Dynamic Report Generation with R Markdown


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.

This course is part of a larger course series in Data Analysis consisting of 19 individual modules. Find more information and enroll for this module via www.ipvw-ices.ugent.be


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.

Schrijf je hier in voor lessen uit deze cursus

Dynamic Report Generation with R Markdown

  • Type of course: This is an on campus course.
  • Dates & times: February 11, 2022, from 9 to 12 pm and from 1 pm to 4 pm
  • Venue: UGent, Faculty of Sciences, Campus Sterre, Krijgslaan 281, building S9, 9000 Gent
  • Target audience: This module targets anyone who wants to produce professional looking reports using R.
  • Exam/certificate: Participants who attend all classes receive a certificate of attendance via e-mail at the end of the course. There is no exam connected to this course.
  • Course prerequisites: Basic knowledge of R as provided in Module 1 - Getting Started with R Software for Data Analysis of this year's program is required. Knowledge of tidyverse as provided in Module 6 - Leverage your R Skills: Data Wrangling & Plotting with Tidyverse is helpful.
  • Funding: => Our academy is recognised as a service provider for the 'KMO-portefeuille'. In this way small and middle sized businesses located in the Flanders region can save up to 30% on the registration fee for our courses. You can request this subsidy via www.kmo-portefeuille.be up until 14 calender days after the course has started. => UGent PhD students can apply for a full refund from their Doctoral School.
  • Reduction: => If two or more employees from the same company enrol simultaneously for this course a reduction of 20% on the module price is taken into account starting from the second enrolment => Reduced prices apply to coworkers in governmental institutions, non-profit organisations and higher eduction as well as for students and the unemployed.
  • Enrolling for this course is possible via the IPVW-ICES website.