Tables of a q-analysis

Usage

# S3 method for class 'q_analysis'
hg_get(x, what = c("q_levels", "nodes"), ..., top = NULL)

Arguments

x: A q_analysis object from hg_qanalysis().
what: "q_levels" (default) for the number of q-connected components at each level, or "nodes" for each node's highest q-level.
...: Additional arguments (ignored).
top: Integer or NULL. Return only the first top rows, applied after any filter and after sort_by, so sort_by and top compose. Default NULL returns every row.

Value

A data.frame. For what = "q_levels", one row per level: q, components. For what = "nodes", one row per node: node, max_q.

Examples

adj <- matrix(c(0, 1, 1, 0,
                1, 0, 1, 1,
                1, 1, 0, 1,
                0, 1, 1, 0), 4, 4, dimnames = list(letters[1:4], letters[1:4]))
qa <- hg_qanalysis(simplicial(adj, type = "clique"))
hg_get(qa)
#>   q components
#> 1 2          2
#> 2 1          1
#> 3 0          1
hg_get(qa, what = "nodes")
#>   node max_q
#> 1    a     2
#> 2    b     2
#> 3    c     2
#> 4    d     2