Help
You aren’t alone in your R journey. Make use of the experiences of those around you.
Writing reproducible examples
If your issue is in coding, it often helps to present your problem with a minimally reproducible example (show your full code so that we can run it ourselves, details about your operating system, what was the error message?, etc). Provide us the details so that we can help you! Read more here.
During the workshop
- Don’t be shy and ask fellow participants in the workshop.
- Flag and ask the teaching team.
Outside of the workshop
- Ask people around you. A second opinion is often helpful in uncovering a step towards the solution to your problem.
- Ask the local experts such as at the BDSI Drop-In Sessions and ANU Statistical Support Network.
- Use online resources such as:
- Online Statistics Courses by ANU Statistical Support Network
- R Project Sharepoint Resources by ANU Statistical Support Network
- R for Data Science
- R4DS Online Learning Community
- Ask questions on Stack Overflow or Posit Community.
- You can continue to use the ANU Learning Data Slack Community to connect with each other.
Reporting mistakes
Did you find mistakes in the workshop? Please let us know by emailing workshop.bdsi@anu.edu.au.
Providing feedback
We want to always improve our delivery! Please let us know what is working, what is not working, and/or other feedback. For feedback, you can either email workshop.bdsi@anu.edu.au or use the survey link that was/will be provided to you (if you are a workshop participants).