plotMods function

Plot conditional networks at different levels of the moderator

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",
  ...
)

Arguments

• 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.

Returns

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

Details

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.

Examples

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)

See Also

fitNetwork