Recreating Fall Risk Appraisal (FRA) matrix using R to support fall prevention programs

Objective: This study aimed to optimize Fall Risk Appraisal (FRA) graphing for use in intervention programs tailored toward reducing the fall risk of older adults by using computing graphic functions in the R language. Materials and Methods: We utilized RStudio, a free development environment for the R language, as well as the functions within the “ggplot2” and “grid” packages, to develop a code that would recreate the FRA Matrix for use in data visualization and analysis, as well as feedback for older adults. Results: The developed code successfully recreates the FRA Matrix in R and allows researchers and clinicians to graph participant data onto the matrix itself. Conclusions: The code presented in this study recreates the FRA Matrix instrument in the R language and gives researchers the ability to instantaneously add, remove, or change different aspects of the instrument to improve its readability for researchers and older adults., The code presented has been created and exported in RStudio, a free development environment for R language. The purpose of the code is to allow for the recreation and manipulation of the FRA Matrix in RStudio., , # Recreating fall risk appraisal (FRA) matrix using R to support fall prevention programs [https://doi.org/10.5061/dryad.866t1g20m](https://doi.org/10.5061/dryad.866t1g20m) ## Description of the data and file structure The code presented recreates the FRA Matrix, a graphical tool used for categorizing older adults based on their self-perceived fall risk and their physical fall risk, in RStudio. ## Code/software R is a free software environment that can run on all operating systems (e.g., Mac, Windows, UNIX, Linux) and was the language used to optimize FRA graphing and recreate the FRA Matrix. The code created for graphing the FRA matrix was created in RStudio IRE (Version 4.3.1), a free development environment for R language. R software and RStudio software is freely available and can be downloaded at [https://cran.rstudio.com/](https://cran.rstudio.com/) and [https://posit.co/download/rstudio-desktop/](https://posit.co/download/rstudio-desktop/) respectively. The \"ggplot2\" and \"gr...