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An Introduction to R for Beginners

August 2019

Edition: 17 August 2019
Publisher: Sasha D. Hafner (copyright S. D. Hafner)

Authors:

Aarhus University

This is a workbook for a course on data analysis and graphics in R that I have taught. It might be helpful for new users getting started with R on their own. CONTENTS: 1. Orientation | 2. Introduction to R | 3. Operators and functions | 4. Code, data, and file organization | 5. Getting help | 6. Working with add-on packages | 7. The tidyverse packages | 8. Data types and data objects | 9. Data frames, data import, and data export | 10. Working with vectors | 11. Factors | 12. Dates and times | 13. Exploratory data analysis | 14. Basic data manipulation | 15. More on data manipulation: aggregating and summarizing data | 16. Introduction to base graphics | 17. ggplot2 graphics | 18. t-tests | 19. Linear regression | 20. Analysis of variance and analysis of covariance | 21. Generalized linear models | 22. Random and mixed-effects models | 23. Nonlinear regression | 24. Basic R programming | 25. Base graphics, part II | 26. Dynamic documents | 27. Common mistakes | 28. Where to go next |

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