Plot (thresholded) distance matrix as a network

Plot (thresholded) distance matrix as a network

Usage

rn_plot(
  RN,
  plotDimensions = FALSE,
  plotMeasures = FALSE,
  drawGrid = FALSE,
  markEpochsLOI = NULL,
  radiusValue = NA,
  title = "",
  xlabel = "",
  ylabel = "",
  plotSurrogate = NA,
  returnOnlyObject = FALSE
)

Arguments

RN

A distance matrix or recurrence matrix

plotDimensions

Should the state vectors be plotted if they are available as attributes of RM (default = TRUE)

plotMeasures

Print common (C)RQA measures in the plot if the matrix is binary (default = FALSE)

drawGrid

Draw a grid on the recurrence plot (default = FALSE)

markEpochsLOI

Pass a factor whose levels indicate different epochs or phases in the time series and use the line of identity to represent the levels by different colours (default = NULL)

radiusValue

If plotMeasures = TRUE and RM is an unthresholded matrix, this value will be used to calculate recurrence measures. If plotMeasures = TRUE and RM is already a binary recurrence matrix, pass the radius that was used as a threshold to create the matrix for display purposes. If plotMeasures = TRUE and radiusValue = NA, function est_radius() will be called with default settings (find a radius that yields .05 recurrence rate). If plotMeasures = FALSE this setting will be ignored.

title

A title for the plot

xlabel

An x-axis label

ylabel

An y-axis label

plotSurrogate

Should a 2-panel comparison plot based on surrogate time series be added? If RM has attributes y1 and y2 containing the time series data (i.e. it was created by a call to rp), the following options are available: "RS" (random shuffle), "RP" (randomised phases), "AAFT" (amplitude adjusted fourier transform). If no timeseries data is included, the columns will be shuffled. NOTE: This is not a surrogate test, just 1 surrogate is created from y1. (default = FALSE)

returnOnlyObject

Return the ggplot object only, do not draw the plot (default = TRUE)

Value

A nice plot of the recurrence network

See also

Other Distance matrix operations (recurrence network): mat_di2bi(), mat_di2ch(), mat_di2we(), rn(), rn_phases(), rn_recSpec()