compute_clusterdepth: Cluster-depth correction

In permuco: Permutation Tests for Regression, (Repeated Measures) ANOVA/ANCOVA and Comparison of Signals

Cluster-depth correction

Description

Compute the clusterdepth test correction given a matrix a permuted statistical signals.

Usage

compute_clusterdepth(distribution, threshold, alternative = "two.sided")

Arguments

distribution	A matrix of permuted statistical signal. The first row indicating the observed statistics.
threshold	A scalar that represents the threshold to create the clusters.
alternative	A character string indicating the alternative hypothesis. Default is "greater". Choose between "greater", "less" or "two.sided".

See Also

Other multcomp: compute_clusterdepth_head(), compute_clustermass(), compute_maxT(), compute_minP(), compute_stepdownmaxT(), compute_tfce(), compute_troendle()

permuco documentation built on Sept. 11, 2024, 8:31 p.m.