add_missingness function

Apply MAR missingness to data

Helper function to add missing values to data.

add_missingness(X, prop, cols = NULL)

Arguments

• X: A data.frame or similar
• prop: Numeric value between 0 and 1; the proportion of observations set to missing
• cols: A vector of column names to be corrupted; if NULL, all columns are used

Returns

Data with missing values

Examples

whole_data <- data.frame(a = rnorm(1000),
                        b = rnorm(1000))

missing_data <- add_missingness(whole_data, 0.1)