tna (version 1.3.1)

plot.group_tna: Plot a Grouped Transition Network Analysis Model

Description

Plots a transition network of each cluster using cograph.

Usage

# S3 method for group_tna
plot(x, title, which, ...)

Value

NULL (invisibly).

Arguments

x

A group_model object.

title

A title for each plot. It can be a single string (the same one will be used for all plots) or a list (one per group)

which

An optional integer vector of groups to plot. By default, all groups are plotted.

...

Arguments passed on to plot.tna

node_list

An optional list of two character vectors that define two mutually exclusive groups of node labels.

use_list_order

A logical value. If node_list is provided, defines how the order of the nodes in the plot is defined. A TRUE value uses the order in node_list. Otherwise, the nodes are ranked based on edge weights and ordered according to the rank.

scale_nodes

A character string giving the name of a centrality measure to scale the node size by. See centralities() for valid names. If missing (the default), uses default cograph::splot() scaling. The value of node_size provided via ... is used as baseline size.

scaling_factor

A numeric value specifying how strongly to scale the nodes when scale_nodes is provided. Values between 0 and 1 will result in smaller differences and values larger than 1 will result in greater differences. The default is 0.5.

See Also

Basic functions build_model(), hist.group_tna(), hist.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.group_tna(), summary.tna(), tna-package

Examples

model <- group_model(engagement_mmm)
plot(model, which = 1)