Elinor Jones, Simon Harden, Michael J. Crawley

The R Book (eBook, PDF)

• Format: PDF

Produktbeschreibung

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.

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Produktdetails

• Verlag: John Wiley & Sons
• Seitenzahl: 880
• Erscheinungstermin: 30. August 2022
• Englisch
• ISBN-13: 9781119634409
• Artikelnr.: 65616548

Autorenporträt

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.

Inhaltsangabe

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