PartitionData: Partition Data by Missingness Pattern

In MGMM: Missingness Aware Gaussian Mixture Models

Partition Data by Missingness Pattern

Description

Returns a list with the input data split in separate matrices for complete cases, incomplete cases, and empty cases.

Usage

PartitionData(data)

Arguments

data	Data.frame.

Value

List containing:

• The original row and column names: 'orig_row_names', 'orig_col_names'.

• The original row and column numbers: 'n_row' and 'n_col'.

• The complete cases 'data_comp'.

• The incomplete cases 'data_incomp'.

• The empty cases 'data_empty'.

• Counts of complete 'n0', incomplete 'n1', and empty 'n2' cases.

• Initial order of the observations 'init_order'.

MGMM documentation built on Sept. 30, 2023, 5:06 p.m.