symmetrize_mats

symmetrize_array

Character string; how to create symmetric off-diagonal
elements (default: <code>max</code>)

symm.by

Arguments passed to <code><a rd-options="" href="/link/symmetrize_mats?package=brainGraph&version=2.7.3" data-mini-rdoc="brainGraph::symmetrize_mats">symmetrize_mats</a></code>

<code>symmetrize_mats</code> will symmetrize a numeric matrix by assigning the
off-diagonal elements values of either the <code>max</code>, <code>min</code>, or
<code>average</code> of \(\{A(i, j), A(j, i)\}\). The default is <code>max</code>
because that is the default for
<code><a rd-options="igraph" href="/link/graph_from_adjacency_matrix?package=brainGraph&version=2.7.3&to=igraph" data-mini-rdoc="igraph::graph_from_adjacency_matrix">graph_from_adjacency_matrix</a></code>.<code>symmetrize_array</code> is a convenience function which applies
<code><a rd-options="" href="/link/symmetrize_mats?package=brainGraph&version=2.7.3" data-mini-rdoc="brainGraph::symmetrize_mats">symmetrize_mats</a></code> along the 3rd dimension of an array.

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

symmetrize_mats function

Arguments passed to <code><a rd-options='' href='symmetrize_mats'>symmetrize_mats</a></code>

symmetrize_mats: Create a symmetric matrix

Description

Usage

Arguments

Value

See Also