summary.group_tna {tna}R Documentation

Calculate Summary of Network Metrics for a grouped Transition Network

Description

This function calculates a variety of network metrics for a tna object. It computes key metrics such as node and edge counts, network density, mean distance, strength measures, degree centrality, and reciprocity.

Usage

## S3 method for class 'group_tna'
summary(object, combined = TRUE, ...)

Arguments

object

A group_tna object.

combined

A logical indicating whether the summary results should be combined into a single data frame for all clusters (defaults to TRUE)

...

Ignored

Details

The function extracts the igraph network for each cluster and computes the following network metrics:

Value

A summary.group_tna object which is a list of lists or a combined data.frame containing the following network metrics:

See Also

Basic functions build_model(), hist.group_tna(), hist.tna(), plot.group_tna(), plot.tna(), plot_frequencies(), plot_frequencies.group_tna(), plot_mosaic(), plot_mosaic.group_tna(), plot_mosaic.tna_data(), print.group_tna(), print.summary.group_tna(), print.summary.tna(), print.tna(), summary.tna(), tna-package

Examples

group <- c(rep("High", 1000), rep("Low", 1000))
model <- group_model(group_regulation, group = group)
summary(model)


[Package tna version 1.0.0 Index]