Preface1 Getting started 12 Technical background 173 Essentials of the R language 554 Data input and dataframes 1955 Graphics 2356 Graphics in more detail 2897 Tables 3578 Probability distributions in R 3699 Testing 40110 Regression 43311 Generalised Linear Models 49512 Generalised Additive Models 57513 Mixed-effect models 59914 Non-linear regression 62715 Survival analysis 65116 Designed experiments 66917 Meta-analysis 70118 Time Series 71719 Multivariate Statistics 74320 Classification and regression trees 76521 Spatial Statistics 78522 Bayesian Statistics 80723 Simulation models 833
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.
