Freshly Printed - allow 7 days lead
Couldn't load pickup availability
The R Book
Elinor Jones (Author), Simon Harden (Author), Michael J. Crawley (Author)
9781119634324, Wiley
Hardback, published 6 October 2022
880 pages
25.6 x 21.3 x 4.8 cm, 2.155 kg
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: 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.
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
Subject Areas: Mathematics [PB]
