merge_categorical_clusters: Merge Categorically Similar Clusters
In rogerswt/fluster: Fingerprint-based clustering of flow cytometry data

Clusters are labeled with a categorical vector in which each marker is either "hi" or "lo" with respect to a threshold. If a marker is not unambiguously either hi or lo, it's labeled as "un" for "unknown. To receive hi (lo), the cluster center must be sufficiently above (below) the threshold in units of the standard deviation of that marker.

1	merge_categorical_clusters(fluster_obj, sd_fac = 1)

`fluster_obj`	A fluster object.
`sd_fac`	A factor multiplying the standard deviation to determine if that marker is sufficiently above (below) the threshold in order to labeled "hi" ("lo").

A fluster object after categorical merging.

rogerswt/fluster documentation built on July 21, 2021, 1:04 p.m.