compare_nets: Plots Networks for Comparison

In SemNeT: Methods and Measures for Semantic Network Analysis

Plots Networks for Comparison

Description

Uses qgraph to plot networks. Accepts any number of networks and will organize the plots in the number of side-by-side columns using the heuristic of taking the square root of the number of input and rounding down to the nearest integer (i.e., floor(sqrt(length(input)))).

Examples

• 3 networks: 1 x 3

• 6 networks: 2 x 3

• 9 networks: 3 x 3

Usage

compare_nets(
  ...,
  title,
  config,
  placement = c("match", "default"),
  weighted = FALSE,
  qgraph.args = list()
)

Arguments

...	Matrices or data frames of network adjacency matrices
title	List. Characters denoting titles of plots
config	Character. Defaults to "spring" See qgraph for more options
placement	Character. How should nodes be placed when comparing groups? Defaults to "default" "match" places nodes in the same position for all networks "default" places nodes in the default config positions
weighted	Boolean. Should networks be plotted with weights? Defaults to FALSE. Set to TRUE to plot networks with weights corresponding to association strength. Often, unweighted networks are more aesthetically representational of the networks
qgraph.args	List. An argument list to be passed onto qgraph. See qgraph for possible arguments

Value

Plots networks using qgraph

Author(s)

Alexander Christensen <[e-mail]>

References

Epskamp, S., Cramer, A. O. J., Waldorp, L. J., Schmittmann, V. D., & Borsboom, D. (2012). qgraph: Network visualizations of relationships in psychometric data. Journal of Statistical Software, 48, 1-18.

Jones, P. J. (2019). networktools: Tools for Identifying Important Nodes in Networks. R package version 1.2.1.

Jones, P. J., Mair, P., & McNally, R. (2018). Visualizing psychological networks: A tutorial in R. Frontiers in Psychology, 9, 1742.

Examples

# Simulate Datasets
one <- sim.fluency(10)
two <- sim.fluency(10)

# Compute similarity matrix
cos1 <- similarity(one, method = "cosine")
cos2 <- similarity(two, method = "cosine")

# Compute networks
net1 <- TMFG(cos1)
net2 <- TMFG(cos2)

# Compare networks
compare_nets(net1, net2, title = list("One", "Two"), config = "spring")

# Change edge colors
compare_nets(net1, net2, title = list("One", "Two"),
config = "spring", qgraph.args = list(edge.color = "blue"))

SemNeT documentation built on Aug. 12, 2023, 5:06 p.m.