View source: R/compute_clusterdepth_head.R
compute_clusterdepth_head | R Documentation |
Compute the cluster-depth test correction (from the head) given a matrix a permuted statistical signals.
compute_clusterdepth_head(distribution, threshold, alternative = "two.sided")
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 |
Other multcomp:
compute_clusterdepth()
,
compute_clustermass()
,
compute_maxT()
,
compute_minP()
,
compute_stepdownmaxT()
,
compute_tfce()
,
compute_troendle()
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