Department of Orthodontics, University of Florida College of Dentistry, Gainesville, Fla.
Department of Orthodontics, Graduate School, Seoul National University, Seoul, Korea.
Am J Orthod Dentofacial Orthop. 2022 Apr;161(4):605-608. doi: 10.1016/j.ajodo.2021.07.013.
This article describes a simple method of applying a time series analysis to sample data sets using a free and open statistical software program, Language R.
Records of new patients who visited 2 different university-affiliated orthodontic departments in 2 different countries were collected. Time series analysis was performed by applying Language R software. The data sets and codes were provided for tutorial and illustrative purposes.
Using time series decomposition, the trend component and the seasonal variation were separated and visualized graphically.
Time series analysis may be helpful to clinicians by providing a simple tool to evaluate patient characteristics and manage the practice.
本文描述了一种使用免费且开放的统计软件程序 Language R 对样本数据集应用时间序列分析的简单方法。
收集了来自 2 个不同国家的 2 所大学附属正畸科的新患者记录。使用 Language R 软件进行时间序列分析。提供了数据集和代码，以供教程和说明之用。
通过时间序列分解，将趋势成分和季节性变化分离并以图形方式可视化。
时间序列分析可以为临床医生提供一个简单的工具，帮助评估患者特征和管理实践，因此可能会有所帮助。
