The R book / Elinor Jones, Simon Harden, Michael J Crawley.

By: Jones, Elinor (Associate Professor) [author.]
Contributor(s): Crawley, Michael J [author.] | Harden, Simon [author.]
Language: English Publisher: Hoboken, NJ : John Wiley & Sons Ltd, 2023Copyright date: ©2023Edition: Third editionDescription: 1 online resource : illustrations (some color)Content type: text Media type: computer Carrier type: online resourceISBN: 9781119634324 ; 1119634407 ; 1119634466; 9781119634409; 1119634431; 9781119634430; 9781119634461Subject(s): Mathematical statistics -- Data processing | R (Computer program language)Genre/Form: Electronic books.DDC classification: 005.5/5 LOC classification: QA276.45.R3 | J66 2023Online resources: Full text available at Wiley Online Library Click here to view.
Contents:
Table of Contents 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
Summary: "The R language is recognized as one of the most powerful and flexible statistical software packages, enabling users to apply many statistical techniques that would be impossible without such software to help implement such large data sets. R has become an essential tool for understanding and carrying out research. This edition introduces the advantages of the R environment, in a user-friendly format, to beginners and intermediate users in a range of disciplines, from science and engineering to medicine and economics. The format enables it to be either read as a text, or dipped-into as a reference manual. This third edition: Uses RStudio, instead of native R, which provides a far more user-friendly environment for those new to R Revised to account for the evolution of R over the past seven years including new developments and modern teaching methods Takes readers from a starting point of no knowledge of R or programming in general, and very little knowledge of statistics, through to advanced techniques Provides a comprehensive introduction to most areas of statistics used by non-statisticians, with minimal mathematics Explains concepts and how to implement them in R with in-depth discussion on how to interpret the resulting output Contains a large number of worked examples in R Companion website available with downloadable datasets, slides and other teaching materials Introduces modern ideas in handling data in R, e.g. the tidyverse. Features full colour text and extensive graphics throughout Features a fully revised and updated bibliography and reference section."-- Provided by publisher.
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Item type Current location Home library Call number Status Date due Barcode Item holds
EBOOK EBOOK COLLEGE LIBRARY
COLLEGE LIBRARY
005.55 J7101 2022 (Browse shelf) Available CL-51282
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Includes bibliographical references and index.

Table of Contents
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

"The R language is recognized as one of the most powerful and flexible statistical software packages, enabling users to apply many statistical techniques that would be impossible without such software to help implement such large data sets. R has become an essential tool for understanding and carrying out research. This edition introduces the advantages of the R environment, in a user-friendly format, to beginners and intermediate users in a range of disciplines, from science and engineering to medicine and economics. The format enables it to be either read as a text, or dipped-into as a reference manual. This third edition: Uses RStudio, instead of native R, which provides a far more user-friendly environment for those new to R Revised to account for the evolution of R over the past seven years including new developments and modern teaching methods Takes readers from a starting point of no knowledge of R or programming in general, and very little knowledge of statistics, through to advanced techniques Provides a comprehensive introduction to most areas of statistics used by non-statisticians, with minimal mathematics Explains concepts and how to implement them in R with in-depth discussion on how to interpret the resulting output Contains a large number of worked examples in R Companion website available with downloadable datasets, slides and other teaching materials Introduces modern ideas in handling data in R, e.g. the tidyverse. Features full colour text and extensive graphics throughout Features a fully revised and updated bibliography and reference section."-- Provided by publisher.

About the Author
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.

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