perturb: Perturb data by adding noise, bootstrapping or mix-up

View source: R/perturb.R

perturbR Documentation

Perturb data by adding noise, bootstrapping or mix-up

Description

Perturb data by adding Gaussian noise, bootstrap resampling or mix-up. Gaussian noise has mean 0 and variance 0.01*average variance of all variables. The mix-up lambda is 0.9.

Usage

perturb(data, method = 0)

Arguments

data

– data that will be perturbed.

method

– adding noise is 0, bootstrapping is 1 and mix-up is 2. Default is adding noise.

Value

the perturbed data.

Examples

data(vis_pollen)
perturb(as.matrix(vis_pollen$vis),method=0)

OTclust documentation built on Oct. 6, 2023, 5:09 p.m.