compGraph: Components Network Graph

In viscomp: Visualize Multi-Component Interventions in Network Meta-Analysis

Components Network Graph

Description

The Components Network Graph is meant to visualize the frequency of components’ combinations found in the network.

Usage

compGraph(
  model,
  sep = "+",
  mostF = 5,
  excl = NULL,
  title = "Most frequent combinations of components",
  print_legend = TRUE,
  size_legend = 0.825
)

Arguments

model	An object of class netmeta.
sep	A single character that defines the separator between interventions components.
mostF	Number of most frequent combinations of the network.
excl	A character vector that specifies the combinations to be excluded from the plot.
title	A single character that specifies the overall title of the plot.
print_legend	logical. If TRUE the legend is printed.
size_legend	size of the legend.

Details

The function resembles a network plot where nodes represent the individual components found in the network and edges represent the combination of components found in at least one treatment arm of the trials included in the network meta-analysis model. Each edge’s color represents one of the unique interventions (components’ combination) found in the network of interventions. Edges’ thickness indicates the frequency by which each intervention (combination of components) was observed in the network (number of arms in which the combination was assigned). The number of the most frequent combinations can be modified from the argument mostF. The function by default plots the five most frequent components' combinations found in the network.

Value

Returns (invisibly) a qgraph object.

Note

The function can be applied only in network meta-analysis models that contain multi-component interventions.

Examples

data(nmaMACE)
compGraph(model = nmaMACE)

viscomp documentation built on Jan. 16, 2023, 5:09 p.m.