Create a graph with calmr data — calmr_model

patch_graphs() patches graphs with 'patchwork'

Usage

calmr_model_graph(
  x,
  loops = TRUE,
  limits = max(abs(x$value)) * c(-1, 1),
  colour_key = FALSE,
  t = max(x$trial),
  options = get_graph_opts()
)

patch_graphs(graphs, selection = names(graphs))

get_graph_opts(graph_size = "small")

Arguments

x: A data.frame-like with data to use in the plot. Contains a column named value.
loops: Logical. Whether to draw arrows back and forth
limits: Numerical. Limits for color scale. Defaults to max(abs(x$value))*c(-1,1).
colour_key: Logical. Whether to show the color key
t: The trial from which weights are obtained (defaults to the maximum trial in the data).
options: A list with graph options, as returned by get_graph_opts().
graphs: A list of (named) graphs, as returned by graph() or calmr_model_graph()
selection: A character or numeric vector determining the plots to patch.
graph_size: A string (either "small" or "large"). to return default values for small or large graphs
trial: Numerical. The trial to graph.

Value

A 'ggplot' object

patch_graphs() returns a 'patchwork' object

A list with graph options, to be passed to ggnetwork::geom_nodes().

Note

You should probably be getting graphs via the graph method for CalmrExperiment.