Advanced R-Course in the Life Sciences

Advanced R-Course Kickoff10.06.2024 09:00 - 10:30 (Mo)OnlineDaniela Keller
Advanced R-Course Q&A117.06.2024 09:00 - 10:30 (Mo)OnlineDaniela Keller
Advanced R-Course Q&A224.06.2024 09:00 - 10:30 (Mo)OnlineDaniela Keller
Advanced R-Course Q&A301.07.2024 09:00 - 10:30 (Mo)OnlineDaniela Keller
Advanced Statistics, R und RStudio
Beschreibung Kursinhalt: 

In this advanced R course you will improve your skills of using R and doing statistical analysis in 3  selected topics. This course builds on the knowledge you have from the Basic R Course. So you need to be familiar with R, with the basic statistics and the statistical methods provided in the Basic R Course.

The topics of this advanced course will be selected based on the needs of the participants. Topics could be

  • Generating advanced graphics with the package ggplot2 with R
  • Generating reports of the analysis and the results with R
  • Linear mixed models with R
  • Factor analysis with R (exploratory or confirmatory)
  • Structure equation models with R
  • Cluster analysis with R

The course consists of 4 online meetings (each about 1.5 hours). The first 3 meetings start with a Q&A part about the last topic and the exercises followed by an input with the new topic. The last meeting is a final Q&A session. Between the appointments you will have to work on exercises on your own.


Advanced statistical methods and their implementation with R (3 topics, the topics will still be selected after consultation with the participants)


Live online Presentation of statistical topics, Software tutorials with examples, Exercises for self study, Q&A sessions

Der Kurs ist für Promovierende in folgender Phase geeignet: 

☒ Beginn der Promotion / Beginning of the doctorate
☒ Während der Promotion / During the doctorate
☒ Endphase der Promotion / End of the doctorate


Participation in the Basic R course or good knowledge of the basics in R, RStudio and statistical methods.

Technische Voraussetzungen: 

PC, laptop with R and RStudio installed (open source); internet access

Fachspezifische Veranstaltung
Art der Veranstaltung: 
Graduate Center of Life Sciences
Verantwortung für Veranstaltung: 
Maximale Teilnehmer*innenzahl: 
Minimale Teilnehmer*innenzahl: 
Umfang in Stunden: 
Daniela Keller