results_heatmap {biclustermd}

Make a heatmap of sparse biclustering results

Description

Make a heatmap of sparse biclustering results

Usage

results_heatmap(
  x,
  reorder = FALSE,
  transform_colors = FALSE,
  c = 1/6,
  cell_alpha = 1/5,
  col_clusts = NULL,
  row_clusts = NULL,
  ...
)

Arguments

x

A biclustermd object.

reorder

A logical. If TRUE, heatmap will be sorted according to the cell-average matrix, A.

transform_colors

If equals TRUE then the data is scaled by c and run through a standard normal cdf before plotting. If FALSE (default), raw data values are used in the heat map.

c

Value to scale the data by before running it through a standard normal CDF. Default is 1/6.

cell_alpha

A scalar defining the transparency of shading over a cell and by default this equals 1/5. The color corresponds to the cell mean.

col_clusts

A vector of column cluster indices to display. If NULL (default), all are displayed.

row_clusts

A vector of row cluster indices to display. If NULL (default), all are displayed.

...

Arguments to be passed to geom_vline() and geom_hline().

Value

An object of class ggplot.