Free, open source and cross-platform software for manipulating datasets and producing statistical plots and analyses.

R is widely used across a range of disciplines for statistical computing and generating publication-quality figures.

In this workshop, we'll use RStudio to learn the fundamentals of R for data science. We'll cover useful concepts for scientific computing such as breaking concepts into modular units, reproducibility, and working with structure data. We'll also look at some of the many free packages which are available for use within R.

This course is FREE. To attend you must be from an AAF institution (this includes University of Melbourne and surrounding institutes).

Duration: 12 hours

Format: 2-day intensive, or 4 half day sessions

Frequency: Monthly

Notes: You will need to bring your own laptop and work through the installation instructions before arriving.

Please come and join us at the RUnimelb Facebook group :)


Lucy Liu (@lucyleeow) and Pablo Franco (@juanpablof123), trainers for R and RStudio