Online Program

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Friday, October 20
Fri, Oct 20, 7:30 AM - 8:30 AM
Aventine Ballroom G
Continental Breakfast and Speed Poster 2 sponsored by Bank of America

Communicating results of functional data analyses with interactive graphics (304047)

*Julia Wrobel, Columbia University 

Although there are established graphics that accompany the most commons functional data analyses, generating these graphics 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 R package was developed to address these issues for several of the most common methods for functional data. 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.