Data Analysis with R for Agriculture and Environmental Science



This micro-credential unit introduces students to data collection and analysis, and reproducible report preparation using R and R studio. The specific context of the examples used are relevant to research and data analysis in environmental and agricultural science, and environmental and agricultural economics. Students learn to recognise the appropriate statistical technique for different types of data, and also learn how to obtain and interpret results using the R software platform. Methods such as ANOVA, linear regression, generalised linear regression, and non-parametric methods are explained and illustrated in the online lectures. Students then complete practical computer based exercises to develop their knowledge and understanding of each approach. Students are also introduced to basic programming concepts that allow R to be used to automate repetitive data management and analysis tasks; the advanced graphics capacity of R; and the workflow for reproducible report generation. This unit equips students with the knowledge and skills that they need to undertake data analysis at a standard consistent with most workplace demands, using R.
Course period22/02/21 → …
Course levelPostgraduate coursework
Course formatUnit