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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 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()