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Create Interactive Network Visualisation

Source: R/mc_network.R
mc_network.Rd

[Experimental]

Generates an interactive network visualisation using visNetwork library. The visualisation includes interactive features for exploring model structure and relationships.

By default, nodes are colored as:

  • inputs (light blue, #B0DFF9): Input datasets, data frames, files, and columns

  • in_node (blue, #6ABDEB): Input nodes and scalar values

  • out_node (green, #A4CF96): Output nodes

  • filter (light purple, #E8A5E5): Filtered nodes created with mc_filter()

  • compare (medium purple, #D88FD5): Comparison nodes created with mc_compare()

  • trials_info (light orange, #FAE4CB): Trial, subset, and related information nodes

  • total (orange, #F39200): Total nodes created with at_least_one()

  • agg_total (dark orange, #C17816): Aggregated total nodes created with agg_totals()

Usage

mc_network(
  mcmodule,
  variate = 1,
  color_pal = NULL,
  color_by = NULL,
  legend = FALSE,
  inputs = FALSE
)

Arguments

mcmodule

(mcmodule object). Module containing network to visualise.

variate

(integer). Which variate to visualise. Default: 1.

color_pal

(character vector, optional). Custom colour palette for nodes. Default: NULL.

color_by

(character, optional). Column name to determine node colours. Default: NULL.

legend

(logical). If TRUE, show colours legend. Default: FALSE.

inputs

(logical). If TRUE, show non-node inputs. Default: FALSE.

Value

An interactive visNetwork object with highlighting of connected nodes, node selection and filtering by module, directional arrows, hierarchical layout, and draggable nodes.

Examples

# \donttest{
network <- mc_network(mcmodule=imports_mcmodule)
# }