scale_series

scale_series,NeuroVec,logical,missing-method

scale_series,NeuroVec,logical,logical-method

scale_series,NeuroVec,missing,logical-method

scale_series,NeuroVec,missing,missing-method

Generic functions to scale (center and/or normalize by standard deviation) each series of a 4D image
That is, if the 4th dimension is 'time' each series is a 1D time series.

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

scale_series function

<dl><dt>x</dt>
<dd>a four dimensional image</dd>
<dt>center</dt>
<dd>a <code>logical</code> value indicating whether series should be centered</dd>
<dt>scale</dt>
<dd>a <code>logical</code> value indicating whether series should be divided by standard deviation</dd></dl>

Arguments

Generic functions to scale (center and/or normalize by standard deviation) each series of a 4D image
That is, if the 4th dimension is 'time' each series is a 1D time series. — scale_series

<dl>

<dt>x</dt>
<dd>a four dimensional image</dd>


<dt>center</dt>
<dd>a <code>logical</code> value indicating whether series should be centered</dd>


<dt>scale</dt>
<dd>a <code>logical</code> value indicating whether series should be divided by standard deviation</dd>

</dl>

Generic functions to scale (center and/or normalize by standard deviation) each series of a 4D image
That is, if the 4th dimension is 'time' each series is a 1D time series.

scale_series: Generic functions to scale (center and/or normalize by standard deviation) each series of a 4D image That is, if the 4th dimension is 'time' each series is a 1D time series.

Description

Usage

Value

Arguments

Examples