aux.rndmissing {filling}

Randomly assign NAs to the data matrix with probability x

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")