Plot various MI functions

Plot various MI functions

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()