cutreeStatic: Constant-height tree cut
In nosarcasm/WGCNA: Weighted Correlation Network Analysis

Description Usage Arguments Details Value Author(s) See Also

Module detection in hierarchical dendrograms using a constant-height tree cut. Only branches whose size is at least minSize are retained.

1	cutreeStatic(dendro, cutHeight = 0.9, minSize = 50)

`dendro`	a hierarchical clustering dendrogram such as returned by `hclust`.
`cutHeight`	height at which branches are to be cut.
`minSize`	minimum number of object on a branch to be considered a cluster.

This function performs a straightforward constant-height cut as implemented by cutree, then calculates the number of objects on each branch and only keeps branches that have at least minSize objects on them.

A numeric vector giving labels of objects, with 0 meaning unassigned. The largest cluster is conventionally labeled 1, the next largest 2, etc.

Peter Langfelder

hclust for hierarchical clustering, cutree and cutreeStatic for other constant-height branch cuts, standardColors to convert the retuned numerical lables into colors for easier visualization.

nosarcasm/WGCNA documentation built on May 28, 2019, 1:01 p.m.