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Create missing values for a dataset

Source: R/createNA.R
createNA.Rd

This function creates missing values under the missing complete at random (MCAR) mechanism. It is for demonstration purposes only.

Usage

createNA(data, var.names = NULL, p = 0.3)

Arguments

data

A complete data frame.

var.names

The names of variables where missing values will be generated.

p

The proportion of missing values in the data frame or the proportions of missing values corresponding to the variables specified in var.names.

Value

A data frame with artificial missing values

Examples

# Create 30% MCAR data across all variables in a dataset
withNA.df <- createNA(data = iris, p = 0.3)

# Create 30% MCAR data in a specified variable in a dataset
withNA.df <- createNA(data = iris, var.names = c("Sepal.Length"), p = 0.3)

# Create MCAR data in several specified variables in a dataset
withNA.df <- createNA(
  data = iris,
  var.names = c("Sepal.Length", "Petal.Width", "Species"),
  p = c(0.3, 0.2, 0.1)
)