plot_stat: Plot the basic statistics after cell clustering and labeling

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

Description

Plot the basic statistics after cell clustering and labeling

Usage

plot_stat(
  dataset,
  plot_type,
  group_by = "sample",
  pal_setup = "Set2",
  plot_ratio = 1,
  text_size = 10,
  tilt_text = FALSE
)

Arguments

dataset	A Seurat object.
plot_type	A string - one of "group_count", "prop_fill", and "prop_multi".
group_by	A string - the grouping variable in the metadata.
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.
plot_ratio	A numeric value - the aspect ratio of the plot.
text_size	A numeric value - the text size of the plot.
tilt_text	A logical value - whether the x axis label text is tilted.

Value

A plot.

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