Sim_CICA: Simulate CICA data
In CICA: Clusterwise Independent Component Analysis

Sim_CICA

R Documentation

Simulate CICA data

Description

Simulate CICA data

Usage

Sim_CICA(
  Nr,
  Q,
  R,
  voxels,
  timepoints,
  E,
  overlap = NULL,
  externalscore = FALSE
)

Arguments

`Nr`	number of subjects per cluster
`Q`	number of components
`R`	number of clusters
`voxels`	number of voxels
`timepoints`	number of time points
`E`	proportion of independent gaussian noise
`overlap`	amount of overlap between S across clusters. Smaller value means more overlap
`externalscore`	add simulated external score (default is FALSE)

Value

a list with simulated CICA data

Examples

## Not run: 

#Use set.seed(1) to obtain the dataset used in the article "Clusterwise
#Independent Component Analysis (CICA): an R package for clustering subjects
#based on ICA patterns underlying three-way (brain) data"

Xe <- Sim_CICA(Nr = 15, Q = 5, R = 4, voxels = 100, timepoints = 10,
E = 0.4, overlap = .25, externalscore = TRUE)

## End(Not run)

CICA documentation built on July 26, 2023, 5:51 p.m.