get_outliers_mfd function

Get outliers from multivariate functional data

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.

get_outliers_mfd(mfdobj)

Arguments

• mfdobj: A multivariate functional data object of class mfd

Returns

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

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)

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.