Webinar: Using RMarkdown to create clear, reproducible analyses

New Zealand eScience Infrastructure(NeSI) designs, builds, and operates a shared national platform of advanced computing resources and data services. All researchers in Aotearoa New Zealand have access to NeSI’s platforms. Through NeSI, researchers can access high-capacity CPUs, GPUs and high memory nodes; tailored software environments; expertise in research software and data science engineering; and skills training in computational  tools and approaches. NeSI enables researchers to investigate large, unique, or complex projects more easily, quickly, and accurately.  To learn more, get in touch: info@nesi.org.nz.

New Zealand eScience Infrastructure (NeSI)

Creating clear analyses that can be reproduced easily sounds simple. So why do so 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?
In NeSI’s April webinar, University of Otago researcher Murray Cadzow will explain what a beginner to intermediate coder needs to know to generate computationally reproducible analyses. He will demonstrate how using a tool like Rmarkdown can help tremendously in developing your coding habits so that your work is more sustainable and scalable. Specifically, Murray will explain:
<UL>
<LI>The levels of reproducibility,</LI>
<LI>The structure of an Rmarkdown document,</LI>
<LI>How to use RMarkdown with other languages, and</LI>
<LI>what RMarkdown driven development can look like for researchers</LI>
</UL>
If you are interested in developing habits 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 <A HREF="mailto:training@nesi.org.nz" REL="nofollow noopener noreferrer">training@nesi.org.nz</A>.

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Webinar: Using RMarkdown to create clear, reproducible analyses

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Webinar: Using RMarkdown to create clear, reproducible analyses

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