| compute_clustermass {permuco} | R Documentation |
Clustermass test correction
Description
Compute the clustermass test correction given a matrix a permuted statistical signals.
Usage
compute_clustermass(distribution, threshold, aggr_FUN, alternative = "greater")
Arguments
distribution |
A matrix of permuted statistical signal. The first row indicating the observed statistics. |
threshold |
A scalar that respresents the threshold to create the clusters. |
aggr_FUN |
A function to compute the clustermasses. See details for examples. |
alternative |
A character string indicating the alternative hypothesis. Default is |
Details
The aggr_FUN argument may take predefined function as the sum: aggr_FUN = sum and also user-defined function as the sum of squares: aggr_FUN = function(x){sum(x^2)}
See Also
Other multcomp:
compute_clusterdepth_head(),
compute_clusterdepth(),
compute_maxT(),
compute_minP(),
compute_stepdownmaxT(),
compute_tfce(),
compute_troendle()