missing.gen0: Generating random missing values on a data matrix

In GenForImp: The Forward Imputation: A Sequential Distance-Based Approach for Imputing Missing Data

Description

The function generates a number of missing values (NA) completely at random on a data matrix.

Usage

missing.gen0(mat, nummiss)

Arguments

mat	a matrix of numerical data.
nummiss	number of missing values.

Details

The function generates a number of missing values (NA) completely at random on a data matrix.

Value

The data matrix with missing values (NA).

Author(s)

Nadia Solaro, Alessandro Barbiero, Giancarlo Manzi, Pier Alda Ferrari

See Also

missing.gen

Examples

sigma <- matrix(0.4, 4, 4)
diag(sigma) <- 1
x0 <- rmvnorm(n=100, mean=rep(0, 4), sigma=sigma)
x0 # complete matrix
x <- missing.gen0(x0, 50)
x # matrix with 50 missing values

GenForImp documentation built on May 2, 2019, 2:15 p.m.