scale_fill_neuro

A ggplot2 fill scale with neuroimaging-friendly defaults

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_fill_neuro function

<dl><dt>cmap</dt>
<dd>Palette name or vector of colors. See [resolve_cmap()].</dd>
<dt>range</dt>
<dd>Either "robust" (quantiles) or "data" (min/max) to determine
the default scale limits when `limits` is not provided.</dd>
<dt>probs</dt>
<dd>Two-length numeric vector of quantiles for `range="robust"`.</dd>
<dt>limits</dt>
<dd>Optional numeric limits (min, max). Overrides `range`.</dd>
<dt>na.value</dt>
<dd>Color for NA.</dd>
<dt>guide</dt>
<dd>Legend guide (default "colorbar").</dd></dl>

Arguments

A ggplot2 fill scale with neuroimaging-friendly defaults — scale_fill_neuro

<dl>

<dt>cmap</dt>
<dd>Palette name or vector of colors. See [resolve_cmap()].</dd>


<dt>range</dt>
<dd>Either "robust" (quantiles) or "data" (min/max) to determine
the default scale limits when `limits` is not provided.</dd>


<dt>probs</dt>
<dd>Two-length numeric vector of quantiles for `range="robust"`.</dd>


<dt>limits</dt>
<dd>Optional numeric limits (min, max). Overrides `range`.</dd>


<dt>na.value</dt>
<dd>Color for NA.</dd>


<dt>guide</dt>
<dd>Legend guide (default "colorbar").</dd>

</dl>

scale_fill_neuro: A ggplot2 fill scale with neuroimaging-friendly defaults

Description

Usage

Value

Arguments