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ViSiElse: an innovative R-package to visualize raw behavioral data over time.
Elodie M Garnier1, Nastasia Fouret1, Médéric Descoins1,2
1Centre d'Études Périnatales de l'Océan Indien (CEPOI, EA 7388), Centre Hospitalier Universitaire de La Réunion, Saint-Pierre, La Réunion.
Peerj
|March 3, 2020
Summary
ViSiElse is a new R-package for visualizing raw behavioral data. It allows researchers to plot multiple variables and participants on a single graph, enhancing data transparency and reliability in scientific studies.
Area of Science:
- Behavioral science
- Data visualization
- Scientific research methodology
Background:
- Scientific community advocates for raw data graphs to boost result reliability and transparency.
- Current raw data visualization methods are limited to few variables or small sample sizes.
- Behavioral sciences require plotting numerous variables for comprehensive behavioral insight.
Purpose of the Study:
- Introduce ViSiElse, an R-package designed for novel raw data visualization.
- Enable visualization of behavioral observations over time using raw time data.
- Facilitate assessment of individual and group behavior through a unified graphical overview.
Main Methods:
- Developed as an open-source R-package.
- Utilizes raw time data from visually recorded experimental observation sessions.
- Generates a single graph visualizing timestamps for multiple actions and all participants.
Main Results:
- Provides a global overview of behavioral processes.
- Enables easy assessment of individual and group behavior.
- Offers additional features for data inspection, including summary statistics and time constraints.
Conclusions:
- ViSiElse offers an advanced approach to raw data visualization in behavioral sciences.
- The R-package enhances the transparency and reliability of scientific results.
- Facilitates deeper insights into complex behavioral patterns through comprehensive data visualization.
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