2  Is this for you?

To help manage expectations and develop the material for this workshop, we make a few assumptions about who you are as a participant in the workshop.

We assume you can relate to one or more of the following, which are the expectations we’ve designed for this workshop.

• You are a researcher, preferably working in the biomedical field (ranging from experimental to epidemiological). Specifically, this workshop targets those working on topics in diabetes and metabolism.
• You currently do quantitative data analysis.
• You preferably:
  • have taken the intermediate Reproducible Research in R workshop, as this workshop is a natural extension to that one;
  • know a moderate or more amount of R (or computing in general);
  • know how to use R and are fairly familiar with the {tidyverse}, Quarto, RStudio, Git, and GitHub.

Considering that this is a natural extension of the introductory and intermediate r-cubed workshops, this workshop builds on the knowledge and skills learned during those workshops, including Git, RStudio R Projects, functions, functional programming, and Quarto / R Markdown. If you do not have familiarity with these tools, you will need to go over the material from the introductory and intermediate workshops beforehand (more details about pre-workshop tasks will be sent out a couple of weeks before the workshop).

While we have these assumptions to help focus the content of the workshop, if you have an interest in the workshop but don’t fit any of the assumptions, you are still welcome to attend! We welcome everyone until capacity has been reached.