simplicial_degree: Simplicial Degree
In Nestimate: Network Estimation, Bootstrap, and Higher-Order Analysis
simplicial_degree R Documentation
Simplicial Degree
Description
Counts how many simplices of each dimension contain each node.
Usage
simplicial_degree(sc, normalized = FALSE)
Arguments
sc
A simplicial_complex object.
normalized
Divide by maximum possible count. Default FALSE.
Value
Data frame with node, columns d0 through
d_k, and total (sum of d1+). Sorted by total descending.
Examples
mat <- matrix(c(0,.6,.5,.6,0,.4,.5,.4,0), 3, 3)
colnames(mat) <- rownames(mat) <- c("A","B","C")
sc <- build_simplicial(mat, threshold = 0.3)
simplicial_degree(sc)
Nestimate documentation built on April 20, 2026, 5:06 p.m.
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| simplicial_degree | R Documentation |
Simplicial Degree
Description
Counts how many simplices of each dimension contain each node.
Usage
simplicial_degree(sc, normalized = FALSE)
Arguments
sc |
A |
normalized |
Divide by maximum possible count. Default |
Value
Data frame with node, columns d0 through
d_k, and total (sum of d1+). Sorted by total descending.
Examples
mat <- matrix(c(0,.6,.5,.6,0,.4,.5,.4,0), 3, 3)
colnames(mat) <- rownames(mat) <- c("A","B","C")
sc <- build_simplicial(mat, threshold = 0.3)
simplicial_degree(sc)
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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