
doi: 10.7302/27965
Research teams that make use of Ecological Momentary Assessment (EMA) surveys often have a need to clean and pre-process the data. Dr. Sarah Sperry and Victoria Murphy of the Emotion and Temporal Dynamics (EmoTe) Lab at the University of Michigan created EMA-CleanR, an R-based program for efficient pre-processing, cleaning, and visualization of EMA survey data. This article documents how to use EMA-CleanR to pre-process EMA data.
This article is the code documentation for the EMA-CleanR software (DOI: https://doi.org/10.5281/zenodo.17982076). To download the software, please visit: https://github.com/DepressionCenter/EMA-CleanR
Data Analysis, Psychiatry, EMA-CleanR, EMA, Ecological Momentary Assessment, Survey Data Processing, Health Sciences, R, Mental health, Mobile Data Cleaning, R Programming
Data Analysis, Psychiatry, EMA-CleanR, EMA, Ecological Momentary Assessment, Survey Data Processing, Health Sciences, R, Mental health, Mobile Data Cleaning, R Programming
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