IntroducingNA: Introducing NAs to the specified matrix.

In FuzzyImputationTest: Imputation Procedures and Quality Tests for Fuzzy Data

Introducing NAs to the specified matrix.

Description

'IntroducingNA' introduces missing values (NAs) to the specified data matrix.

Usage

IntroducingNA(dataMatrix, percentage = 0.05, ...)

Arguments

dataMatrix	Name of the input matrix (or list, or data frame).
percentage	Desired percentage of missing values (NAs) in each row.
...	Additional parameters passed to other functions.

Details

The procedure changes randomly some values in the specified matrix to "missing values" (denoted by NA). Number of these missing values in each row is given by the parameter percentage. If the input is a list of fuzzy numbers or data frame, then it is automatically converted to a matrix.

Value

The output is given as a matrix.

Examples

# prepare matrix with 3 columns and 3 rows

matrix1 <- matrix(c(1,3,5,2,5,7,1,4,5),ncol=3,byrow = TRUE)

# add 1 NA in each row

set.seed(12345)

IntroducingNA(matrix1,percentage = 0.33)

FuzzyImputationTest documentation built on April 3, 2025, 9:23 p.m.