clustheatmap function

Plotting clusters in a heatmap representation of the cell distances

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.

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

Returns

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