AddOutlier: Add outlier to matrix

In rsvddpd: Robust Singular Value Decomposition using Density Power Divergence

Description

AddOutlier returns a matrix with outliers randomly added to a matrix given certain proportion of contamination

Usage

AddOutlier(X, proportion, value, seed = NULL, method = "element")

Arguments

X	matrix, to which outliers are added
proportion	numeric, proportion of elements, rows or columns to be contaminated. Must be between 0 and 1.
value	numeric, the outlying value to be used for contamination
seed	numeric, a seed to reproduce the randomization behaviour
method	character, must be one of the following: "element" - For contaminating at random positions of the matrix "row" - For contaminating an entire row of the matrix "col" - For contaminating an entire column of the matrix

Value

A matrix with elements / rows / columns contaminated.

Note

Due to randomization, it is possible that the none of the entries of the matrix become contaminated. In that case, it is recommended to use different seed value.

Examples

X = matrix(1:20, nrow = 4, ncol = 5)
AddOutlier(X, 0.5, 10, seed = 1234)

rsvddpd documentation built on Oct. 27, 2021, 5:07 p.m.