plot_qc: Plot the QC metrics of an individual biological sample

In xmc811/Scillus: Seurat wrapper package enhancing the processing and visualization of single cell data

Description

Plot the QC metrics of an individual biological sample

Usage

plot_qc(
  data_list,
  metrics,
  group_by = "sample",
  plot_type = "combined",
  pal_setup = "Set2"
)

Arguments

data_list	A list of Seurat objects.
metrics	A string - the name of the QC metrics.
group_by	A string - the grouping variable in the metadata.
plot_type	A string - the type of the plot. Can take values in c("box", "violin", "combined", "density").
pal_setup	A dataframe with 2 columns - the RColorBrewer palette setup to be used; Or a character vector of RColorBrewer palettes. Multiple palettes can be specified, in case of many levels to be colored; Or a character vector of colors.

Value

A plot.

xmc811/Scillus documentation built on April 26, 2021, 1:41 a.m.