RMarkdown

"RMarkdown" is a fantastic tool to write efficiently manuscripts and research reports. It relieves the work to get your manuscripts and reports reproducible and transferable. You combine the coding in R and writing of the documentation/interpretation of the results all in the same file and compile it directly as a report (e.g. as html, pdf or word document). 

No copy pasting from the statistical analysis tool to the documentation file anymore. After this course, you will no longer need to create multiple files in order to produce one single research document. Tables, figures, citations and much more can be included in one single document to be directly shared with your peers or PIs.

This introductory course on RMarkdown covers:

• Getting familiar with the syntax of RMarkdown
• Include code in the manuscript
• Format tables and figures with RMarkdown
• Structure the document
• Automatize reports using different parameters (render)
• Produce reports in different formats (docx, HTML, PDF)

The course consists of lessons on how to work with RMarkdown and hands-on examples with best-practice solutions.

Learning goals

Understand RMarkdown Syntax and Structure

• Use RMarkdown syntax to format and organize research documents effectively.
• Combine R code and text in a single document to streamline the reporting process.

Integrate Code, Tables, and Figures

• Embed R code in RMarkdown to generate reproducible analyses directly within reports.
• Format tables and figures within RMarkdown for clear and professional presentation.

Structure RMarkdown documents

• Incorporate general information (table of contents, numbering)
• Generate reports in multiple formats (docx, HTML, PDF) to suit various dissemination needs.

Get in touch with advanced features of RMarkdown

• Apply parameters in RMarkdown to automate and customize report content for different analyses.
• Include citations and references to RMarkdown documents.
• The focus of these advanced tools is dependent on the participants’ wishes.

For more information on how to register, please follow the link on the course date. Please note: The link to the course happening in the second half of 2025 will be published in summer.

Prerequisites

To participate in this course, you need to know Programming skills with R (as taught in the course "Introduction to R") and additional practice.

Target group

This course is open to researchers of all career stages, or anyone interested in learning about the subject.

This course is free of charge.