plot_brain.simule: plot 3d brain network from simule result

In JointNets: End-to-End Sparse Gaussian Graphical Model Simulation, Estimation, Visualization, Evaluation and Application

Description

This function plots 3d brain network from simule result

Usage

## S3 method for class 'simule'
plot_brain(x, type = "task", neighbouroption = "task",
  subID = NULL, index = NULL, hastitle = TRUE, haslegend = TRUE,
  hasbackground = TRUE, ...)

Arguments

x	output generated from simule function (simule class)
type	type of graph. There are four options: "task" (graph for each task (including shared part) specified further by subID (task number)) "share" (shared graph for all tasks) "taskspecific" (graph for each task specific graph (excluding shared part) specified further by subID (task number) ) "neighbour" (zoom into nodes in the graph specified further by neighbouroptoin, subID (task number) and index (node id))
neighbouroption	determines what type of graph to zoom into when parameter "type" is "neighbour". There are two options: "task" (zoom into graph for each task (including shared part)) "taskspecific" (zoom into graph for each task specific (excluding shared part))
subID	selects which task to display. There are four options: 0 (only allowed when "type" is "task" or "type" is "neighbour" and "neighbouroption" is "task") (selects share graph) positive task number (selects that particular task) a vector of task number (selects multiple tasks) NULL (selects all tasks (all graphs))
index	determines which node(s) to zoom into when parameter "type" is "neighbour". This parameter could either be an integer or vector of integers representing node ids (zoom into one node or multiple nodes)
hastitle	determines whether the graph title is displayed or not (TRUE to display / FALSE to hide)
haslegend	determines whether the graph legend is displayed or not (TRUE to display / FALSE to hide)
hasbackground	determines whether the reference brain is plotted or not (TRUE to display / FALSE to hide)
...	extra parameters passed to igraph::rglplot()

Details

The function plots brain network using rglplot.igraph

Value

3d (rgl) brain network

Author(s)

Zhaoyang Wang (Author), Zhaoyang Wang (maintainer) [e-mail]

Examples

library(JointNets)
graphics.off()
par(ask=FALSE)
par(mfrow=c(1,1))
data(ABIDE_aal116_timeseries)
data(aal116coordinates)
layout = cbind(aal116coordinates$x.mni + 90,
aal116coordinates$y.mni+126, aal116coordinates$z.mni+72)
result = simulation(p=116, s = 0.001, ss = 0.001, n = c(1,1))$simulatedgraphs
class(result) = "simule"
plot_brain(result, type = "task", neighbouroption = "task",
subID = NULL, index = NULL, layout = layout, hasbackground = FALSE)

result = simule(ABIDE_aal116_timeseries, 0.2, 1, covType = "cov", FALSE)
plot_brain(result, type = "task", neighbouroption = "task",
subID = NULL, index = NULL, layout = layout)

JointNets documentation built on July 30, 2019, 1:02 a.m.