Sven De Maeyer sven.demaeyer@uantwerpen.be
Tine van Daal tine.vandaal@uantwerpen.be


Handling datasets is a skill that is central to many research areas. Managing, analysing and displaying data are challenging tasks that require learning specific software. In this workshop, you will be introduced to R and RStudio, one of the most versatile language and software environment for data analysis. The fact that this software is open-source makes it one of the most used statistical programming languages in scientific research at the moment. The workshop will teach you ‘hands-on’ to take your first steps in R and RStudio and prepare you to work with them in the professional research context.

Description of session contents

The training consists of four parts:

  1. R: You get to know the program R and its language by means of a number of examples. You practice with data management and datasets: reading data from other software (MS Excel, SPSS, …), changing/re-coding variables and other data management steps using the intuitive ‘tidyverse’ method. This will be all approached by making use of the power of creating RStudio projects.
  2. Graphs: You will learn to use R as a powerful tool to create different graphs via the package ‘ggplot2’.
  3. R Markdown: You will learn to create reproducible documents (such as html reports, word docs and slides) so that you can integrate content (the explanations of the analyses and results) analyses (the way in which the results are produced (read: the underlying code) as well as the results themselves, nicely and easily, into one overall document.
  4. Basic analyses: finally, you will learn how to perform some of the most common analyses in R (correlations; t-test; linear regression analyses).

In the course we will schedule some time to work with your own research data (or with a dataset of us) so that you can immediately transfer what is learned to your owns projects.


Dates and location: 17-19 April, 2024

Location t.b.d.