Statfda: A User-Friendly Web Application to Analyse Curves Data from a Functional Perspective

Using classical statistical techniques to analyse curves data whose behaviour is clearly continuous might cause inexact results.To avoid this tricky situation, a suitable option is to carry out a functional data analysis that takes the time-dependent structure into account.However, the statistical modeling can be complex and difficult to understand and therefore, there is a great need of providing new tools to apply this methodology in any area of knowledge.In this sense, an open access web application is introduced in the current work.It serves as a comprehensible and effective tool whose greatest competitive advantage is that programming skills or conceptual knowledge in math are not required to use it.This interactive application has a user-friendly format and offers different well-defined functional techniques such as exploratory analysis, functional principal component analysis and functional regression models.Its functionalities are illustrated making use of a public dataset of biomechanics.