Kies de Nederlandse taal
Course module: B-MADR
Advanced R for Life Sciences: In-depth Techniques for Analysis, Visualization and Publishing
Course infoSchedule
Course codeB-MADR
ECTS Credits1.5
Category / LevelM (Master)
Course typeCourse
Language of instructionEnglish
Offered byFaculty of Science; Graduate School of Life Sciences; Graduate School of Life Sciences;
Contact persondr. ir. B. van Breukelen
Contactperson for the course
dr. ir. B. van Breukelen
Other courses by this lecturer
Teaching period
W8A  (18/02/2019 to 22/02/2019)
Teaching period in which the course begins
Time slot-: Not in use
Study mode
Remark1-5 April 2019
Enrolling through OSIRISNo
Enrolment open to students taking subsidiary coursesYes
Waiting listNo
We aim to provide knowledge into creating publishable R code and graphics.
At the end of the course, students should be able to have a deep understanding of: the data and package structures of R, ggplot graphics (out of the box and custom), and create an automatically generated document of a (simple) analysis.
Many researchers will need to apply statistical analysis in their work. Often, the R statistical language is chosen, since it is well established, free, and has many packages available for different tasks. If you want to be able to use the more powerful features of R, create visually attractive figures with ggplot, write concise and organized code that you can share with others, create automatically generated reports. This course gives you the knowledge to follow one of the subsequent courses of statistical analysis for omics technologies, and linear models with R.
Literature/study material used:
Provided during the course. Students are required to bring a laptop to work online via a web page.
Entry requirements
Prerequisite knowledge
The ‘Introduction to R’ course, or similar knowledge by an admittance test.
Required materials
Instructional formats

Final result
Test weight100
Minimum grade-

Kies de Nederlandse taal