This website contains a collection of material for introductory statistics courses with R. The aim is to provide insight in fundamental principles and an overview to enable students to select and understand specialized books and online material to dig in deeper in the diverse and fascinating field of statistical computing.
The corresponding lab exercises are found at https://tpetzoldt.github.io/element-labs/.
Status
The selection of topics reflects what I think is useful as door-opener into various fields, useful in ecology and aquatic sciences. It is an ongoing project based on former PDF slides and other course material, constructive comments and suggestions for improvement are welcome.
Further reading
- Dalgaard, P, 2008: Introductory Statistics with R. Springer Verlag, New York, 2nd edition. https://link.springer.com/book/10.1007/b97671
- Kleiber, C and Zeileis, A, 2008: Applied Econometrics with R. Springer Verlag, New York. https://link.springer.com/book/10.1007/978-0-387-77318-6
- Verzani, J, 2014: Using R for introductory statistics. CRC press. https://www.routledge.com/Using-R-for-Introductory-Statistics/Verzani/p/book/9781466590731
- Wickham, H., Çetinkaya-Rundel, M and Grolemund, G, 2023: R for Data Science. https://r4ds.hadley.nz/