tna (version 1.0.0)

plot.group_tna: Plot a Grouped Transition Network Analysis Model

Description

Plots a transition network of each cluster using qgraph.

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

labels

See qgraph::qgraph().

colors

See qgraph::qgraph().

pie

See qgraph::qgraph().

cut

Edge color and width emphasis cutoff value. The default is the median of the edge weights. See qgraph::qgraph() for details.

show_pruned

A logical value indicating if pruned edges removed by prune() should be shown in the plot. The default is TRUE, and the edges are drawn as dashed with a different color to distinguish them.

pruned_edge_color

A character string for the color to use for pruned edges when show_pruned = TRUE. The default is "pink".

edge.color

See qgraph::qgraph().

edge.labels

See qgraph::qgraph().

edge.label.position

See qgraph::qgraph().

layout

One of the following:

• A character string describing a qgraph layout (e.g., "circle") or the name of a igraph layout function (e.g., "layout_on_grid").

• A matrix of node positions to use, with a row for each node and x and y columns for the node positions.

• A layout function from igraph.

layout_args

A list of arguments to pass to the igraph layout function when layout is a function or a character string that specifies a function name.

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 qgraph::qgraph() scaling. Overrides vsize provided via ....

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.

mar

See qgraph::qgraph().

theme

See qgraph::qgraph().

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)