ampute.mcar {mice} | R Documentation |
Multivariate amputation under a MCAR mechanism
Description
This function creates a missing data indicator for each pattern, based on a MCAR
missingness mechanism. The function is used in the multivariate amputation function
ampute
.
Usage
ampute.mcar(P, patterns, prop)
Arguments
P |
A vector containing the pattern numbers of the cases' candidates. For each case, a value between 1 and #patterns is given. For example, a case with value 2 is candidate for missing data pattern 2. |
patterns |
A matrix of size #patterns by #variables where |
prop |
A scalar specifying the proportion of missingness. Should be a value between 0 and 1. Default is a missingness proportion of 0.5. |
Value
A list containing vectors with 0
if a case should be made missing
and 1
if a case should remain complete. The first vector refers to the
first pattern, the second vector to the second pattern, etcetera.
Author(s)
Rianne Schouten, 2016