Simulation module dependency diagram

Create a network diagram illustrating the simplified module dependencies of a simulation. Offers a less detailed view of specific objects than does plotting the depsEdgeList directly with objectDiagram().

moduleDiagram(sim, type, showParents = TRUE, ...)

# S4 method for simList,character,logical
moduleDiagram(sim, type = "plot", showParents = TRUE, ...)

# S4 method for simList,ANY,ANY
moduleDiagram(sim, type, showParents = TRUE, ...)

Arguments

sim

A simList object (typically corresponding to a completed simulation).

type

Character string, either "rgl" for igraph::rglplot or "tk" for igraph::tkplot, "Plot" to use quickPlot::Plot or "plot" to use base::plot, the default.

showParents

Logical. If TRUE, then any children that are grouped into parent modules will be grouped together by colored blobs. Internally, this is calling moduleGraph(). Default FALSE.

...

Additional arguments passed to plotting function specified by type.

Value

Plots module dependency diagram.

See also

igraph(), moduleGraph() for a version that accounts for parent and children module structure.

Author

Alex Chubaty

Examples

if (FALSE) {
if (requireNamespace("SpaDES.tools", quietly = TRUE) &&
    requireNamespace("NLMR", quietly = TRUE)) {
library(igraph)
times <- list(start = 0, end = 6, "month")
parameters <- list(
  .globals = list(stackName = "landscape"),
  caribouMovement = list(
    .saveObjects = "caribou",
    .saveInitialTime = 1, .saveInterval = 1
  ),
  randomLandscapes = list(.plotInitialTime = NA, nx = 20, ny = 20))

modules <- list("randomLandscapes", "caribouMovement")
paths <- list(
  modulePath = system.file("sampleModules", package = "SpaDES.core")
)

# Set some options so example runs faster
opts <- options(spades.moduleCodeChecks = FALSE, spades.loadReqdPkgs = FALSE)
sim <- simInit(times = times, params = parameters, modules = modules,
                 paths = paths)
options(opts)
moduleDiagram(sim)
# Can also use default base::plot
modDia <- depsGraph(sim, plot = TRUE)
# See ?plot.igraph
plot(modDia, layout = layout_as_star)

# Or for more control - here, change the label "_INPUT_" to "DATA"
edgeList <- depsEdgeList(sim)
edgeList <- edgeList[, list(from, to)]
edgeList[from == "_INPUT_", from := "Data"]
edgeList[to == "_INPUT_", to := "Data"]
edgeList <- unique(edgeList)
ig <- graph_from_data_frame(edgeList[, list(from, to)])
plot(ig)

}
}