FeatThrTab_boxplot: Generate a boxplot with jittered points for the percentage of...

In eisascience/scCustFx: single-cell custom fxs Package

Generate a boxplot with jittered points for the percentage of values exceeding a threshold.

Description

Generate a boxplot with jittered points for the percentage of values exceeding a threshold.

Usage

FeatThrTab_boxplot(
  SerObj,
  FeatName = NULL,
  CutThresh = NULL,
  MetaDataName = "Population",
  TitleExtra = "",
  col = "#A6CEE3",
  MetaDataName2 = "SubjectId",
  ylab_text = "",
  xlab_text = "",
  base_size = 16,
  my_comparisons = NULL,
  limits = c(0, 110),
  GT = T,
  StatMethod = "wilcox.test",
  StatLab = "p.signif"
)

Arguments

SerObj	The input data or object.
FeatName	The name of the feature variable.
CutThresh	The threshold value for categorizing values.
MetaDataName	The name of the metadata variable for grouping (default: "Population").
TitleExtra	Additional title text for the plot.
col	The color for the boxplot and jittered points (default: "#A6CEE3").
MetaDataName2	The name of the second metadata variable (default: "SubjectId").
ylab_text	The label for the y-axis.
xlab_text	The label for the x-axis.
base_size	The base font size for the plot (default: 16).
my_comparisons	A vector specifying pairwise comparisons for statistical testing (default: NULL).
limits	A vector to define the limits of the percent axis (default: c(0, 110)).
GT	T/F to select greater than and equal to threshold if T else less than (default: T).
StatMethod	passed to stat_compare_means only in t.test and in wilcox.test (default: wilcox.test).
StatLab	passed to stat_compare_means p.signif" (shows the significance levels), "p.format" (shows the formatted p value), (default: p.signif).

Value

A ggplot object representing the boxplot with jittered points.

Examples

# Example usage:
FeatThrTab_boxplot(SerObj, FeatName = "Feature1", CutThresh = 0.5)

eisascience/scCustFx documentation built on June 2, 2025, 3:59 a.m.