Call number:
9780191091926 (e-book)
Type of Medium:
12
Pages:
1 Online-Ressource (xviii, 231 Seiten)
,
Illustrationen, Diagramme
Edition:
Second edition
ISBN:
978-0-19-109192-6
,
9780191091926 (e-book)
URL:
Fulltext @ Ebook Central (AWI only)
Language:
English
Note:
Contents
Preface
Introduction to the second edition
What this book is about
How the book is organized
Why R?
Updates
Acknowledgements
Chapter 1: Getting and Getting Acquainted with R
1.1 Getting started
1.2 Getting R
1.3 Getting R Studio
1.4 Let's play
1.5 Usin g R as a giant calculator (the size of your computer)
1.6 Your first script
1.7 Intermezzo remarks
1.8 Important functionality: packages
1.9 Getting help
1.10 A mini-practical - some in-depth play
1.11 Some more top tips and hints for a successful first (and more) R experience
Appendix 1a Mini-tutorial solutions
Appendix 1b File extensions and operating systems
Chapter 2: Getting Your Data into R
2.1 Getting data ready for R
2.2 Getting your data into R
2.3 Checking that your data are your data
2.4 Basic troubleshooting while importing data
2.5 Summing up
Appendix Advanced activity: dealing with untidy data
Chapter 3: Data Management, Manipulation, and Exploration with dplyr
3.1 Summary statistics for each variable
3.2 dplyr verbs
3.3 Subsetting
3.4 Transforming
3.5 Sorting
3.6 Mini-summary and two top tips
3.7 Calculating summary statistics about groups of your data
3.8 What have you learned ... lots
Appendix 3a Comparing classic methods and dplyr
Appendix 3b Advanced dplyr
Chapter 4: Visualizing Your Data
4.1 The first step in every data analysis — making a picture
4.2 ggplot2: a grammar for graphics
4.3 Box-and-whisker plots
4.4 Distributions: making histograms of numeric variables
4.5 Saving your graphs for presentation, documents, etc.
4.6 Closing remarks
Chapter 5: Introducing Statistics in R
5.1 Getting started doing statistics in R
5.2 x2 contingency table analysis
5.3 Two-sample t-test
5.4 Introducing ... linear models
5.5 Simple linear regression
5.6 Analysis of variance: the one-way ANOVA
5.7 Wrapping up
Appendix Getting packages not on CRAN
Chapter 6: Advancing Your Statistics in R
6.1 Getting started with more advanced statistics
6.2 The two-way ANOVA
6.3 Analysis of covariance (ANCOVA)
6.4 Overview: an analysis workflow
Chapter 7: Getting Started with Generalized Linear Models
7.1 Introduction
7.2 Counts and rates — Poisson GLMs
7.3 Doing it wrong
7.4 Doing it right — the Poisson GLM
7.5 When a Poisson GLM isn’t good for counts
7.6 Summary, and beyond simple Poisson regression
Chapter 8: Pimping Your Plots: Scales and Themes in ggplot2
8.1 What you already know about graphs
8.2 Preparation
8.3 What you may want to customize
8.4 Axis labels, axis limits, and annotation
8.5 Scales
8.6 The theme
8.7 Summing up
Chapter 9: Closing Remarks: Final Comments and Encouragement
General Appendices
Appendix 1 Data Sources
Appendix 2 Further Reading
Appendix 3 R Markdown
Index
