getMUODindices: Given a numeric matrix, compute the MUOD indices

In luisfo/muod.outliers:

Description

Given a numeric matrix, compute the MUOD indices

Usage

getMUODindices(data, n = ncol(data), nGroups = n/getOption("mc.cores", 1),
  method = c("rcpp", "classic", "normal", "old"), benchmark = c(1, 0, 1),
  parClus)

Arguments

data	The numeric matrix from whose columns the indices will be computed
method	The MUOD implementation to use

Value

A data.frame with the MUOD indices, namely shape, magnitude, amplitude

Examples

data(mtcars)

my.data <- as.matrix(mtcars)
indices <- getMUODindices(t(mtcars))
tail(sapply(indices, sort)) # possible outliers

luisfo/muod.outliers documentation built on May 21, 2019, 1:19 p.m.