RStudio Meetup: Functional Data Analysis (Part 2)

RStudio Meetup: Functional Data Analysis (Part 2)
Led by Matthew Malloure, Dow Chemical

Abstract:
The primary purpose of this presentation is to continue the introduction of functional data analysis methods that was kicked-off during the March RStudio Energy Meetup by Santiago Rodriguez. During that session’s Q&A, two specific methods were frequently mentioned: Functional Principal Components Analysis (FPCA) and Functional Regression. In this talk, both methods are introduced in more detail, applied to a simulated example from the chemical industry, and compared to their univariate/multivariate analogues. Though no code will be shown in the presentation, commented R code used to produce all data, analyses, and figures will be provided.

Speaker Bio:
Matt is an associate research data scientist supporting new product development within the Packaging and Specialty Plastics business at The Dow Chemical Company. His specialty areas include functional data analysis, Bayesian hypothesis testing, computational statistics, and experimental design. Prior to joining Dow he earned a BS in Statistics and MS in Biostatistics at Grand Valley State University and a PhD in Statistics from Texas A&M University