as.matrix,ClusteredNeuroVec-method

as.matrix,MappedNeuroVec-method

as.matrix,NeuroVec-method

as.matrix,DenseNeuroVec-method

as.matrix,ROIVec-method

as.matrix,SparseNeuroVec-method

convert a <code>NeuroVec</code> to a matrix
convert a <code>ROIVec</code> to a matrix
Convert to Matrix

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.matrix,ClusteredNeuroVec-method function

<dl><dt>x</dt>
<dd>The object to convert to a matrix</dd>
<dt>by</dt>
<dd>For ClusteredNeuroVec: controls the conversion target.
Defaults to "cluster" to return a TxK matrix of cluster time-series.
"voxel" is reserved for future use.</dd>
<dt>...</dt>
<dd>Additional arguments</dd></dl>

Arguments

convert a NeuroVec to a matrix — as.matrix,ClusteredNeuroVec-method

<dl>

<dt>x</dt>
<dd>The object to convert to a matrix</dd>


<dt>by</dt>
<dd>For ClusteredNeuroVec: controls the conversion target.
Defaults to "cluster" to return a TxK matrix of cluster time-series.
"voxel" is reserved for future use.</dd>


<dt>...</dt>
<dd>Additional arguments</dd>

</dl>

as.matrix,ClusteredNeuroVec-method: convert a `NeuroVec` to a matrix

Description

Usage

Value

Arguments