Building experiments in R
Tue-HS1-Talk IV-03
Presented by: Felix Henninger
Over the past decade, the R environment for statistical computing has firmly established itself as the standard for data processing in psychology and many social sciences. It provides a multitude of data handling and analysis capabilities, and is now routinely taught to students early on. Despite the widespread familiarity of researchers with R, building experiments has heretofore often required picking up an entirely new programming language and skillset. We present a versatile, high-performance package for constructing and running experiments in R, and demonstrate its timing capabilities. The package builds upon the powerful functionality present in the R ecosystem, allowing for direct integration of data collection and processing, and more advanced designs such as adaptive experiments. With it, researchers at every career stage can now apply their knowledge of R to the construction of experiments. More information is available at https://felixhenninger.com/2023/experiments-in-r
Keywords: experiment, software, R, teaching, open source