plotMods: Plot conditional networks at different levels of the...
In modnets: Modeling Moderated Networks

Description Usage Arguments Details Value See Also Examples

An easy wrapper for plotting the same network at different levels of a moderator. Using the mval argument of the fitNetwork function, you can create multiple models—conditional networks—wherein the same model is fit at different values of the moderator.

plotMods(
  nets,
  nodewise = FALSE,
  elsize = 2,
  vsize = NULL,
  elabs = TRUE,
  predict = NULL,
  layout = NULL,
  which.net = "temporal",
  ...
)

`nets`	List of network models fit with `fitNetwork`, where `mval` has been specified.
`nodewise`	See corresponding argument in `plotNet`.
`elsize`	Numeric value to indicate the size of the edge labels.
`vsize`	Numeric value to indicate the size of the nodes. If `NULL`, then a default value will be determined based on the number of nodes in the network.
`elabs`	If `TRUE`, then edges will be labeled with their numeric values.
`predict`	See corresponding argument in `plotNet`.
`layout`	Can be a character string, corresponding to the options in `qgraph::qgraph`, or can be a matrix that defines the layout (e.g., based on the `qgraph::averageLayout` function). Recommended to leave as `NULL`, so that the layout will be based on the list of networks provided.
`which.net`	See corresponding argument in `plotNet`.
`...`	Additional arguments.

Importantly, this function will fix a common layout across all conditional networks so that the network can be easily compared (visually) at different levels of the moderator.

Returns a plot where multiple conditional networks are plotted side by side.

fitNetwork

data <- na.omit(psychTools::msq[, c('hostile', 'lonely', 'nervous', 'sleepy', 'depressed')])

fit0 <- fitNetwork(data, moderators = 'depressed', mval = 0)
fit1 <- fitNetwork(data, moderators = 'depressed', mval = 1)
fit2 <- fitNetwork(data, moderators = 'depressed', mval = 2)

fits <- list(fit0, fit1, fit2)
plotMods(fits)