Code for "Multivariable Prediction of Postural Sway: Development and Internal Validation of Mixed-Effects Models for COP Velocity and Sway Area"
Description
The computational methodology used in the present work employed a fully automated predictive-modeling pipeline implemented in R (version 4.5.1). The workflow followed a split-sample strategy for model development and external validation. A primary execution script orchestrates all steps—from CoP data preprocessing to feature extraction, model training, evaluation, and statistical reporting—ensuring complete reproducibility of the analysis.
Files
Steps to reproduce
Download all R scripts into the same folder. Then, download the CoP data from the sources related to Santos & Duarte (2016). Create a directory named "A public data set of human balance evaluations" and move the BDS folder into it. Next, open R or RStudio and run the script "00_run_all.R". Processing all 1,900 center-of-pressure files may take several hours. When complete, all statistical analyses will be saved in a new folder named "outputs".
Institutions
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Funders
- Fundação Carlos Chagas Filho de Amparo à Pesquisa do Estado do Rio de JaneiroBrazilGrant ID: E-26/204.369/2024
- Fundação Carlos Chagas Filho de Amparo à Pesquisa do Estado do Rio de JaneiroBrazilGrant ID: E-26/211.104/2021