as.sparse,DenseNeuroVec,LogicalNeuroVol-method

as.sparse,DenseNeuroVec,numeric-method

as.sparse,DenseNeuroVol,LogicalNeuroVol-method

as.sparse,DenseNeuroVol,numeric-method

as.sparse,ROIVol,ANY-method

This method converts a DenseNeuroVec object to a sparse representation using a given LogicalNeuroVol mask.
This method converts a DenseNeuroVec object to a sparse representation using a given numeric mask.

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.sparse,DenseNeuroVec,LogicalNeuroVol-method function

<dl><dt>x</dt>
<dd>A DenseNeuroVec object to convert to a sparse representation.</dd>
<dt>mask</dt>
<dd>A numeric vector representing the mask to apply during conversion.</dd></dl>

Arguments

Convert DenseNeuroVec to sparse representation using mask — as.sparse,DenseNeuroVec,LogicalNeuroVol-method

<dl>

<dt>x</dt>
<dd>A DenseNeuroVec object to convert to a sparse representation.</dd>


<dt>mask</dt>
<dd>A numeric vector representing the mask to apply during conversion.</dd>

</dl>

as.sparse,DenseNeuroVec,LogicalNeuroVol-method: Convert DenseNeuroVec to sparse representation using mask

Description

Usage

Value

Arguments