The tale of experimental designs

Emi Tanaka (Monash University )

Friday 20th May, 2022 11:00-12:00 Zoom

Abstract

Analysing experimental data is essential in helping us advance our knowledge in almost all scientific domains (e.g. ecology, biology, psychology, etc), in addition to aiding data driven decisions in industry (e.g. drug development, web design, search algorithms, etc). However, as a precursor to any analysis, the importance of the design of experiment and the data collection process cannot be emphasised enough. No analysis can extract useful information from rubbish data.

In this talk, I introduce the framework, called "the grammar of experimental designs", implemented as the edibble R-package that implements an object-oriented programming approach to capture elements of the origin of an experimental data encapsulated in a cognitive framework. This approach, inspired by "the layered grammar of graphics" in the ggplot2 R-package, differs considerably from standard, often recipe-driven, approaches and has potential to encourage higher-order thinking about designs tailored for individual experiments. I will describe a number of experiments and demonstrate how the framework works to construct the designs for these experiments.

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