MDSnet
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(), ...)qgraph_net |
an object of type |
type |
transformation function for MDS, defaults to "ordinal" |
MDSadj |
to use a proximities matrix other than the adjacency matrix
stored in |
stressTxt |
logical. Print the stress value 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. Larger values add more repulsion |
mdsArgs |
additional arguments in list format passed to |
... |
additional arguments passed to |
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
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