Institution: see Organisers & Supporters
Programme of study: International Research Workshop
Lecturer: Dr. Marco Lehmann (UKE Hamburg)
Date: see Workshop Programme
Max. number of participants: 20
Credit Points: 5 CP for participating in the whole IRWS
Language of instruction: English
Contents: The course introduces the programming language R used for statistical analyses. The beginning of each lecture comes with a demonstration of programming and statistical functions that will be elaborated on in the course of study. The students will then practice with many statistical examples. In addition to statistical functions, the course will introduce the definition of R as a programming language and its syntax rules. Students will further learn to use R’s scripting capabilities. Successful participation requires basic knowledge of descriptive and inferential statistics. The students are encouraged to bring their own laptops with the free software R (www.r-project.org/) and RStudio (www.rstudio.com/) installed.
A requirement of students: Basic knowledge in descriptive and inferential statistics is recommended.
Recommended literature and pre-readings:
- Matloff, N. (2011). The Art of R Programming: A Tour of Statistical Software Design. No Starch Press.
- Wollschläger, Daniel (2012). Grundlagen der Datenauswertung mit R (2. Aufl.). Berlin: Springer.
You have to register for the International Research Workshop to participate in this course.