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Reproducible Research and Advanced Data Skills workshop – Hybrid
Oct 22, 9:00 am - 5:00 pm
$250Please note: This workshop will be hybrid, and can be attended virtually via Zoom upon request.
Introducing some more advanced features of R including reporting with Quarto, and some powerful tools for data manipulation and summaries.
Ultimately, when you analyse a data set, someone wants a report from it, be it your boss, a funding body, or published research. And when it comes to publications, there is a push for “reproducible research”. In this workshop, we examine what reproducible research means, and how R can enable you to easily turn your data into reports and papers. We will also cover some more advanced R skills around data manipulation and graphics.
What does this workshop cover?
- Introduces Quarto and report preparation with R, which brings together a report on the design, analysis and graphical presentation in a consistent, all-in-one and reproducible way. This will greatly improve the efficiency of your reporting.
- Data manipulation techniques are covered to improve efficiency in data handling.
- We also cover working with date-times in R.
Why should you do this R course?
- The Biometry Education Initiative, provided by the AAGI project, was developed to tailor to the needs of researchers in the Australian Grains Industry.
- We don’t assume any statistical background, or bombard you with complicated formulas and equations.
- The course is run by grains industry researchers, for grains industry researchers. Researchers in other industries are also more than welcome to attend!
- As always, the course is non-threatening, with plenty of examples and hands-on practice to help you get familiar with the concepts.
What will you get out of it?
- You will build on previous R skills.
- You will learn some tools that enable easy reporting through R.
- You will learn some tips for manipulating your data and getting what you want out of it.
- Confidence to continue learning and exploring R for yourself
Prerequisites
- Participants are required to bring a laptop with RStudio installed.
- A basic proficiency with the statistics package R is expected.