outliers: Identifies outliers for plot_shiny.fosr()

In refund.shiny: Interactive Plotting for Functional Data Analyses

Identifies outliers for plot_shiny.fosr()

Description

Internal method that assigns band depth values to curves based on exact fast MBD computation (Sun & Genton, 2012). Code modified from fbplot in fda package. A dataframe of residuals is passed as an argument, and depths and outlying curves are returned

Usage

outliers(data, factor = 1.5)

Arguments

data	matrix or df of functional observations
factor	a constant that determines the fences for outliers. Defaults to 1.5, as in classical definition for Tukey outliers.

Author(s)

Julia Wrobel [e-mail]

References

Sun, Ying, Marc G. Genton, and Douglas W. Nychka. (2012). Exact fast computation of band depth for large functional datasets: How quickly can one million curves be ranked? Stat, 1, 68-74.

Sun, Ying, and Marc G. Genton. (2011). Functional boxplots. Journal of Computational and Graphical Statistics, 20, 313-334.

refund.shiny documentation built on Oct. 11, 2022, 1:05 a.m.