Plots data as faceted scatterplot emulating the ouput of flow cytometry

Simulates flow cytometry plots for single cell rna seq data

plot_flowstyle(object, markernames, classif_col = "ident", ...)

# S3 method for data.frame
plot_flowstyle(
  object,
  markernames,
  classif_col = "ident",
  warn = TRUE,
  highlight_class = NULL,
  ...
)

# S3 method for Seurat
plot_flowstyle(object, markernames, classif_col = "ident", ...)

Arguments

object

data, either a Seurat of a data frame object
markernames

names of the markers to be used for the plot
classif_col

name of the classification column to be used for the grouping, defaults to "ident"
...

additional argumetns to be passed to GGally::ggpairs
warn

logical indicating if warninf should be shown, defaults to TRUE
highlight_class

a character indicating a class if it wants to be highlighted. ie "1"

Value

a ggplot grid with the plots

Details

Note that it imputes a little bit of noise to values of 0 just for the Sake of visualization

Methods (by class)

  • data.frame: Draw a flowstyle plot from a data.frame

  • Seurat: Draw a flowstyle plot from a Seurat object

Examples

plot_flowstyle(Seurat::pbmc_small, c("ACRBP", "TSC22D1", "VDAC3"))