PCAnet: PCAnet

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

PCAnet

Description

Convenience function for converting a qgraph object to a layout determined by principal components analysis

Usage

PCAnet(
  qgraph_net,
  cormat,
  varTxt = F,
  repulse = F,
  repulsion = 1,
  principalArgs = list(),
  ...
)

Arguments

qgraph_net	an object of type qgraph
cormat	the correlation matrix of the relevant data. If this argument is missing, the function will assume that the adjacency matrix from qgraph_net is a correlation matrix
varTxt	logical. Print the variance accounted for by the PCA in the lower left corner of the plot
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
principalArgs	additional arguments in list format passed to psych::principal
...	additional arguments passed to qgraph

Details

A network plotted with PCA 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 principal 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.