Suarez Jethro Raphael M, Lafontant Kworweinski, Blount Amber, Park Joon-Hyuk, Thiamwong Ladda
Department of Mechanical and Aerospace Engineering, University of Central Florida, Orlando, FL 32816, United States.
College of Nursing, University of Central Florida, Orlando, FL 32826, United States.
JAMIA Open. 2024 Sep 18;7(3):ooae088. doi: 10.1093/jamiaopen/ooae088. eCollection 2024 Oct.
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.
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.
The developed code successfully recreates the FRA matrix in R and allows researchers and clinicians to graph participant data onto the matrix itself.
The use of an R code allows for a streamlined approach to manipulating the FRA matrix for use in data visualization and feedback for older adults, which improves upon the traditional paper-pencil method that has been previously used.
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.
本研究旨在通过使用R语言中的计算图形功能，优化跌倒风险评估（FRA）图表，以用于针对降低老年人跌倒风险的干预项目。
我们利用RStudio（一种免费的R语言开发环境）以及“ggplot2”和“grid”包中的函数，开发了一段代码，用于重新创建FRA矩阵，以进行数据可视化和分析，以及为老年人提供反馈。
所开发的代码成功在R中重新创建了FRA矩阵，并允许研究人员和临床医生将参与者数据绘制到矩阵上。
使用R代码为操纵FRA矩阵以进行数据可视化和为老年人提供反馈提供了一种简化的方法，这改进了先前使用的传统纸笔方法。
本研究中呈现的代码用R语言重新创建了FRA矩阵工具，并使研究人员能够即时添加、删除或更改该工具的不同方面，以提高其对研究人员和老年人的可读性。
