plot_het_barplot: Plot variation bargraph

In kazeera/hourglass: This Package Provides Visualizations of Annotated Numeric Data

Plot variation bargraph

Description

Plot variation bargraph

Usage

plot_het_barplot(
  df2,
  title = "",
  subtitle = "",
  pos = "stack",
  var_colors = NULL,
  font_size = 20,
  out_dir = ".",
  save.to.file = T
)

Arguments

df2	A long format data frame with 4 columns: 1) group (group of bars on x), 2) ID (individual bars on x), 3) variable (samples within each bar), 4) value.
title	Plot title and part of file name.
subtitle	Plot subtitle.
pos	How bars should be stacked. Either "fill" (relative ratio, 100% bar) or "stack". See position parameter in geom_bar
var_colors	A named vector with colors as values and annotations/groups as names.
font_size	The size of axis title on plots. The size of plot subtitle and caption is font_size / 2. The size of legend text and x axis text is font_size / 3 and font_size / 1.5.
out_dir	The output directory where the plot will be saved, default is current working directory.
save.to.file	If TRUE, save plot to file in out_dir. If FALSE, print to panel.

Value

Plot object if save.to.file is FALSE.

Example of input data frame

group ID variable value 1 low 1_21043 CD3 273.2400 2 low 1_36312 CD3 700.2100 3 low 1_37265 CD3 931.1133 4 low 1_39924 CD3 1503.2325

See Also

Other plotting: plot_corrplot(), plot_corrplotgg(), plot_discrete_barplot(), plot_heatmap(), plot_indiv_boxplot(), plot_indiv_corrscatt(), plot_indiv_paired(), plot_overview_boxplot(), plot_overview_corr_scatt(), plot_profile_barplot(), run_corrplot_analysis()

kazeera/hourglass documentation built on April 5, 2025, 7:18 a.m.