print.netobject_group: Print Method for Group Network Object

In Nestimate: Network Estimation, Bootstrap, and Higher-Order Analysis

Print Method for Group Network Object

Description

Compact summary of a netobject_group. Header surfaces the source (a clustering attached by cluster_network or cluster_mmm, or a plain split by group_col). The per-group table carries node and edge counts, weight range, and – when a clustering attribute is present – N and percentage of sequences per cluster (matching the layout used by print.net_clustering and print.net_mmm).

Usage

## S3 method for class 'netobject_group'
print(x, digits = 3L, ...)

Arguments

x	A netobject_group.
digits	Integer. Decimal places for the weight summary. Default 3. Non-breaking: print(x) keeps the same shape as before, with the addition of a weight-range column.
...	Additional arguments (ignored).

Value

The input object, invisibly.

Examples

seqs <- data.frame(V1 = c("A","B","A","B"), V2 = c("B","A","B","A"),
                   grp = c("X","X","Y","Y"))
nets <- build_network(seqs, method = "relative", group = "grp")
print(nets)

seqs <- data.frame(
  V1 = c("A","B","A","C","B","A"),
  V2 = c("B","C","B","A","C","B"),
  V3 = c("C","A","C","B","A","C"),
  grp = c("X","X","X","Y","Y","Y")
)
nets <- build_network(seqs, method = "relative", group = "grp")
print(nets)

Nestimate documentation built on July 11, 2026, 1:09 a.m.