q_analysis: Q-Analysis
In Nestimate: Network Estimation, Bootstrap, and Higher-Order Analysis
q_analysis R Documentation
Q-Analysis
Description
Computes Q-connectivity structure (Atkin 1974). Two maximal simplices
are q-connected if they share a face of dimension \geq q. Reports:
-
Q-vector: number of connected components at each q-level
-
Structure vector: highest simplex dimension per node
Usage
q_analysis(sc)
Arguments
sc
A simplicial_complex object.
Value
A q_analysis object with $q_vector,
$structure_vector, and $max_q.
References
Atkin, R. H. (1974). Mathematical Structure in Human Affairs.
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)
q_analysis(sc)
Nestimate documentation built on April 20, 2026, 5:06 p.m.
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.
| q_analysis | R Documentation |
Q-Analysis
Description
Computes Q-connectivity structure (Atkin 1974). Two maximal simplices
are q-connected if they share a face of dimension \geq q. Reports:
-
Q-vector: number of connected components at each q-level
-
Structure vector: highest simplex dimension per node
Usage
q_analysis(sc)
Arguments
sc |
A |
Value
A q_analysis object with $q_vector,
$structure_vector, and $max_q.
References
Atkin, R. H. (1974). Mathematical Structure in Human Affairs.
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)
q_analysis(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.
Embedding an R snippet on your website
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.