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# bar chart of cell population counts

Source: `R/data_visualization.R`
`plot_counts_barplot.Rd`

`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