Statistical comparisons using R (DSCRP) [webinar]
This is a DSCRP course and places are highly limited. 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 DSCRP registrations becoming Waitlisted. You may only attend the workshop once. Repeat bookings will be removed and placed on the Waitlist.
TBA
Pre-workshop preparation
Attendees must have previous experience in R and the RStudio interface. Please come with R and RStudio installed.
While you are waiting, get started with R and RStudio:
- Essential R resources - a list of key resources on R
- Links to materials used in the Centre for Digital Scholarship's different R courses
- Key R tutorials on LinkedIn Learning
NOTE: The examples used in this course will be from bioinformatics. You may also want to consider attending the R sessions in the Library. See the Library's training link for more information on the latest sessions.
About Statistics and modelling
If your research study employs quantitative or mixed methodologies, you would need to understand the nuts and bolts of statistics and modelling. The Graduate School works with different providers to provide a range of sessions covering descriptive and inferential statistics as well as modelling with esteemed providers such as ISSR and Student Services.
Useful links
- Library's 3D modelling workshops
- National statistics at the Australian Bureau of Statistics
- An overview of statistics by Britannica
- ISSR's MFSAS (Methods for Social Analysis and Statistics) courses
- Stats for Research students - Open Textbook Library