aux_rndmissing: Randomly assign NAs to the data matrix with probability 'x'

In filling: Matrix Completion, Imputation, and Inpainting Methods

Description

aux.rndmissing randomly selects 100\cdot x% of entries from a given data matrix and turns them into missing entries, i.e., their values become NA.

Usage

aux.rndmissing(A, x = 0.1)

Arguments

A	an (n\times p) data matrix.
x	percentage of turning current entries into missing (NA).

Value

an (n\times p) data matrix with missing entries at proportion x.

Examples

# load lena64 image matrix
data(lena64)

# generate 10% of missing values
lena64_miss <- aux.rndmissing(lena64)

# visualize
par(mfrow=c(1,2))
image(lena64, axes=FALSE, main="original image")
image(lena64_miss, axes=FALSE, main="10% missing entries")

filling documentation built on Aug. 21, 2021, 5:09 p.m.