⚠ Hey, nice that you're here! BUT...
This site is no longer maintained and may contain outdated information. I'm keeping it online because I once promised to never take it down – but I've since built a much better, up-to-date resource. I'd really appreciate if you checked it out and found the corresponding chapter there:
⚠ Hi, schön, dass du hier bist, ABER...
Diese Seite wird nicht mehr gepflegt und enthält möglicherweise veraltete Informationen. Ich habe versprochen sie online zu lassen, also bleibt sie stehen – aber alle Inhalte wurden überarbeitet, verbessert und auf einer neuen Seite zusammengeführt. Schau bitte stattdessen dort vorbei:

Data Science for Agriculture in R

Author
Affiliations

Paul Schmidt

Last updated

October 1, 2023

DSFAIR - Data Science for Agriculture in R starts out as a step-by-step introduction to R while its later chapters are more of a cookbook with statistical analyses of typical examples in life sciences with focus on experimental agriculture, biology, ecology and other related fields.

Important

This website is currently under construction. I am trying to gather three of my older websites into this one with quarto. The previous websites are still online: CrashcouRse, DSFAIR & MMFAIR.

Workshops

Moreover, the chapters published here serve as the basis for any of my R‑Workshops. Check out the “Prepare for an upcoming workshop” chapter and the list of previous workshops.

Citation

BibTeX citation:
@online{schmidt2023,
  author = {Paul Schmidt},
  title = {Data {Science} for {Agriculture} in {R}},
  date = {2023-10-01},
  url = {https://schmidtpaul.github.io/dsfair_quarto//},
  langid = {en}
}
For attribution, please cite this work as:
Paul Schmidt. 2023. “Data Science for Agriculture in R.” October 1, 2023. https://schmidtpaul.github.io/dsfair_quarto//.