plot_dotplot: This will create a bar plot with dots

In kgellatl/SignallingSingleCell: Network Analysis for single cell RNA sequencing Data (sc-RNASeq)

Description

This will create a bar plot with dots

Usage

plot_dotplot(
  input,
  gene,
  color_by,
  facet_by = "NA",
  point_by,
  title = "",
  colors = NA,
  ncol = "NA",
  number_labels = T,
  text_sizes = c(20, 10, 5, 10, 5, 5),
  theme = "classic",
  alpha = 0.5,
  stackratio = 0.4,
  dotsize = 3,
  bar = T,
  binwidth = 0.005,
  link = FALSE
)

Arguments

input	Bioconductor’s ExpressionSet Class with bulk value stored in fData.
gene	to plot the expression level of
color_by	a pData variable
facet_by	a pData variable
point_by	a pData variable.
title	The title
colors	What colors to utilize for categorial data. Be sure it is of the proper length!
ncol	How many columns if faceting
number_labels	to show the cell numbers and cell percentage of each bar.
text_sizes	a vector of title_size, axis_title, axis_text, legend_title, legend_text, facet_text, faults too c(20,10,5,10,5,5)
theme	the plot theme
stackratio	the overlap of dots.
dotsize	the size of dots.
bar	the weighted mean.
binwidth	average the values when dots are within the range of (max-min)*binwidth.
link	link the dots from same patients in each panel.

Details

Utilize information stored in pData to control the plot display. Each point_by as a dot with a bar showing the weighted mean of all point_by dots.

Examples

plot_dotplot(ex_sc, gene = "ADCY7", color_by = "Skin", facet_by = "subCellType", point_by = "Patient")

kgellatl/SignallingSingleCell documentation built on Dec. 29, 2021, 4:12 p.m.