Elinor Jones | Simon Harden | Michael J. Crawley
The R Book
E-Book
09/2022
3rd Edition
Wiley
€78.99
Available for download

Elinor Jones | Simon Harden | Michael J. Crawley
The R Book
E-Book
08/2022
3rd Edition
Wiley
€78.99
Available for download
Previous edition

Michael J. Crawley
The R Book
Book
12/2012
2nd Edition
Wiley
Unfortunately, price unknown
Article exhausted; check for reprint
Person
Elinor Jones, PhD, is an Associate Professor (Teaching) in the Department of Statistical Science at University College London. She is an experienced teacher with a background in statistics consultancy in a range of fields.
Simon Harden, PhD, is an Associate Professor (Teaching) in the Department of Statistical Science at University College London. He has taught R and statistics to people with a wide range of backgrounds, and has experience working in finance and IT.
Michael J Crawley FRS is Emeritus Professor of Plant Ecology at Imperial College London.
Simon Harden, PhD, is an Associate Professor (Teaching) in the Department of Statistical Science at University College London. He has taught R and statistics to people with a wide range of backgrounds, and has experience working in finance and IT.
Michael J Crawley FRS is Emeritus Professor of Plant Ecology at Imperial College London.
Content
Preface
1 Getting started 1
2 Technical background 17
3 Essentials of the R language 55
4 Data input and dataframes 195
5 Graphics 235
6 Graphics in more detail 289
7 Tables 357
8 Probability distributions in R 369
9 Testing 401
10 Regression 433
11 Generalised Linear Models 495
12 Generalised Additive Models 575
13 Mixed-effect models 599
14 Non-linear regression 627
15 Survival analysis 651
16 Designed experiments 669
17 Meta-analysis 701
18 Time Series 717
19 Multivariate Statistics 743
20 Classification and regression trees 765
21 Spatial Statistics 785
22 Bayesian Statistics 807
23 Simulation models 833
1 Getting started 1
2 Technical background 17
3 Essentials of the R language 55
4 Data input and dataframes 195
5 Graphics 235
6 Graphics in more detail 289
7 Tables 357
8 Probability distributions in R 369
9 Testing 401
10 Regression 433
11 Generalised Linear Models 495
12 Generalised Additive Models 575
13 Mixed-effect models 599
14 Non-linear regression 627
15 Survival analysis 651
16 Designed experiments 669
17 Meta-analysis 701
18 Time Series 717
19 Multivariate Statistics 743
20 Classification and regression trees 765
21 Spatial Statistics 785
22 Bayesian Statistics 807
23 Simulation models 833