Plot of cluster assignments in an extended solutions data frame

This plot, built on ComplexHeatmap::Heatmap(), visualizes the cluster assignments in a solutions data frame as a categorical heatmap with observations along the columns and clusters along the rows.

Usage

# S3 method for class 'ext_solutions_df'
plot(
  x,
  y = NULL,
  cluster_rows = TRUE,
  cluster_columns = TRUE,
  show_row_names = TRUE,
  show_column_names = TRUE,
  heatmap_legend_param = NULL,
  row_title = "Solution",
  column_title = "Observation",
  ...
)

# S3 method for class 't_ext_solutions_df'
plot(x, ...)

Arguments

x: An ext_solutions_df object.
y: Optional argument to plot, not used in this method.
cluster_rows: If the value is a logical, it controls whether to make cluster on rows. The value can also be a hclust or a dendrogram which already contains clustering. Check https://jokergoo.github.io/ComplexHeatmap-reference/book/a-single-heatmap.html#clustering .
cluster_columns: Whether make cluster on columns? Same settings as cluster_rows.
show_row_names: Whether show row names.
show_column_names: Whether show column names.
heatmap_legend_param: A list contains parameters for the heatmap legends. See color_mapping_legend,ColorMapping-method for all available parameters.
row_title: Title on the row.
column_title: Title on the column.
...: Additional arguments passed to ComplexHeatmap::Heatmap().

Value

A ComplexHeatmap::Heatmap() object visualization of cluster assignments.