Introduction to R Workshop - online & in-person
- Date: Wed, 27 Sep 2023, 9:00 am - 5:00 pm
- Location: Hybrid (Biometry Hub meeting room, Waite Building Level 2, Room 204 and Zoom)
- Cost: $250 inc. GST
- Contact: Biometry Training (08) 8313 0239
- Email: biometrytraining@adelaide.edu.au
![2018 RStudio [Public Domain]](/agriculture-food-wine/sites/default/files/styles/ua_image_landscape/public/media/images/2022-03/shiny.png?h=459ba837&itok=nDUzJrSQ)
© 2016 The R Foundation [CC BY-SA 4.0]
Would you like to be able to present data in an informative and engaging way, or to start preparing your data for statistical analysis?
Do you want to understand more about how the statistics for your project are calculated or what they mean? Have you heard of R but you’re not really sure how to get started? Then this workshop is for you!
Why would you learn R?
- R is popular open-source (= free) statistics software for data exploration and analysis.
- It’s one of the most popular and common languages for statistical analysis across the world, and used in every imaginable field!
- It is becoming ‘assumed knowledge’ for researchers to understand the basics of R-programming.
Why should you do this R course?
- SAGI-STH has developed the Biometry Education Initiative to tailor to the needs of researchers in the Australian Grains Industry.
- We don’t assume any statistical background, or bombard you with complicated formulas and equations.
- The course is run by grains industry researchers, for grains industry researchers. Researchers in other agricultural industries are also more than welcome to attend!
- The course is non-threatening, with plenty of examples and hands-on practice to help you get familiar with R.
What will you get out of it?
- You will become familiar with the basics of R, including using R packages, and will learn how to produce elegant graphics in R.
- You will learn some tips for preparing and managing your research data, to make things easier for yourself and whoever analyses your data.
- Confidence to continue learning and exploring R for yourself.
Maximum number of attendees: 20. Participants are required to have their own computer and should have headphones for optimal online participation.