As many of us know, if the data collected are rubbish then no analysis, however complex it may be, can make something out of it. Experimental design gives us an opportunity to think of how to get the most of the experiment by taking into its context. In this session, I delve into practices to capture this experimental context using the edibble R-package and demonstrate how to construct experimental designs for a range of agricultural studies.

Bio

Dr. Emi Tanaka is a lecturer in statistics at Monash University whose primary interest is to develop impactful statistical methods and tools that can readily be used by practitioners. Her research areas include data visualisation, mixed models and experimental designs, motivated primarily by problems in bioinformatics and agricultural sciences. She is currently the President of the Statistical Society of Australia Victorian Branch and is an avid programmer in R, HTML/CSS and other computational languages.

Zoom link - link will be provided by calendar invite