Summary Method for net_gimme
Usage
# S3 method for class 'net_gimme'
summary(object, ...)Value
A tidy data.frame of per-network metrics (one row per network:
temporal, contemporaneous), with n_edges/density/etc. computed from
the proportion-of-subjects networks. Per-subject fit indices are in
object$fit; coefs(object) gives the per-person estimates,
edges(object) the tidy edge list, and nodes(object) node strengths.
Examples
# \donttest{
set.seed(1)
panel <- data.frame(
id = rep(1:5, each = 20),
t = rep(seq_len(20), 5),
A = rnorm(100), B = rnorm(100), C = rnorm(100)
)
gm <- fit_gimme(panel, vars = c("A","B","C"), id = "id", time = "t")
summary(gm)
#> network n_nodes n_edges density mean_abs_weight n_positive
#> 1 temporal 3 3 0.5000000 0.2 3
#> 2 contemporaneous 3 2 0.3333333 0.2 2
#> n_negative
#> 1 0
#> 2 0
# }