compute_clusterdepth {permuco} | R Documentation |
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 |
See Also
Other multcomp:
compute_clusterdepth_head()
,
compute_clustermass()
,
compute_maxT()
,
compute_minP()
,
compute_stepdownmaxT()
,
compute_tfce()
,
compute_troendle()
[Package permuco version 1.1.2 Index]