plot_barIdentGroup: Generate barplot of identity group composition

In CBMR-Single-Cell-Omics-Platform/SCOPfunctions: Single Cell Omics Platform Functions

Description

Generate a percentage barplot that shows the composition of each identity (e.g. sample)in terms of groups (e.g. cell types)

Usage

plot_barIdentGroup(
  seurat_obj,
  var_ident,
  var_group,
  vec_group_colors = NULL,
  f_color = colorRampPalette(brewer.pal(n = 11, name = "RdYlBu")),
  do_plot = F,
  title = NULL,
  fontsize_title = 24,
  fontsize_axistitle_x = 18,
  fontsize_axistitle_y = 18,
  fontsize_axistext_x = 12,
  fontsize_axistext_y = 12,
  fontsize_legendtitle = 12,
  fontsize_legendtext = 10,
  aspect.ratio = 1.2
)

Arguments

seurat_obj	Seurat object (Seurat ^3.0)
var_ident	the identify variable, character
var_group	the group variable, character
vec_group_colors	a vector of colors, named by corresponding group. Length must match number of groups. Character
f_color	if vec_group_colors is not provided, the user may instead provide a function f_color() that takes as its only argument the number of colors to generate
do_plot	Whether to plot, logical
title	NULL to leave out
fontsize_title	NULL to leave out
fontsize_axistitle_x	NULL to leave out
fontsize_axistitle_y	NULL to leave out
fontsize_axistext_x	NULL to leave out
fontsize_axistext_y	NULL to leave out
fontsize_legendtitle	NULL to leave out
fontsize_legendtext	NULL to leave out
aspect.ratio	passed to ggplot2

Value

a ggplot2 object

CBMR-Single-Cell-Omics-Platform/SCOPfunctions documentation built on May 29, 2021, 3:52 p.m.