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YEAB: YEAB Ease the analysis of behavior
Emmanuel Alcalá1, Pablo Saavedra2, Frida García-Rangel3
1Centro de Estudios e Investigaciones en Comportamiento, Universidad de Guadalajara, Calle Francisco de Quevedo #180, 44130, Guadalajara, México. jealcalat@gmail.com.
None:
In recent years, with the advent of open-source programming languages such as R and Python, there has been a resurgence of the DIY spirit in the experimental analysis of behavior and, more broadly, in experimental psychology. This paper introduces YEAB, an R package that streamlines the processing and analysis of data from numerous common behavioral paradigms. Key features include automated extraction of raw data from MED-PC output files, flexible modeling of interresponse times (including mixture-exponential approaches), single-trial analysis for fixed-interval and peak procedures, and model fitting of delay discounting data in intertemporal choice tasks. By consolidating core functions into one accessible package, YEAB empowers researchers to efficiently handle multi-level data structures, promote reproducible workflows, and expand the scope of behavioral experimentation. Collectively, these functionalities facilitate robust, transparent analyses, fostering open-science practices and supporting innovative exploration in EAB and related fields.
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