binarize: Binarize Network
In AlexChristensen/NetworkToolbox: Methods and Measures for Brain, Cognitive, and Psychometric Network Analysis
binarize R Documentation
Binarize Network
Description
Converts weighted adjacency matrix to a binarized adjacency matrix
Usage
binarize(A)
Arguments
A
An adjacency matrix of network data (or an array of matrices)
Value
Returns an adjacency matrix of 1's and 0's
Author(s)
Alexander Christensen <alexpaulchristensen@gmail.com>
Examples
# Pearson's correlation only for CRAN checks
A <- TMFG(neoOpen, normal = FALSE)$A
neoB <- binarize(A)
AlexChristensen/NetworkToolbox documentation built on March 6, 2023, 5:08 p.m.
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| binarize | R Documentation |
Binarize Network
Description
Converts weighted adjacency matrix to a binarized adjacency matrix
Usage
binarize(A)
Arguments
A |
An adjacency matrix of network data (or an array of matrices) |
Value
Returns an adjacency matrix of 1's and 0's
Author(s)
Alexander Christensen <alexpaulchristensen@gmail.com>
Examples
# Pearson's correlation only for CRAN checks A <- TMFG(neoOpen, normal = FALSE)$A neoB <- binarize(A)
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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