make_auc_brainGraph

Given a list of <code>brainGraphList</code> objects, this function will calculate
the area under the curve (AUC) across all thresholds/densities for each
subject or group.

A set of tools for performing graph theory analysis of brain MRI
data. It works with data from a Freesurfer analysis (cortical thickness,
volumes, local gyrification index, surface area), diffusion tensor
tractography data (e.g., from FSL) and resting-state fMRI data (e.g., from
DPABI). It contains a graphical user interface for graph visualization and
data exploration, along with several functions for generating useful
figures.

Christopher G Watson

brainGraph

Graph Theory Analysis of Brain MRI Data

Christopher G. Watson

make_auc_brainGraph function

<dl><dt>g.list</dt>
<dd>A list of <code>brainGraphList</code> objects</dd>
<dt>g.attr</dt>
<dd>A character vector of graph attribute name(s). Default:
<code>NULL</code></dd>
<dt>v.attr</dt>
<dd>A character vector of vertex attribute name(s). Default:
<code>NULL</code></dd>
<dt>norm</dt>
<dd>Logical indicating whether to normalize threshold values to be
between 0 and 1 (inclusive). Default: <code>FALSE</code></dd></dl>

Arguments

Calculate the AUC across densities of given attributes — make_auc_brainGraph

<dl>

<dt>g.list</dt>
<dd>A list of <code>brainGraphList</code> objects</dd>


<dt>g.attr</dt>
<dd>A character vector of graph attribute name(s). Default:
<code>NULL</code></dd>


<dt>v.attr</dt>
<dd>A character vector of vertex attribute name(s). Default:
<code>NULL</code></dd>


<dt>norm</dt>
<dd>Logical indicating whether to normalize threshold values to be
between 0 and 1 (inclusive). Default: <code>FALSE</code></dd>

</dl>

make_auc_brainGraph: Calculate the AUC across densities of given attributes

Description

Usage

Value

Arguments

Details

Examples