We introduce OrigamiPlot, an open-source R package and Shiny web application designed to enhance the visualization of multivariate data. This package implements the origami plot, a novel visualization technique proposed by Duan et al. in 2023, which improves upon traditional radar charts by ensuring that the area of the connected region is invariant to the ordering of attributes, addressing a key limitation of radar charts. The software facilitates multivariate decision-making by supporting comparisons across multiple objects and attributes, offering customizable features such as auxiliary axes and weighted attributes for enhanced clarity. Through the R package and user-friendly Shiny interface, researchers can efficiently create and customize plots without requiring extensive programming knowledge. Demonstrated using network meta-analysis as a real-world example, OrigamiPlot proves to be a versatile tool for visualizing multivariate data across various fields. This package opens new opportunities for simplifying decision-making processes with complex data.

翻译：本文介绍OrigamiPlot——一个用于增强多元数据可视化的开源R包及Shiny网络应用程序。该软件包实现了Duan等人于2023年提出的新型可视化技术——折纸图（origami plot），该技术通过确保连接区域面积不随属性排序改变而改进传统雷达图，从而解决了雷达图的关键局限性。本软件支持跨多对象与多属性的比较，并提供辅助坐标轴、加权属性等可定制功能以提升可视化清晰度，从而促进多元决策分析。通过R包与用户友好的Shiny界面，研究者无需具备深厚编程知识即可高效创建并定制图表。以网络荟萃分析作为实际案例进行演示表明，OrigamiPlot是适用于多学科领域多元数据可视化的通用工具。该软件包为简化复杂数据决策流程开辟了新途径。