SparseBrainVector-class: SparseBrainVector

In neuroim: Data Structures and Handling for Neuroimaging Data

Description

a sparse four-dimensional brain image, backed by a matrix, where each column represents a vector spanning the fourth dimension (e.g. time)

constructs a SparseBrainVector object

Usage

SparseBrainVector(data, space, mask, source = NULL, label = "")

Arguments

data	an array which can be a matrix or 4-D array
space	a BrainSpace instance
mask	a 3D array of type logical
source	the data source – an instance of class BrainSource
label	associated sub-image labels

Slots

mask

the mask defining the sparse domain

data

the matrix of series, where rows span across voxel space and columns span the fourth dimensions

map

instance of class IndexLookupVolume is used to map between spatial and index/row coordinates

Examples

bspace <- BrainSpace(c(10,10,10,100), c(1,1,1))
mask <- array(rnorm(10*10*10) > .5, c(10,10,10))
mat <- matrix(rnorm(sum(mask)), 100, sum(mask))
svec <- SparseBrainVector(mat, bspace,mask)
length(indices(svec)) == sum(mask)

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