PCAnet
Convenience function for converting a qgraph object to a layout determined by principal components analysis
PCAnet(qgraph_net, cormat, varTxt = F, repulse = F, repulsion = 1, principalArgs = list(), ...)
qgraph_net |
an object of type |
cormat |
the correlation matrix of the relevant data. If this argument is missing,
the function will assume that the adjacency matrix from |
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 |
... |
additional arguments passed to |
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
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
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