scrna_evalPlot_overall: scrna_evalPlot_overall

In pipeComp: pipeComp pipeline benchmarking framework

Description

Plots a multi-level summary heatmap of many analyses of the 'scrna_pipeline'.

Usage

scrna_evalPlot_overall(
  res,
  agg.by = NULL,
  width = NULL,
  datasets_as_columnNames = TRUE,
  rowAnnoColors = NULL,
  column_names_gp = gpar(fontsize = 10),
  column_title_gp = gpar(fontsize = 12),
  heatmap_legend_param = list(by_row = TRUE, direction = "horizontal", nrow = 1),
  ...
)

Arguments

res	Aggregated pipeline results (i.e. the output of 'runPipeline' or 'aggregateResults')
agg.by	The paramters by which to aggregate.
width	The width of individual heatmap bodies.
datasets_as_columnNames	Logical; whether dataset names should be printed below the columns (except for silhouette) rather than using a legend.
rowAnnoColors	Optional list of colors for the row annotation variables (passed to 'HeatmapAnnotation(col=...)')
column_names_gp	Passed to each calls to 'Heatmap'
column_title_gp	Passed to each calls to 'Heatmap'
heatmap_legend_param	Passed to each calls to 'Heatmap'
...	Passed to each calls to 'Heatmap'

Value

A HeatmapList

Examples

library(ComplexHeatmap)
data("exampleResults")
h <- scrna_evalPlot_overall(exampleResults)
draw(h, heatmap_legend_side="bottom")

pipeComp documentation built on Nov. 8, 2020, 7:35 p.m.