dumbPlot: Dumbbell plot with clusters

In jgarces02/FlowCT: A semi-automated workflow for deconvolution of immunophenotypic data and objective reporting on large datasets

Dumbbell plot with clusters

Description

It draws a Dumbbell plot according condition for each cell cluster identified.

Usage

dumbPlot.cell.clustering(
  fcs.SCE,
  assay.i = "normalized",
  cell.clusters,
  condition.column,
  psig.cutoff = 0.05,
  return.stats = F,
  colors
)

Arguments

fcs.SCE	A fcs.SCE object generated through FlowCT::fcs.SCE().
assay.i	Name of matrix stored in the fcs.SCE object from which calculate correlation. Default = "normalized".
cell.clusters	Name of column containing clusters identified through FlowCT::clustering.flow().
condition	Column name from the colData(fcs.SCE) object which contains condition information.
psig.cutoff	P-value cutoff. Default = 0.05.
return.stats	Logical indicating if calculated statistics should be returned in a new variable. Default = FALSE.
colors	Vector with colors for plotting.

Examples

## Not run: 
diffDots.cell.clustering(fcs.SCE = fcs, cell.clusters = "SOM_named")

## End(Not run)

jgarces02/FlowCT documentation built on March 28, 2023, 12:42 p.m.