as.vector,SparseNeuroVol-method

Supplies an `as.vector` S4 method that flattens sparse volumes to a dense
vector, keeping the same voxel ordering as `as.array`.

A collection of data structures and methods for handling volumetric
brain imaging data, with a focus on functional magnetic resonance imaging (fMRI). Provides efficient
representations for three-dimensional and four-dimensional neuroimaging data through sparse and dense array
implementations, memory-mapped file access for large datasets, and
spatial transformation capabilities. Implements methods for image resampling,
spatial filtering, region of interest analysis, and connected component labeling. General introduction
to fMRI analysis can be found in Poldrack et al. (2024, "Handbook of functional MRI data analysis",
<ISBN:9781108795760>).

Bradley Buchsbaum

neuroim2

Data Structures for Brain Imaging Data

as.vector,SparseNeuroVol-method function

<dl><dt>x</dt>
<dd>A `SparseNeuroVol` instance.</dd>
<dt>mode</dt>
<dd>Optional coercion mode (see [base::as.vector]).</dd></dl>

Arguments

Convert SparseNeuroVol to a base vector — as.vector,SparseNeuroVol-method

<dl>

<dt>x</dt>
<dd>A `SparseNeuroVol` instance.</dd>


<dt>mode</dt>
<dd>Optional coercion mode (see [base::as.vector]).</dd>

</dl>

as.vector,SparseNeuroVol-method: Convert SparseNeuroVol to a base vector

Description

Usage

Value

Arguments