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Activity Number: 201 - Essential Recent Papers in Stat
Type: Invited
Date/Time: Monday, July 31, 2017 : 2:00 PM to 3:50 PM
Sponsor: International Statistical Institute
Abstract #322043 View Presentation
Title: Interactive Graphics for Functional Data Analyzes
Author(s): Julia Wrobel and So-Young Park and Ana-Maria Staicu* and Jeff Goldsmith
Companies: Columbia University, Department of Biostatistics and North Carolina State University, Department of Statistics and North Carolina State University, Department of Statistics and Columbia University
Keywords: Functional principal component analysis ; multilevel functional data ; longitudinal functional data ; function-on-scalar regression

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.

Authors who are presenting talks have a * after their name.

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