EIGENnet {networktools} | R Documentation |
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 |
EIGENadj |
to use a base matrix for the eigenmodel other than the adjacency matrix
stored in |
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 |
... |
additional arguments passed to |
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