Resources

A collection of resources to read up on topics covered or dive even deeper.

Jannik Buhr https://jmbuhr.de
11-02-2020

Links

Learning R can be quite the journey. This is why I am collecting useful links to more resources on this extra page. Some will help you understand the topics covered, some dive deeper and some will be interesting if you want to discover more cool things you can do with R.

Learning the tidyverse

Learning Rmarkdown

Learning R in general

Learning Statistics

Talks, Podcasts, Blogs, Videos

Just some of the people with inspiring blogposts, videos and the likes.

Misc

Package Documentation

Books and Manuals

Getting Help

Lists of Resources

The meta section. This is a list of lists:

“Artwork by @Allison_horst.” 2020. https://github.com/allisonhorst/stats-illustrations.
Chang, Winston. 2013. R Graphics Cookbook: Practical Recipes for Visualizing Data. 1 edition. Beijing Cambridge Farnham Köln Sebastopol Tokyo: O’Reilly Media.
Grolemund, Garrett, and Hadley Wickham. 2014. Hands-On Programming with R: Write Your Own Functions and Simulations. Sebastopol, CA: O’Reilly Media.
Healy, Kieran. 2018. Data Visualization: A Practical Introduction. 1 edition. Princeton, NJ: Princeton University Press.
Kim, Chester Ismay and Albert Y. 2019. Statistical Inference via Data Science. CRC Press.
Motulsky, Harvey. 2017. Intuitive Biostatistics: A Nonmathematical Guide to Statistical Thinking. 4 edition. New York: Oxford University Press.
Reinhart, Alex. 2015. Statistics Done Wrong: The Woefully Complete Guide. 1 edition. San Francisco: No Starch Press.
Wickham, Hadley. 2015. R Packages: Organize, Test, Document, and Share Your Code. 1 edition. Sebastopol, CA: O’Reilly Media.
———. 2019. Advanced R, Second Edition. 2 edition. Boca Raton: Chapman and Hall/CRC.
Wickham, Hadley, and Garrett Grolemund. 2017. R for Data Science: Import, Tidy, Transform, Visualize, and Model Data. 1 edition. Sebastopol, CA: O’Reilly Media.

References

Corrections

If you see mistakes or want to suggest changes, please create an issue on the source repository.

Reuse

Text and figures are licensed under Creative Commons Attribution CC BY 4.0. Source code is available at https://github.com/jmbuhr/dataIntro20, unless otherwise noted. The figures that have been reused from other sources don't fall under this license and can be recognized by a note in their caption: "Figure from ...".