plot_hierarchy: Plot State Hierarchy (Quadrant plot)

In jlaffy/scalop: Single Cell Analysis Operations

Plot State Hierarchy (Quadrant plot)

Description

Plot state hierarchy

Usage

plot_hierarchy(
  X,
  quadrant.names = c("bl", "br", "tl", "tr"),
  main = NULL,
  xlab = "Relative meta-module score [log2(|SC1-SC2|+1)]",
  ylab = "Relative meta-module score [log2(|SC1-SC2|+1)]",
  groups = NULL,
  group.cols = NULL,
  legend = T,
  legend.pos = "bottom",
  legend.horiz = T
)

Arguments

X	two-column matrix or dataframe with x and y coordinates.
quadrant.names	character vector to label quadrants. Default: c("bl", "br", "tl", "tr")
main	plot title. Default: NULL
xlab	x-axis title. Default: 'Relative meta-module score [log2(|SC1-SC2|+1)]'
ylab	y-axis title. Default: 'Relative meta-module score [log2(|SC1-SC2|+1)]'
groups	a named character vector, where the vector corresponds to rownames in X and names are the groups to colour by. Default: NULL
group.cols	named character vector of colours to use for each group. Names should match names in groups. Default: NULL
legend	logical to draw legend if groups are provided. Default: T
legend.pos	legend position. Default: 'bottom'
legend.horiz	logical indicating whether legend should be horizontally drawn. Default: T

Value

base plot

jlaffy/scalop documentation built on March 24, 2024, 9 a.m.