shcutree: Cut SHC Tree by Significance

In pkimes/sigclust2: sigclust2: Statistical Significance of Clustering

Description

Returns the cluster labels based on cutting the tree at the specified alpha level

Usage

shcutree(obj, alpha = 0.05, ci_idx = 1, ci_emp = FALSE)

Arguments

obj	shc object
alpha	a double between 0 and 1 specifying the FWER controlled significance cutoff (default = 0.05)
ci_idx	a numeric value between 1 and length(ci) specifiying which CI to use for the FWER stopping rule. This only has an effect if alpha < 1. (default = 1)
ci_emp	a logical value specifying whether to use the empirical p-value from the CI based on ci_idx for the FWER stopping rule. As with ci_idx this only has an effect if alpha < 1. (default = FALSE)

Value

a vector of length n specifying cluster labels based on specified FWER alpha threshold.

Author(s)

Patrick Kimes

pkimes/sigclust2 documentation built on May 25, 2019, 8:20 a.m.