plot_pvalues: Plot p-values in -log10 scale with original labels

In vittoriofortino84/COPS: Clustering algorithms for Omics-driven Patient Stratification

Plot p-values in -log10 scale with original labels

Description

To help manage the scale differences, outliers (log p < Q1 - 1.5*IQR) are omitted.

Usage

plot_pvalues(
  x,
  target,
  x_axis_var = NULL,
  color_var = NULL,
  group_var = NULL,
  palette = "Dark2",
  by = c("Approach", "Embedding", "Clustering", "k"),
  facetx = NULL,
  facety = NULL,
  limits = NULL
)

Arguments

x	data.frame
target	column name in x for y axis (boxplot)
x_axis_var	column name in x for x axis
color_var	column name in x for color
group_var	column name in x for group
palette	RColorBrewer palette name
by	column names in x to calculate target quantiles over
facetx	column name in x for x facet
facety	column name in x for y facet
limits	y-axis limits

Value

ggplot object

vittoriofortino84/COPS documentation built on Jan. 28, 2025, 3:16 p.m.