plot_measure: Box plot/Violin plot of gene expressions or meta measures

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

Description

Box plot/Violin plot of gene expressions or meta measures

Usage

plot_measure(
  dataset,
  measures,
  group_by,
  split_by = NA,
  pal_setup = "Set2",
  plot_type = "combined"
)

Arguments

dataset	A Seurat object.
measures	A character vector - names of genes or meta measures to plot.
group_by	A string - the grouping variable in the metadata.
split_by	A string - the splitting 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_type	A string - type of the plot. Should be values in c("box", "violin", "combined").

Value

A plot.

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