ampute.mcar | R Documentation |

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`

.

ampute.mcar(P, patterns, prop)

`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. |

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.

Rianne Schouten, 2016

`ampute`

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