impind: Imputation Indicator

In sdap: Statistical Data Preparation Indicators

Description

The imputation indicator function tests a dataframe vs a list of imputation indicators. The flags about the imputation are assumed already present on the dataframe. They may have different values while the output flag is binary.

Usage

impind(data, imputedvars, imputationflags, gij, imp.ind = c(1, 2, 3))

Arguments

data	(mandatory): A dataframe containing the data to be processed.
imputedvars	(mandatory): A vector with the column numbers of the variables that are imputed. For variable groups use the function rind.
imputationflags	(mandatory): A vector with the column numbers of the imputation flags corresponding to the imputed variables. To calculate the vector use the function flaggroup.
gij	(optional): A matrix "gij" containing imputation indicators for each variable and observation.
imp.ind	(optional): A vector with the values considered as imputation indicators. Defaults: 1, 2, 3

Value

A matrix "gij" containing imputation indicators for each variable and observation.

Author(s)

Beat Hulliger, Juan Berdugo

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