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RMarkdown is a freely available software program that combines text, statistical analysis, and graphics into one file. Data storage, analysis, and presentation of results (in a paper or presentation) takes places in a single computer program. The goal of this course is to learn basic principles of RMarkdown as a tool for open science. After this course you will be sufficiently equipped to apply RMarkdown to your own research project.
Many PhD students and other researchers use tools like Excel or SPSS to collect & store data from their experiments. They even use it for calculations and visualizations. Finally, results are transferred to Word for writing a paper and/or PowerPoint for creating a presentation. What is eventually communicated to the outside world as a final product in the form of a thesis, paper or presentation is hard to unravel for an outsider, let alone to reproduce it. In the process of transferring data, graphs, results of statistical analysis from one software program to another, it is not unlikely that errors will be made and some of them will go unnoticed. The results have become irreproducible and the scientific path has become obscured (even for yourself and your team). Commercial software programs may not be accessible to everyone and therefore results may never be reproducible. This goes against the idea of open science.
To learn basic principles of RMarkdown as a tool for open science. After this course you will be sufficiently equipped to apply RMarkdown to your own research project.
Some basic knowledge about R, e.g. the VLAG course “Introduction to R” by Jos Hageman
|Course organisation||VLAG Graduate School|
|More information||Course website|