plotRED_mif: Plot various MI functions

In FredHasselman/casnet: A Toolbox for Studying Complex Adaptive Systems and Networks

Plot various MI functions

Description

Plot various MI functions

Usage

plotRED_mif(
  mif.OUT = NULL,
  lags = attr(mif.OUT, "lags"),
  nbins = attr(mif.OUT, "nbins"),
  surTest = FALSE,
  alpha = 0.05,
  doPlot = TRUE,
  returnMIFun = TRUE
)

Arguments

mif.OUT	Output from function mif()
lags	The lags to evaluate mutual information.
nbins	The number of bins passed to infotheo::discretize() if y is a matrix or ts_discrete()
surTest	If TRUE, a surrogate will be conducted using simple surrogates. The surrogates will be created from the transition probabilities of the discretised time series, i.e. the probability of observing bin j when the current value is in bin j. The number of surrogates needed will be computed based on the value of the alpha parameter, conceived as a one-sided test: mi > 0.
alpha	The alpha level for the surrogate test (default = 0.05)
doPlot	Produce a plot of the symbolic time series by calling plotRED_mif() (default = FALSE)
returnMIFun	Return the data

Value

Either an invisible ggplot2 object r a list containing the plot and the data

See Also

Other Plot redundancy functions: plotRED_acf()

FredHasselman/casnet documentation built on April 20, 2024, 3:05 p.m.