R for reproducible scientific analysis (QCIF) [webinar]

This is a QCIF/QFAB course and places are highly limited as Graduate School is paying the fee. If you are unable to attend, please de-register (or email graduateschool@uq.edu.au if you are unable to do so). An unexplained absence could result in all your future QCIF registrations becoming Waitlisted. You may only attend the workshop once. Repeat bookings will be removed and placed on the Waitlist.

The goal of this hands-on workshop is to teach novice programmers to write modular code and best practices for using R for data analysis. R is commonly used in many scientific disciplines for statistical analysis and its array of third-party packages. We find that many scientists who come to Software Carpentry workshops use R and want to learn more. The emphasis of these materials is to give attendees a strong foundation in the fundamentals of R, and to teach best practices for scientific computing: breaking down analyses into modular units, task automation, and encapsulation.

Note that this workshop will focus on teaching the fundamentals of the programming language R, and will not teach statistical analysis. Please do not sign up for this workshop if you are unwilling or unable to attend all four mornings. If you are unsure if R is the correct tool for you, you might want to attend the Library's R workshops first.

Pre-workshop preparation:

Attendees will need to have R and RStudio installed – see setup instructions. Alternatively they can set up an account at https://rstudio.cloud. Finally, please download the training datafile to your laptop before the workshop.