RMarkdown for Researchers: Weave together narrative text and code
Creating clear analyses that is reproducible sounds simple. So why do many of us struggle to re-run code that was developed 2, 5, or 10 years ago or find ourselves utterly lost when attempting to follow a colleague's analysis?
On 24 March, NeSI Applications Specialist Matt Bixley will explain what a beginner to intermediate coder needs to know to generate computationally reproducible analyses. By using RMarkdown to weave together narrative text and code you can streamline your research outputs so that they are easy to update as you collect more data, saving you lots of time and energy.
Specifically, Matt will explain:
- The levels of reproducibility,
- The structure of an Rmarkdown document,
- How to use RMarkdown with other languages
- Plots, Tables and Citations
If you are interested in exploring a tool that can make your research more sustainable and reproducible we strongly encourage you to come along!
Prerequisites:
There are no prerequisites for this webinar, though we suggest you have some familiarity with coding. Postgraduates, established researchers, and anyone in between are encouraged to attend.
More Information
If you have any questions or would like more information about this session, please email training@nesi.org.nz.
