The object returned by psychnet() when group is supplied: a named list of
psychnet networks, one per level of the grouping variable. It plots as a
grid with cograph::splot() and is consumed per level by the framework verbs
(net_centralities(), net_predict(), net_boot(), net_stability(),
net_compare()), each returning a *_group result.
Data-based resampling and comparison require independent cross-sectional
rows. Groups built from several occasions per actor need resampling at the
actor level and are refused by these row-based diagnostics.
Usage
# S3 method for class 'psychnet_group'
print(x, ...)
# S3 method for class 'psychnet_group'
as.data.frame(x, row.names = NULL, optional = FALSE, ...)
# S3 method for class 'psychnet_group'
summary(object, ...)