add_missingness: Apply MAR missingness to data

In rMIDAS: Multiple Imputation with Denoising Autoencoders

Apply MAR missingness to data

Description

Helper function to add missing values to data.

Usage

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

Value

Data with missing values

Examples

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

missing_data <- add_missingness(whole_data, 0.1)

rMIDAS documentation built on Oct. 11, 2023, 5:14 p.m.