hdImpute (version 0.2.1)

mad: Compute variable-wise mean absolute differences (MAD) between original and imputed dataframes.

Description

Compute variable-wise mean absolute differences (MAD) between original and imputed dataframes.

Usage

mad(original, imputed, round)

Value

`mad_scores` as `p` x 2 tibble. One row for each variable in original, from 1 to `p`. Two columns: first is variable names (`var`) and second is associated MAD score (`mad`) as percentages for each variable.

Arguments

original

A data frame or tibble with original values.

imputed

A data frame or tibble that has been imputed/completed.

round

Integer. Number of places to round MAD scores. Default set to 3.

Examples

if (FALSE) {
mad(original = original_data, imputed = imputed_data, round = 3)
}