Cluster assignments based on missingness patterns

A tibble assigning each observation in df_missing/df_complete to a cluster determined by its missingness pattern. Useful for stratifying downstream analyses.

Usage

clusters

Format

A tibble with 8000 rows and 2 variables:

index

Integer. Row identifier imported from data_raw/clusters.csv.

cluster

Factor (or integer) giving the missingness‐based cluster for each row.

Source

Imported from data_raw/clusters.csv, then renamed ...1 → index.

Examples

data(clusters)
table(clusters$cluster)
#> Warning: Unknown or uninitialised column: `cluster`.
#> < table of extent 0 >