EMA-CleanR: Ecological Momentary Assessment (EMA) Data Processing in R (Code Documentation)

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.

Authors

Publication Details

Journal
University of Michigan Library
Published
2026-01-05
DOI
https://doi.org/10.7302/27965
Primary Topic
Mental Health Research Topics
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

EMA-CleanR: Ecological Momentary Assessment (EMA) Data Processing in R (Code Documentation)

Victoria A. Murphy, Gabriel Mongefranco, Sarah Sperry
University of Michigan Library
Mental Health Research Topics
article

EMA-CleanR: Ecological Momentary Assessment (EMA) Data Processing in R (Code Documentation)

Victoria A. Murphy, Gabriel Mongefranco, Sarah Sperry
article en

Abstract

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.

University of Michigan Library
Industry, innovation and infrastructure
Openalex Percentile: Top 96%
Mental Health Research Topics
DOIOpen Access PDFOpenAlex
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

EMA-CleanR: Ecological Momentary Assessment (EMA) Data Processing in R (Code Documentation) — Victoria A. Murphy, Gabriel Mongefranco, et al. · University of Michigan Library (2026) | TGRS Research Map | TGRS