plot_stratifying_clusters: Plotting stratifying clusters

In ParkerICI/kumquat: Identification of stratifying subpopulations in Flow Cytometry Data (based on the Citrus package)

Description

Plotting stratifying clusters

Usage

plot_stratifying_clusters(
  citrus.model,
  clusters.data,
  output.dir,
  col.names = names(clusters.data),
  by.cluster = FALSE
)

Arguments

citrus.model	An object of class citrus.regressionResult, as returned from get_model
clusters.data	A data.frame containing the clusters data. Each row is a cell and column represents the expression of different markers (non numeric columns are dropped)
output.dir	The directory that will contain the output. Additional directories and sub-directories will be created in output.dir
col.names	Which columns of clustersData to include in the plot. The default is to include all columns in the plot
by.cluster	If this is TRUE this function will generate a separate plot for each cluster, otherwise or a single plot with all the clusters. The latter option may take quite long to plot if there are several clusters

ParkerICI/kumquat documentation built on Dec. 18, 2021, 6:40 a.m.