ndim

ndim,ClusteredNeuroVec-method

ndim,NeuroObj-method

ndim,NeuroSpace-method

Extract the number of dimensions of an object

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

ndim function

<dl><dt>x</dt>
<dd>n-dimensional object</dd>
<dt>...</dt>
<dd>additional arguments</dd></dl>

Arguments

Extract the number of dimensions of an object — ndim

<dl>

<dt>x</dt>
<dd>n-dimensional object</dd>


<dt>...</dt>
<dd>additional arguments</dd>

</dl>

ndim: Extract the number of dimensions of an object

Description

Usage

Value

Arguments

Examples