imro: Imputation Ratio IMRO

In sdap: Statistical Data Preparation Indicators

Description

The imputation ratio measures the contribution of changed items to a final total. The numerator takes into account all values including the initial non-respondents which are not structurally missing.

Usage

imro(data, bij, gij, obsi = 1:nrow(data), varj = 1:ncol(data), weight)

Arguments

data	(mandatory): A dataframe containing the data to be processed.
bij	(optional): A matrix containing the structurally missingness indicators. bij can be calculated using the function smind. If the argument bij is missing, the indicator irr is calculated without considering a misingness indicators matrix.
gij	(mandatory): A matrix containing the imputation indicators for a given dataframe. gij can be calculated using the function impind.
obsi	(optional): A vector with the observations in rij to to be processed. If the argument obs is missing, all observations are processed.
varj	(optional): A vector with the variables (column numbers) to be considered for the calculation. If the argument varj is missing, all variables are considered for the indicator.
weight	(optional): A vector of weights to be considered when calculating the indicator. If no weight vector is given as an argument, the indicator is calculated without considering different weights.

Value

A list with the following elements: variables (variables), observations (observations), Number of imputations detected (imputations), Indicator IMRO (imro).

Author(s)

Beat Hulliger - Juan Berdugo

sdap documentation built on May 2, 2019, 6:52 p.m.