Reproducible Research with R
This course will guide participants towards a reproducible research workflow supported by R. It will provide participants with knowledge how to prepare their data and analyses so that other researchers can understand (and eventually reproduce) how figures and statistical tests were created stepwise from the raw data.
We will use R (and RStudio) as interpreted programming language. The course will blend on-line lessons on DataCamp and custom made exercises with weekly 2 h hands on sessions.
This course is generously supported by data camp by providing free access to online learning material for R for our course.
- comprehend the importance of reproducible research
- learn data analysis in R through the tidy approach
- be able to create data visualisation via ggplot2
- understand the process towards a fully reproducible analysis notebook
- receive an introduction to linear models
- be able to do Preregistration and understand registered reports
- learn how to write a data management plan and receive information on open data repositories
- understand the usefulness of metadata
- receive an introduction to open access publishing models contrasted with traditional models
PD Dr. Ulf Tölch, Project leader Education, Training & Quality in Research
Meggie Danziger, PhD Candidate
No prerequisites. If you have experience with R and RStudio you can start the course in the 4th session as the first three sessions are of intoriductory nature.
A certificate will be provided. ECTS: 2,0