Summarise cluster-based permutation results — summarise_gazepoint

Create compact reporting tables from the output of run_gazepoint_cluster_permutation(). The function returns an overview table, all observed clusters, significant clusters, time-course summary, permutation-distribution summary, settings table, and circularity warning.

Usage

summarise_gazepoint_clusters(
  result,
  alpha = 0.05,
  round_digits = NULL,
  include_timecourse = TRUE
)

Arguments

result: A result object returned by run_gazepoint_cluster_permutation().
alpha: Cluster-level significance threshold.
round_digits: Optional number of digits for rounding numeric reporting columns. If NULL, no rounding is applied.
include_timecourse: Logical. If TRUE, include the full observed time-course table in the returned object.

Value

A list of summary tables.

Details

Cluster-based permutation tests are intended for time-course inference. They should not be used to discover a confirmatory time window and then test that same window again in a second confirmatory model.