ANOVA: A Short Intro Using R
Chapter 1 Introduction
These (still incomplete) lecture notes should help you get familiar with
R. From a methodological point of view, we mostly follow the
book of Oehlert (2010). We try to apply most methods directly in
means you will see a lot of both
R code and
R output having the
##  "Let's get started ... now!"
If you are completely new to
R you can get an overview of online
We expect that you have already attended an introductory course to probability and statistics covering the basic concepts of statistical inference (estimation, hypothesis tests, confidence intervals) up to the two-sample \(t\)-test.
Oehlert, Gary. 2010. A First Course in Design and Analysis of Experiments. http://users.stat.umn.edu/~gary/book/fcdae.pdf.