RMarkdown for Science
| Date & Time | March 28, 2022, 9:00 a.m. - 5:00 p.m. |
| Location | University Medical Center Hamburg-Eppendorf |
| Minimum Number of Participants | 10 |
| Maximum Number of Participants | 30 |
| Tutorial Fee | 110 € / 80 € (regular / student) |
| Lecturer | Linda Krause and Ann-Kathrin Ozga |
Content
RMarkdown is a widely used unified authoring framework for data analysis, combining code, generating results (tables and visual representations), and all the complementary information around it, including plain sentences, comments, and additional content - bringing up a flexible solution to do and share reproducible research.
While in its original design RMarkdown was mainly intended for single documents, RMarkdown can be used for a variety of purposes connected to many aspects of everyday's research activities: creating presentations, building interactive applications, writing journal articles, authoring entire books, or even generating personal websites.
We will share our experience as users of RMarkdown, building up from simple examples to get started in its many applications, and quickly becoming proficient in this powerful authoring ecosystem.
In this tutorial you will learn
- what RMarkdown is and why you should use it
- how to write an RMarkdown file and export this into many file formats (HTML, PDF, Word)
- how to create HTML presentations using the xaringan package
- what additional, more advanced and complex content can be built (books, websites)
Requirements
Participants should ideally be familiar with the statistical programming language R and bring their laptop, running an R installation (with version >= 4.1.0). Additional setup instructions for the tutorial will be communicated in due time.
Lecturer
Dr. Linda Krause
I am a postdoctoral researcher in biostatistics at the Institute of Medical Biometry and Epidemiology at the University Medical Center Hamburg-Eppendorf. Before, I did my PhD at the Helmholtz Center Munich where I worked as a computational biologist in the field of applied statistics and bioinformatics. I’ve been using RMarkdown for more than 8 years now and am looking forward to sharing my experience using it in my daily life as a researcher with you.
Ann-Kathrin Ozga, PhD
I am also a scientist at the Institute of Medical Biometry and Epidemiology at the University Medical Center Hamburg-Eppendorf. My research interests involve survival analysis and I have experience in teaching R and RMarkdown which I’ve been using for more than 5 years now. I hope I can show you the many advantages of RMarkdown and that you enjoy it as much as I do.
References