temporal_access-methods: Extract full sparse rows across time.

In neuroim2: Data Structures for Brain Imaging Data

Extract full sparse rows across time.

Description

This function extracts one or more rows from the sparse time-by-voxel backing representation used by sparse neuroimaging vectors. It complements matricized_access(), which is the column-oriented accessor.

Usage

temporal_access(x, i, ...)

## S4 method for signature 'SparseNeuroVec,integer'
temporal_access(x, i)

## S4 method for signature 'SparseNeuroVec,numeric'
temporal_access(x, i)

## S4 method for signature 'BigNeuroVec,integer'
temporal_access(x, i)

## S4 method for signature 'BigNeuroVec,numeric'
temporal_access(x, i)

Arguments

x	a data source, typically a SparseNeuroVec object containing 4D neuroimaging data
i	a numeric vector of temporal indices to extract
...	additional arguments to be passed to methods.

Value

A matrix with one row per requested time index and one column per sparse voxel in the backing representation.

neuroim2 documentation built on April 16, 2026, 5:07 p.m.