get_outliers_mfd: Get outliers from multivariate functional data

In funcharts: Functional Control Charts

Get outliers from multivariate functional data

Description

Get outliers from multivariate functional data using the functional boxplot with the modified band depth of Sun et al. (2011, 2012). This function relies on the fbplot function of the roahd package.

Usage

get_outliers_mfd(mfdobj)

Arguments

mfdobj

A multivariate functional data object of class mfd

Value

A numeric vector with the indexes of the functional observations signaled as outliers.

References

• Sun, Y., & Genton, M. G. (2011). Functional boxplots. Journal of Computational and Graphical Statistics, 20(2), 316-334.

• Sun, Y., & Genton, M. G. (2012). Adjusted functional boxplots for spatio-temporal data visualization and outlier detection. Environmetrics, 23(1), 54-64.

Examples

library(funcharts)
data("air")
air <- lapply(air, function(x) x[1:20, , drop = FALSE])
fun_covariates <- c("CO", "temperature")
mfdobj_x <- get_mfd_list(air[fun_covariates], lambda = 1e-2)
get_outliers_mfd(mfdobj_x)

funcharts documentation built on Sept. 8, 2023, 6:04 p.m.