Assess missingness in a wide feature matrix

Assess missingness in a wide feature matrix

Usage

AssessFeatureMissingness(
  data,
  variables = NULL,
  missing_threshold = 0.5,
  intensity_heuristic = TRUE,
  intensity_cutoff = 0.3
)

Arguments

data

A data frame with samples in rows.

variables

Character vector of numeric feature columns.

missing_threshold

Numeric proportion above which a feature is flagged.

intensity_heuristic

Logical. Whether to calculate the exploratory missingness-versus-sample-intensity correlation.

intensity_cutoff

Minimum absolute correlation for an intensity-dependent flag.

Value

A list with a feature-level summary tibble and plot.