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I present an R package called edibble that facilitates the design ofexperiments by encapsulating elements of the experiment in a series ofcomposable functions. This package is an interpretation of "the grammar ofexperimental designs" by Tanaka (2023) in the R programming language. The mainfeatures of the edibble package are demonstrated, illustrating how it can beused to create a wide array of experimental designs. The implemented systemaims to encourage cognitive thinking for holistic planning and data managementof experiments in a streamlined workflow. This workflow can increase theinherent value of experimental data by reducing potential errors or noise withcareful preplanning, as well as, ensuring fit-for-purpose analysis ofexperimental data.

edibble: An R package to encapsulate elements of experimental designs for better planning, management and workflow