用于功能数据分析的交互式图形
Interactive graphics for functional data analyses
摘要：
虽然最常见的功能数据分析都有既定的图形，但为每个数据集和分析生成这些图形可能既麻烦又耗时。通常，可视化的障碍抑制了有用的探索性数据分析，并阻止了方法的直觉发展及其对特定数据集的应用。开发refund.shiny包是为了解决几个最常见的函数数据分析的这些问题。在进行分析之后，plot_shiny（）函数用于生成一个交互式可视化环境，其中包含几个不同的图形，其中许多图形会根据用户输入进行更新。这些可视化减少了探索性分析的负担，可以作为向非统计人员传达结果的有用工具。
英文摘要：
Although there are established graphics that accompany the most common functional data analyses, generating these graphics for each dataset and analysis can be cumbersome and time consuming. Often, the barriers to visualization inhibit useful exploratory data analyses and prevent the development of intuition for a method and its application to a particular dataset. The refund.shiny package was developed to address these issues for several of the most common functional data analyses. After conducting an analysis, the plot_shiny() function is used to generate an interactive visualization environment that contains several distinct graphics, many of which are updated in response to user input. These visualizations reduce the burden of exploratory analyses and can serve as a useful tool for the communication of results to non-statisticians.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
