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:

• You are a researcher, likely working in the biomedical or health field (ranging from experimental to epidemiology).
• You currently or will soon do some quantitative data analysis.
• You either:
  • know nothing or a little about R (or computing in general);
  • haven’t used code-based programs for doing data analysis (e.g. have used SPSS);
  • have used coding programs before (e.g. used SAS or Stata), but not R;
  • or know how to use R, but haven’t used the tidyverse or RStudio.

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.

In addition to the assumptions above, the workshop also has a fairly focused scope, which may also help you decide if this workshop is for you:

We teach

• How to use R, starting from the very basics and targeted to beginners.
• Using a team science, reproducible research, and open scientific approach (i.e. by including a collaborative group project that uses a transparent and reproducible analysis workflow).
• Using practical, applied, and hands-on lessons and exercises.

We do not teach

• Statistics (these are already covered by most universities).