| Preface |
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ix | |
| Introduction to the second edition |
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ix | |
| What this book is about |
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xii | |
| How the book is organized |
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xiv | |
| Why R? |
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xvi | |
| Updates |
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xviii | |
| Acknowledgements |
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xviii | |
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Chapter 1 Getting and Getting Acquainted with R |
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1 | (34) |
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1 | (1) |
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2 | (3) |
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5 | (1) |
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6 | (2) |
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1.5 Using R as a giant calculator (the size of your computer) |
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8 | (7) |
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15 | (6) |
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21 | (1) |
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1.8 Important functionality: packages |
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21 | (3) |
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24 | (2) |
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1.10 A mini-practical---some in-depth play |
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26 | (2) |
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1.11 Some more top tips and hints for a successful first (and more) R experience |
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28 | (7) |
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Appendix 1a Mini-tutorial solutions |
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29 | (1) |
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Appendix 1b File extensions and operating systems |
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30 | (5) |
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Chapter 2 Getting Your Data into R |
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35 | (22) |
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2.1 Getting data ready for R |
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35 | (5) |
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2.2 Getting your data into R |
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40 | (5) |
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2.3 Checking that your data are your data |
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45 | (3) |
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2.4 Basic troubleshooting while importing data |
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48 | (1) |
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49 | (8) |
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Appendix Advanced activity: dealing with untidy data |
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50 | (7) |
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Chapter 3 Data Management, Manipulation, and Exploration with dplyr |
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57 | (22) |
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3.1 Summary statistics for each variable |
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58 | (1) |
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59 | (1) |
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60 | (7) |
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67 | (1) |
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68 | (1) |
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3.6 Mini-summary and two top tips |
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69 | (1) |
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3.7 Calculating summary statistics about groups of your data |
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70 | (3) |
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3.8 What have you learned ... lots |
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73 | (6) |
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Appendix 3a Comparing classic methods and dplyr |
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73 | (1) |
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Appendix 3b Advanced dplyr |
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74 | (5) |
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Chapter 4 Visualizing Your Data |
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79 | (14) |
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4.1 The first step in every data analysis---making a picture |
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79 | (1) |
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4.2 ggplot2: a grammar for graphics |
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80 | (5) |
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4.3 Box-and-whisker plots |
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85 | (2) |
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4.4 Distributions: making histograms of numeric variables |
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87 | (3) |
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4.5 Saving your graphs for presentation, documents, etc. |
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90 | (1) |
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91 | (2) |
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Chapter 5 Introducing Statistics in R |
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93 | (38) |
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5.1 Getting started doing statistics in R |
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93 | (2) |
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5.2 Χ2 contingency table analysis |
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95 | (8) |
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103 | (5) |
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5.4 Introducing ... linear models |
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108 | (1) |
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5.5 Simple linear regression |
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109 | (9) |
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5.6 Analysis of variance: the one-way ANOVA |
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118 | (10) |
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128 | (3) |
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Appendix Getting packages not on CRAN |
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128 | (3) |
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Chapter 6 Advancing Your Statistics in R |
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131 | (36) |
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6.1 Getting started with more advanced statistics |
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131 | (1) |
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131 | (14) |
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6.3 Analysis of covariance (ANCOVA) |
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145 | (19) |
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6.4 Overview: an analysis workflow |
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164 | (3) |
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Chapter 7 Getting Started with Generalized Linear Models |
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167 | (36) |
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167 | (3) |
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7.2 Counts and rates---Poisson GLMs |
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170 | (3) |
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173 | (4) |
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7.4 Doing it right---the Poisson GLM |
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177 | (17) |
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7.5 When a Poisson GLM isn't good for counts |
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194 | (7) |
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7.6 Summary, and beyond simple Poisson regression |
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201 | (2) |
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Chapter 8 Pimping Your Plots: Scales and Themes in ggplot2 |
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203 | (16) |
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8.1 What you already know about graphs |
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203 | (1) |
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204 | (2) |
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8.3 What you may want to customize |
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206 | (1) |
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8.4 Axis labels, axis limits, and annotation |
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207 | (2) |
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209 | (3) |
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212 | (6) |
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218 | (1) |
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Chapter 9 Closing Remarks: Final Comments and Encouragement |
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219 | (4) |
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223 | (4) |
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223 | (1) |
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Appendix 2 Further Reading |
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224 | (1) |
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225 | (2) |
| Index |
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227 | |
