Plots a transition network of each cluster using qgraph
.
Usage
# S3 method for class 'group_tna'
plot(x, title, which, ...)
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 byprune()
should be shown in the plot. The default isTRUE
, 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 whenshow_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 aqgraph
layout (e.g.,"circle"
) or the name of aigraph
layout function (e.g.,"layout_on_grid"
).A
matrix
of node positions to use, with a row for each node andx
andy
columns for the node positions.A layout function from
igraph
.
layout_args
A
list
of arguments to pass to theigraph
layout function whenlayout
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. Seecentralities()
for valid names. If missing (the default), uses defaultqgraph::qgraph()
scaling. Overridesvsize
provided via...
.scaling_factor
A
numeric
value specifying how strongly to scale the nodes whenscale_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 is0.5
.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)