boot_global

A vector of graph densities to loop through

densities

A data.table of the residuals (from <code><a rd-options="" href="/link/get.resid?package=brainGraph&version=1.0.0" data-mini-rdoc="brainGraph::get.resid">get.resid</a></code>)

resids

The number of bootstrap replicates (default: 1e3)

Character string of the measure to test (default: &#39;mod&#39;)

measure

This function performs bootstrapping to get group standard error estimates of
a global graph measure (e.g. modularity). It will output a list containing
the <code><a rd-options="boot" href="/link/boot?package=brainGraph&version=1.0.0&to=boot" data-mini-rdoc="boot::boot">boot</a></code> objects and a <code><a rd-options="" href="/link/data.table?package=brainGraph&version=1.0.0" data-mini-rdoc="brainGraph::data.table">data.table</a></code> with
standard errors and 95% confidence intervals at each density for each group.

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

Christopher G Watson

brainGraph

Graph Theory Analysis of Brain MRI Data

boot_global function

A data.table of the residuals (from <code><a rd-options='' href='get.resid'>get.resid</a></code>)

This function performs bootstrapping to get group standard error estimates of
a global graph measure (e.g. modularity). It will output a list containing
the <code><a rd-options='boot' href='boot'>boot</a></code> objects and a <code><a rd-options='' href='data.table'>data.table</a></code> with
standard errors and 95% confidence intervals at each density for each group.

boot_global: Bootstrapping for global graph measures

Description

Usage

Arguments

Value

Details

See Also

Examples