⚠ 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This site is no longer maintained and may contain outdated information.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:

Hi there!

DSFAIR - Data Science for Agriculture in R provides a cookbook with statistical analyses of typical examples in life sciences (focus on experimental agriculture/biology/ecology). It can be seen as the younger brother of MMFAIR - Mixed Models for Agriculture in R, because it deals with more basic analyses. Where possible, I try to use example data/analyses that have been published in university lecture notes or peer-reviewed journals. Note that CrashcouRse - R für Bio- und Agrarwissenschaftler is the German predecessor of this website.

In terms of R syntax, I generally try to follow the approach presented on the “R for Data Science” website, often making use of the following packages:

Here are some tips to help you prepare for an upcoming workshop!

 

Please feel free to contact me about any of this!

schmidtpaul1989@outlook.com