Details

The R Book


The R Book


3. Aufl.

von: Elinor Jones, Simon Harden, Michael J. Crawley

76,99 €

Verlag: Wiley
Format: PDF
Veröffentl.: 30.08.2022
ISBN/EAN: 9781119634409
Sprache: englisch
Anzahl Seiten: 880

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Beschreibungen

<p><b>A start-to-finish guide to one of the most useful programming languages for researchers in a variety of fields </b></p> <p>In the newly revised Third Edition of <i>The R Book</i>, 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.</p> <p>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:</p> <ul> <li>A thorough introduction to fundamental concepts in statistics and step-by-step roadmaps to their implementation in R;</li> <li>Comprehensive explorations of worked examples in R;</li> <li>A complementary companion website with downloadable datasets that are used in the book;</li> <li>In-depth examination of essential R packages.</li> </ul> <p>Perfect for undergraduate and postgraduate students of science, engineering, medicine economics, and geography, <i>The R Book</i> will also earn a place in the libraries of social sciences professionals.</p>
<p>Preface</p> <p>1 Getting started 1</p> <p>2 Technical background 17</p> <p>3 Essentials of the R language 55</p> <p>4 Data input and dataframes 195</p> <p>5 Graphics 235</p> <p>6 Graphics in more detail 289</p> <p>7 Tables 357</p> <p>8 Probability distributions in R 369</p> <p>9 Testing 401</p> <p>10 Regression    433</p> <p>11 Generalised Linear Models 495</p> <p>12 Generalised Additive Models 575</p> <p>13 Mixed-effect models 599</p> <p>14 Non-linear regression 627</p> <p>15 Survival analysis 651</p> <p>16 Designed experiments 669</p> <p>17 Meta-analysis 701</p> <p>18 Time Series 717</p> <p>19 Multivariate Statistics 743</p> <p>20 Classification and regression trees 765</p> <p>21 Spatial Statistics 785</p> <p>22 Bayesian Statistics 807</p> <p>23 Simulation models 833</p>
<p><b>Elinor Jones, PhD, </b>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. <p><b>Simon Harden, PhD, </b>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. <p><b>Michael J Crawley FRS </b>is Emeritus Professor of Plant Ecology at Imperial College London.

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