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Related Experiment Video

Updated: Dec 14, 2025

Constructing and Visualizing Models using Mime-based Machine-learning Framework

Constructing and Visualizing Models using Mime-based Machine-learning Framework

Published on: July 22, 2025

TableOne: an online web application and R package for summarising and visualising data.

Agapios Panos¹, Dimitris Mavridis^2,3

¹Department of Primary Education, University of Ioannina, Ioannina, Greece.

Evidence-Based Mental Health

|July 16, 2020

Summary

This study introduces the TableOne R package and web application for summarizing clinical trial data. Researchers can now easily visualize baseline characteristics and differences across study groups.

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Area of Science:

Biostatistics
Clinical Research Informatics

Background:

Summarizing baseline characteristics across treatment groups is crucial in clinical trials.
Existing methods for data visualization can be cumbersome for researchers.
The 'TableOne' is a common and informative summary table in comparative effectiveness research.

Purpose of the Study:

To develop a user-friendly R package and web application for summarizing baseline characteristics.
To facilitate easy comparison of data across different arms of a clinical trial or exposure groups.

Main Methods:

Developed an R package named 'TableOne' for summarizing and comparing results across groups.
Created an accessible online web application extending the R package's functionality.
Utilized R for all computations and the plotly library for interactive plots.

Main Results:

The R package 'TableOne' enables quick summarization and comparison of clinical trial data.
The web application provides a step-by-step wizard for guided data analysis.
Interactive plots are generated for each variable, enhancing data visualization.

Conclusions:

The developed TableOne R package and web application offer an easy-to-use solution for researchers.
These tools facilitate rapid visualization and understanding of differences across treatment groups or exposures.