Convenience function for converting a qgraph object to a layout determined by multidimensional scaling
MDSnet(
qgraph_net,
type = c("ordinal", "interval", "ratio", "mspline"),
MDSadj = NULL,
stressTxt = F,
repulse = F,
repulsion = 1,
mdsArgs = list(),
...
)an object of type qgraph
transformation function for MDS, defaults to "ordinal"
to use a proximities matrix other than the adjacency matrix
stored in qgraph_net, provide it in this argument
logical. Print the stress value in the lower left corner of the plot?
logical. Add a small repulsion force with wordcloud package to avoid node overlap?
scalar for the repulsion force. Larger values add more repulsion
additional arguments in list format passed to smacof::mds
additional arguments passed to qgraph
A network plotted with multidimensional scaling can be interpreted based on the distances between nodes. Nodes close together represent closely associated nodes, whereas nodes that are far apart represent unassociated or negatively associated nodes.
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