vizChord: vizChord

In FCtools: Functional Connectivity Tools

vizChord

Description

Visualizing brain connectivity profiles with a chord diagram

Usage

vizChord(
  data,
  hot = "#F8766D",
  cold = "#00BFC4",
  width = 1200,
  height = 1200,
  filename = paste0(tempdir(), "/conn.png"),
  colorscheme,
  title,
  leg.height = 100,
  ncol = 1,
  nrow = 1,
  colorbar_title = "Connectivity Strength"
)

Arguments

data	a vector of edge values with a length of 78, 4005, 7021, 23871 or 30135.
hot	color for the positive connections.Set to ⁠#F8766D⁠ by default.
cold	color for the negative connections.Set to ⁠#00BFC4⁠ by default.
width	width (in pixels) of each connectogram. Set to 1200 by default.
height	height (in pixels) of each connectogram . Set to 1200 by default.
filename	output path and file name with a *.png file extension. Set to conn.png by default in the temporary directory (tempdir()).
colorscheme	an optional vector of color names or color codes to color code the networks.
title	a vector of strings to be used as title
leg.height	height (in pixels) of legend, in pixels. Set to 100 by default. Not used for single row data
ncol	number of columns in the plot. Not used for single row data
nrow	number of rows in the plot. Not used for single row data
colorbar_title	title for the colorbar legend

Details

This function takes a matrix (NROW=number of edges in the connectome; NCOL=number of edges in the connectome) of edge values and visualizes the average network-to-network connectivity in a chord diagram.

Value

A .png image

Examples

results=runif(7021, min = -1, max = 1)
vizChord(data=results, filename=paste0(tempdir(),"/FC_chord119.png"))

FCtools documentation built on Sept. 15, 2026, 5:09 p.m.