ClusteredBrainVolume-class: ClusteredBrainVolume

In neuroim: Data Structures and Handling for Neuroimaging Data

Description

Three-dimensional brain image that is divided into N disjoint partitions

Construct a ClusteredBrainVolume instance

Usage

ClusteredBrainVolume(mask, clusters, labelMap = NULL, source = NULL,
  label = "")

Arguments

mask	an instance of class LogicalBrainVolume
clusters	a vector of clusters ids with length equal to number of nonzero voxels in mask mask
labelMap	an optional list that maps from cluster id to a cluster label, e.g. (1 -> "FFA", 2 -> "PPA")
source	an optional instance of class BrainSource
label	an optional character string used to label of the volume

Value

ClusteredBrainVolume instance

Examples

bspace <- BrainSpace(c(16,16,16), spacing=c(1,1,1))
grid <- indexToGrid(bspace, 1:(16*16*16))
kres <- kmeans(grid, centers=10)
mask <- BrainVolume(rep(1, 16^3),bspace)
clusvol <- ClusteredBrainVolume(mask, kres$cluster)

neuroim documentation built on May 2, 2019, 1:04 p.m.