M7 - Dynamic Report Generation with R Markdown

Target audience

This module targets anyone who wants to produce professional reports using R.


R offers many first class features for statistics and data science. One of these, is certainly Rmarkdown, that allows seamless integration of analysis (code) and text. This greatly improves reproducibility, reduces copy-paste and others errors and enhances possibilities for automation.

R markdown offers three main types of output: pdf, html and docx. The first session introduces the basic framework, the output-specific possibilities and the bookdown-extension.

The second session explores some general approaches for automation (using self-built templates for report-sections or complete reports) and presents Officedown. The latter is less flexible than Rmarkdown, but offers more options for docx-output.

Course prerequisites

Basic knowledge of R as provided in Module 2 of this year's program is required. Knowledge of tidyverse as provided in Module 6 is helpful.

Exam / Certificate

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


This module is part of the micro-credential 'Data Analysis in R: Basics and Beyond' that consists of three modules:

  • Module 2 - Getting Started with R Software for Data Analysis
  • Module 6 - Leverage your R Skills: Data Wrangling & Plotting with Tidyverse
  • Module 7 - Dynamic Report Generation with R Markdown

If you are planning on registering for all three modules, consider enrolling for the micro-credential instead. Read more...

Type of course

This is a hybrid course


Friday December 22, 2023, from 9 to 12 pm and from 1 pm to 4 pm.


Faculty of Science, Campus Sterre, Krijgslaan 281, 9000 Gent, Building S9, 3rd floor, Konrad Zuse, room 3.3


Foto Dries ReyndersDries Reynders studied Physics and Statistical Data Analysis at Ghent University.

He is an experienced teacher and is, in that role, well trained in explaining the link between mathematics and the reality it describes. Currently, he works as statistical consultant for the Stat-Gent consortium.

Course material

Access to slides, exercises and solutions (example code)


The participation fee is 330 EUR for participants from the private sector. Reduced prices apply to students and staff from non-profit, social profit, and government organizations. The exam fee is € 35.

Industry, private sector, profession  €330
Non-profit, government, higher education staff  €250
(Doctoral) student, unemployed  €150


Register for this course

UGent PhD students

As UGent PhD student you can incorporate this 'transferable skills seminar: research & valorization' in your Doctoral Training Program (DTP). To get a refund of the registration fee from your Doctoral School (DS) please follow these strict rules and take the necessary action in time. The deadline to open a dossier on the DS website (Application for Registration) for this course is November 22, 2023.

Opening a dossier with your DS does not mean that you are enrolled for the course with our academy. You still need to register on the site.

It is you or your department that pays the fee first to our academy. The Doctoral School refunds that fee to you or your department once the course has ended.


Information on "KMO-portefeuille": https://www.ugent.be/nl/opleidingen/levenslang-leren/kmo