ColumnReader-class

A class that supports reading of data from a matrix-like storage format, such as a file or a database, in a column-wise manner.

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

ColumnReader-class function

<dl>
<dt><code>nrow</code></dt>
<dd>An <code>integer</code> representing the number of rows in the matrix-like storage.</dd></dl>
<dt><code>ncol</code></dt>
<dd>An <code>integer</code> representing the number of columns in the matrix-like storage.</dd>
<dt><code>reader</code></dt>
<dd>A <code>function</code> that takes a set of column indices as input and returns a <code>matrix</code> containing the requested columns from the storage.</dd>

Slots

ColumnReader — ColumnReader-class

<dl>
<dt><code>nrow</code></dt>
<dd>An <code>integer</code> representing the number of rows in the matrix-like storage.</dd>


<dt><code>ncol</code></dt>
<dd>An <code>integer</code> representing the number of columns in the matrix-like storage.</dd>


<dt><code>reader</code></dt>
<dd>A <code>function</code> that takes a set of column indices as input and returns a <code>matrix</code> containing the requested columns from the storage.</dd>


</dl>

ColumnReader-class: ColumnReader

Description

Arguments

Slots