This repository contains the materials used in the workshop "Reproducible statistical data analysis with R and RMarkdown" that took place as part of the kick-off event of the ORDS graduate network at the University of Rostock in December 2020. It extends the workshop given by Max Schröder and Frank Krüger that is published at https://github.com/m6121/Workshop-ORDS-Reproducible-Data-Science.
Publishing not only the results, but also source code and data is central in the discussion about open science and the FAIR principles. Literate programming is the concept of interweaving documentation, code, and data and, thus, fosters the publication of a comprehensive document containing not only the results of a research analysis, but the analysis itself. RMarkdown documents are a lightweight implementation of this concept. This workshop introduces RMarkdown with simple statistical examples.
The RMarkdown document can be rendered to an html format (or pdf, GitHub markdown and more) using the R knitr package. The output html file is also contained in this repository.
This work is licensed under the Creative Commons Attribution 4.0 International License.
In order to reference the GitHub repository, please attribute this as:
Anja Eggert. "Workshop Materials: Reproducible statistical data analysis with R and RMarkdown," https://github.com/AnjaEggert/ords-kick-off
This repository contains an lipidomics data set that was kindly provided by Dirk Dannenberger @Leibniz Institute of Farm Animal Biology in Dummerstorf, Germany.