one-row-per-network summary of a netify object (broom style)

glance.netify is an s3 method for the glance() generic from the broom package. it returns the graph-level statistics produced by summary.netify() – one row per network / time period / layer – so the netify object plays nicely with broom-style workflows. (broom is not a hard dependency; this method is registered as an s3 method on glance and only triggers when the generic is available.)

Usage

glance.netify(x, ...)

Arguments

x

a netify object.

...

additional arguments passed to summary.netify() (e.g., other_stats = list(my_stat = my_fn)).

Value

a tibble (or data.frame if tibble isn't installed): one row per (network, time, layer) combination with density, reciprocity, mutual, transitivity, edge counts, etc.

See also

summary.netify() for the underlying summary, and tidy.netify for one-row-per-edge output.

Author

cassy dorff, shahryar minhas

Examples

data(icews)
icews_10 <- icews[icews$year == 2010, ]
net <- netify(icews_10, actor1 = "i", actor2 = "j",
symmetric = FALSE, weight = "verbCoop")
glance.netify(net)
#> # A tibble: 1 × 18
#>   net   num_actors density num_edges prop_edges_missing mean_edge_weight
#>   <chr>      <dbl>   <dbl>     <dbl>              <dbl>            <dbl>
#> 1 1            152   0.435      9976                  0             41.7
#> # ℹ 12 more variables: sd_edge_weight <dbl>, median_edge_weight <dbl>,
#> #   min_edge_weight <dbl>, max_edge_weight <dbl>, competition_row <dbl>,
#> #   competition_col <dbl>, sd_of_row_means <dbl>, sd_of_col_means <dbl>,
#> #   covar_of_row_col_means <dbl>, reciprocity <dbl>, mutual <dbl>,
#> #   transitivity <dbl>