ClusterDistrBar: Cluster proportion bar plot

In huayc09/SeuratExtend: SeuratExtend

Cluster proportion bar plot

Description

Plot the percentage/absolute cell count of each cluster in each sample

Usage

ClusterDistrBar(
  origin,
  cluster,
  rev = F,
  normalize = rev,
  percent = T,
  plot = T,
  flip = T,
  reverse_order = T,
  width = 0.9,
  stack = T,
  cols = "pro_default",
  border = "white"
)

Arguments

origin	factor/vector of sample
cluster	factor/vector of cluster
rev	If TRUE, plot the proportion of sample in each cluster, Default: F
normalize	Normalize sample size to 100, Default: rev
percent	If FALSE, plot absolute cell number instead of percentage, Default: T
plot	Generate plot (TRUE) or matrix (FALSE), Default: T
flip	If plot bars horizontally, Default: T
reverse_order	If TRUE, will reverse the default stacking order. Default: T
width	Width of bars, Default: 0.9
stack	If TRUE, plot stacked bars, Default: T
cols	Colors to use for plotting. Default: "pro_default"
border	Border color, Default: "white"

Details

See example

Value

ggplot object or matrix

Examples

ClusterDistrBar(origin = pbmc$orig.ident, cluster = pbmc$cluster)

# absolute cell count
ClusterDistrBar(origin = pbmc$orig.ident, cluster = pbmc$cluster, percent = F)

# reverse x and y axis, normalized by sample size
ClusterDistrBar(origin = pbmc$orig.ident, cluster = pbmc$cluster, rev = T, normalize = T)

# reverse x and y axis, not normalized by sample size
ClusterDistrBar(origin = pbmc$orig.ident, cluster = pbmc$cluster, rev = T, normalize = F)

# vertical bar plot, and keep the default stacking order
ClusterDistrBar(origin = pbmc$orig.ident, cluster = pbmc$cluster, flip = F, reverse_order = F)

# not stacking bars
ClusterDistrBar(origin = pbmc$orig.ident, cluster = pbmc$cluster, flip = FALSE, stack = FALSE)

# export matrix
ClusterDistrBar(origin = pbmc$orig.ident, cluster = pbmc$cluster, plot = F)

huayc09/SeuratExtend documentation built on March 29, 2025, 7:28 p.m.