R is used within a range of undergraduate and postgraduate units at UNE, with a natural progression from introductory to more advanced material as relevant to the unit. Some specifics include:
STAT100 and QMER100 are taken by first year students in the sciences, and provide a gentle introduction to statistical analysis using R. You will learn to use R through the trimester during workshops / practicals, and the material in the ‘R foundations’ and ‘Basic working with data’ sections will be useful to you.
STAT210/STAT410 builds upon your R and statistics experience. If you are rusty it will help to revise what you learned in STAT100 using the resources listed above, and the Advanced data visualisation section will likely also be a helpful supplement.
MATH260/460 and STAT270/470 use simulation in R to help you build intution about random variables and statistical models. The skills we use here are quite different to other subjects, you will develop a thorough understanding of statistical programming and probability distributions.
STAT320/420 and STAT330/STAT430 further build upon your R and statistics experience, so that students who complete these subjects are ready to analyse data at a professional level in their careers. By the end of these subjects you should have very strong R and data analysis skills (effectively mastering the material available on this resource), including in data wrangling and visualisation, and the application and interpretation of state-of-the-art models.
Postgraduate (Research) Students have diverse statistical needs and backgrounds depending on their field and project. Many students will benefit from a strong foundation in R, and this resource may help with this. You may also consider enrolling in an appropriate unit as part of your studies (discuss with your supervisor or the graduate research school), or taking training such as that offered by intersect.