clustheatmap {DIscBIO}

Plotting clusters in a heatmap representation of the cell distances

Description

This functions plots a heatmap of the distance matrix grouped by clusters. Individual clusters are highlighted with rainbow colors along the x and y-axes.

Usage

clustheatmap(
  object,
  clustering_method = "k-means",
  hmethod = "single",
  rseed = NULL,
  quiet = FALSE,
  plot = TRUE
)

## S4 method for signature 'DISCBIO'
clustheatmap(
  object,
  clustering_method = "k-means",
  hmethod = "single",
  rseed = NULL,
  quiet = FALSE,
  plot = TRUE
)

Arguments

object

DISCBIO class object.

clustering_method

either "k-means" or "model-based" ("k" and "mb" are also accepted)

hmethod

Agglomeration method used for determining the cluster order from hierarchical clustering of the cluster medoids. This should be one of "ward.D", "ward.D2", "single", "complete", "average". Default is "single".

rseed

Random integer to fix random results.

quiet

if 'TRUE', intermediary output is suppressed

plot

if 'TRUE', plots the heatmap; otherwise, just prints cclmo

Value

Unless otherwise specified, a heatmap and a vector of the underlying cluster order.