make_mask: Create a mask based on vertices that are invalid
In templateICAr: Estimate Brain Networks and Connectivity with ICA and Empirical Priors
make_mask R Documentation
Create a mask based on vertices that are invalid
Description
Create a mask based on vertices that are invalid
Usage
make_mask(BOLD, meanTol = -Inf, varTol = 1e-06, verbose = TRUE)
Arguments
BOLD
A V \times T numeric matrix. Each row is a location.
meanTol, varTol
Tolerance for mean and variance of each data location.
Locations which do not meet these thresholds are masked out of the analysis.
Defaults: -Inf for meanTol (ignore), and 1e-6 for
varTol.
verbose
Print messages counting how many locations are removed?
Value
A logical vector indicating valid vertices
templateICAr documentation built on April 3, 2025, 7:41 p.m.
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| make_mask | R Documentation |
Create a mask based on vertices that are invalid
Description
Create a mask based on vertices that are invalid
Usage
make_mask(BOLD, meanTol = -Inf, varTol = 1e-06, verbose = TRUE)
Arguments
BOLD |
A |
meanTol, varTol |
Tolerance for mean and variance of each data location.
Locations which do not meet these thresholds are masked out of the analysis.
Defaults: |
verbose |
Print messages counting how many locations are removed? |
Value
A logical vector indicating valid vertices
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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