ANOVA: A Short Intro Using R
2020-09-17
Chapter 1 Introduction
These (still incomplete) lecture notes should help you get familiar with
ANOVA and R
. From a methodological point of view, we mostly follow the
book of Oehlert (2010). We try to apply most methods directly in R
. This
means you will see a lot of both R
code and R
output having the
following form.
<- "Let's get started ..."
text paste(text, "now!", sep = " ")
## [1] "Let's get started ... now!"
If you are completely new to R
you can get an overview of online
courses here:
https://education.rstudio.com/.
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.
If you find any errors, inconsistencies or if you miss something in these lecture notes, please e-mail me at meier@stat.math.ethz.ch or fill out the form anonymously at https://goo.gl/ZBvjj9.