misspi (version 0.1.1)

missar: Generate Data that is Missing At Random (MAR)

Description

Simulates missing value at random as NA for a given matrix.

Usage

missar(x, miss.rate = 0.2, miss.var = 1)

Value

x a matrix with missing values in "NA".

Arguments

x

a matrix to be used to fill in missing values as NA.

miss.rate

a value of missing rate within the range (0, 1) for variables that contain missing values.

miss.var

proportion of variables (columns) that contain missing values.

Author

Zhongli Jiang

See Also

misspi

Examples

# \donttest{
set.seed(0)
data(toxicity, package = "misspi")
toxicity.miss <- missar(toxicity, 0.4, 1)
toxicity.miss[1:5, 1:5]# }