Module 9: R Intermediate Course

Type of Course - Dates - Venue - Description - Target audience - Exam - IMPORTANT: Incorporation in DTP and reimbursement by DS
Course prerequisites - Teacher - Course material - Book recommendations - Fees - Enrol

Type of course

Due to the safety restrictions issued by UGent concerning the corona crisis this is an online course.


Four evenings during the Easter Holiday period: April 6, 8, 12 and 15, 2021, from 5.30 pm tot 9 pm.

Please note: the deadline for UGent PhD students who want a refund to open a dossier on the DS website (Application for Recognition) is March 5, 2021.


Online course


R is a powerful and extensive language. In recent years many useful additions have been made. They can facilitate the work substantially, but also make it challenging to find the most optimal workflow.

This course aims to give you more insight in how to work efficiently with R.

During the course, you get introduced to a number of useful packages that emerged in recent years including reshape, plyr, ggplot2 and XLConnect amongst others.

The following topics will be covered:

  • tools for data preparation and manipulation
  • text comparison and editing using regular expressions
  • working with dates
  • automating with scripts, functions and projects
  • advanced graphics and reporting tools (ggplot2, RMarkdown)

Target audience

This course is aimed at intermediate R users who want to optimize their workflow. The tools offered are useful both in research and more commercial applications.


There is no exam connected to this module. Participants receive a certificate of attendance via e-mail at the end of the course.

Incorporation in DTP and reimbursement from DS for UGent PhD students

As a UGent PhD student, to be able to incorporate this 'specialist course' in your Doctoral Training Program (DTP) and get a reimbursement of the registration fee from your Doctoral School (DS) you need to follow strict rules: please take the necessary action in time. The deadline to open a dossier on the DS website (Application for Recognition) for this course is March 5, 2021. Please note that opening a dossier does not mean that you are enrolled. You still need to enrol via the registration form on this site.

Course prerequisites

Participants need previous experience with R and RStudio, and should have a good insight in how to work with vectors, matrices, data frames and lists. The topics covered in the ICES course 'Introduction to R' (Module 1) are considered as known.


Joris Meys is statistical consultant in the Biostatistics Department at the University of Ghent. He is the co-author (with Andrie de Vries) of 'R for Dummies' (Wiley, 2015). Joris Meys is an accomplished R programmer, and produces R packages both for specific research projects and, via R-Forge, for more general application. His statistical expertise is in the areas of ecotoxicology, analysis of environmental data, clinical research and meta analysis.
Camila Olarte Parra is a doctoral student at the Department of Applied Mathematics, Computer Science and Statistics and has ample experience in teaching. She will substitute Joris Meys as teacher.


Course material

Exercises and slides provided by the instructor.

Book recommandations

A recommended handbook for further study is "R for Dummies", J. Meys and A. de Vries, 2nd ed. (2015), Wiley, ISBN 978-1119055808. Those who wish to explore R further after the course can order it online or at their local book store. Please note that you do not need a copy of this book to follow the course.


Different prices apply, depending on your main type of employment.

Employment Module 9
Industry/Private sector1 390
Non-profit, government, university outside AUGent2 195
(Doctoral) student outside AUGent2 125

1 If three or more employees from the same company enrol simultaneously for this course a reduction of 10% on the module price is taken into account.

2 AUGent staff and AUGent doctoral students who pay through use of an SAP internal order/invoice can participate at these special rates.

Enrol for this course