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plot_counts_barplot() plots cell population counts for each level in group_var as bar plot.

Usage

plot_counts_barplot(
  fcd = condor,
  cluster_slot,
  cluster_var,
  group_var,
  facet_var = NULL,
  facet_by_clustering = F,
  facet_ncol = NULL,
  color_palette = cluster_palette,
  title = "Counts"
)

Arguments

fcd

flow cytometry data set, that has been subjected to clustering or cell type label prediction with cyCONDOR

cluster_slot

string specifying which clustering slot to use to find variable specified in cluster_var

cluster_var

string specifying variable name in cluster_slot that identifies cell population labels to be used (e.g. clusters, metaclusters or predicted labels).

group_var

string indicating variable name in cell_anno that defines grouping variable to be used (x-axis), e.g. group or sample ID.

facet_var

(optional) string indicating variable name in cell_anno that should be used to group levels in group_var via faceting.

facet_by_clustering

logical, if set to TRUE, the plot will be faceted by cell populations specified in cluster_var. If set to FALSE not faceting by population will be applied (default). If both, facet_var and facet_by_clustering are used plot will be faceted by both using applying facet_grid.

facet_ncol

numeric, indicating how many columns faceted plot should have, if either facet_var or Facet_by_clustering is used.

color_palette

vector of colors to be used to fill bar chart plots

title

title of the plot, default is "Counts"

Value

plot_counts_barplot() returns a plot showing cell numbers per cell population for each level in group_var. The plot is faceted by another variable, when provided a facet_var and or by the cell population, depending on facet_by_clustering.

Details

plot_counts_barplot