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Plot windowed Multiplex Recurrence Network measures

Source: R/plotFUN.R
plotMRN_win.Rd

Plot windowed Multiplex Recurrence Network measures

Usage

plotMRN_win(
  df_mrn,
  layerMeasures = c("InterLayerMI", "InterLayerCor", "EdgeOverlap", "JRP")[1],
  vertexMeasures = c("none", "degree", "strength", "transitivity", "closeness",
    "betweenness")[1],
  weighted = FALSE,
  directed = FALSE,
  cumulative = FALSE,
  plotSD = FALSE,
  doPlot = TRUE
)

Arguments

df_mrn

Output from function mrn() with arguments set for a windowed analysis.

layerMeasures

Character vector indicating which layer similarity measure(s) should be plotted. Valid elements in the vector are: "InterLayerMI", "InterLayerCor", "EdgeOverlap", "JRP".

vertexMeasures

Character vector indicating which vertex measure(s) should be plotted. Valid elements in the vector are: "none", "degree","strength","transitivity" (= clustering),"closeness","betweenness". See the igraph::igraph The calculations depend on the value of MRNweightedBy that was used with function mrn().

weighted

If vertexMeasures is not equal to "none", should the graph be considered weighted? (default = FALSE)

directed

If vertexMeasures is not equal to "none", should the graph be considered directed? (default = FALSE)

cumulative

If vertexMeasures is not equal to "none", should the graph be considered cumulative? This will set the mode to "upper" (default = FALSE)

plotSD

If TRUE, a ribbon with range mean ± SD will be plotted (default = FALSE)

doPlot

Plot the igraph object. If FALSE, a just the graph object will be returned invisible.

Value

a ggplot object

See also

Other Tools for windowed analyses: ts_windower()