EIGENnet: EIGENnet

In paytonjjones/networktools: Tools for Identifying Important Nodes in Networks

EIGENnet

Description

Convenience function for converting a qgraph object to an eigenmodel layout

Usage

EIGENnet(
  qgraph_net,
  EIGENadj = NULL,
  S = 1000,
  burn = 200,
  seed = 1,
  repulse = F,
  repulsion = 1,
  eigenmodelArgs = list(),
  ...
)

Arguments

qgraph_net	an object of type qgraph
EIGENadj	to use a base matrix for the eigenmodel other than the adjacency matrix stored in qgraph_net, provide it in this argument
S	number of samples from the Markov chain
burn	number of initial scans of the Markov chain to be dropped
seed	a random seed
repulse	logical. Add a small repulsion force with wordcloud package to avoid node overlap?
repulsion	scalar for the repulsion force (if repulse=T). Larger values add more repulsion
eigenmodelArgs	additional arguments in list format passed to eigenmodel::eigenmodel_mcmc
...	additional arguments passed to qgraph

Details

An eigenmodel can be interpreted based on coordinate placement of each node. A node in the top right corner scored high on both the first and second latent components

References

Jones, P. J., Mair, P., & McNally, R. J. (2018). Visualizing psychological networks: A tutorial in R. Frontiers in Psychology, 9, 1742. https://doi.org/10.3389/fpsyg.2018.01742

paytonjjones/networktools documentation built on Feb. 28, 2024, 9:25 a.m.