by Ralf B. Schäfer, University of Koblenz-Landau 2017/18
This repository provides all course materials including R code, slides and data. For further information such as links to teaching videos go to our group webpage
To prepare your computer for the lecture, you need to install R, Revolution R or R Studio. I use several packages in the course, if you want to have all packages ready at the beginning of the course, run the script 0_install_packgs.R in the Code folder. Note that these are all my packages that I use for different projects and installation may take some time. Alternatively, you can just install a new package whenever it is needed:
install.packages("package_name")
- Eduard Scoezs contributed to some of the code and lecture materials
- Several course assistants are thanked for their assistance (e.g. Andreas Scharmüller, Le Trong Dieu Hien and Moritz Link).
- Achim Zeileis is thanked for development and support with the R exams package that is used for automated test generation in this course