process_feature_stability: Summarize process-feature stability across repeated analyses

In eyeprocess: Harmonize Eye-Tracking, Pupillometry, Biometrics, and Psychometric Process Data

Summarize process-feature stability across repeated analyses

Description

Summarize process-feature stability across repeated analyses

Usage

process_feature_stability(
  data,
  feature = "feature",
  split = "split",
  importance = "importance",
  top_n = 20L
)

Arguments

data	Long table containing feature names and ranks/importance values.
feature	Feature column.
split	Split/resample column.
importance	Importance column, where larger is better.
top_n	Number of top features counted per split.

Value

A data frame containing process-feature stability across repeated analyses. Rows represent the analysis units and columns contain the identifiers, estimates, or diagnostics defined by the function.

eyeprocess documentation built on Sept. 28, 2026, 5:08 p.m.