show_group_mapping: Map Groups using Sankey

In sigminer: Extract, Analyze and Visualize Mutational Signatures for Genomic Variations

Map Groups using Sankey

Description

This feature is designed for signature analysis. However, users can also use it in other similar situations.

Usage

show_group_mapping(
  data,
  col_to_flow,
  cols_to_map,
  include_sig = FALSE,
  fill_na = FALSE,
  title = NULL,
  xlab = NULL,
  ylab = NULL,
  custom_theme = cowplot::theme_minimal_hgrid()
)

Arguments

data	a data.frame containing signature group and other categorical groups.
col_to_flow	length-1 character showing the column to flow, typically a signature group.
cols_to_map	character vector showing colnames of other groups.
include_sig	default if FALSE, if TRUE, showing signature group.
fill_na	length-1 string to fill NA, default is FALSE.
title	the title.
xlab	label for x axis.
ylab	label for y axis.
custom_theme	theme for plotting, default is cowplot::theme_minimal_hgrid().

Value

a ggplot object

Examples

data <- dplyr::tibble(
  Group1 = rep(LETTERS[1:5], each = 10),
  Group2 = rep(LETTERS[6:15], each = 5),
  zzzz = c(rep("xx", 20), rep("yy", 20), rep(NA, 10))
)
p1 <- show_group_mapping(data, col_to_flow = "Group1", cols_to_map = colnames(data)[-1])
p1

p2 <- show_group_mapping(data,
  col_to_flow = "Group1", cols_to_map = colnames(data)[-1],
  include_sig = TRUE
)
p2

sigminer documentation built on Aug. 21, 2023, 9:08 a.m.