Print Method for Group Network Object

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)
#> Group Networks (2 groups, group_col: grp)
#> 
#>   Group  Nodes  Edges  Weights
#>   X      2      2      [1.000, 1.000]
#>   Y      2      2      [1.000, 1.000]
# \donttest{
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)
#> Group Networks (2 groups, group_col: grp)
#> 
#>   Group  Nodes  Edges  Weights
#>   X      3      3      [1.000, 1.000]
#>   Y      3      3      [1.000, 1.000]
# }