chaoticInvariant {fractal} | R Documentation

## Class for chaotic invariant objects

### Description

Class constructor for `chaoticInvariant`.

### S3 METHODS

eda.plot
  plots an extended data analysis plot, which graphically summarizes the process of obtaining a correlation dimension estimate. A time history, phase plane embeddding, correlation summation curves, and the slopes of correlation summation curves as a function of scale are plotted.
plot
  plots the correlation summation curves on a log-log scale. The following options may be used to adjust the plot components:
  type
    Character string denoting the type of data to be plotted. The `"stat"` option plots the correlation summation curves while the `"dstat"` option plots a 3-point estimate of the derivatives of the correlation summation curves. The `"slope"` option plots the estimated slope of the correlation summation curves as a function of embedding dimension. Default: `"stat"`.
  fit
    Logical flag. If `TRUE`, a regression line is overlaid for each curve. Default: `TRUE`.
  grid
    Logical flag. If `TRUE`, a grid is overlaid on the plot. Default: `TRUE`.
  legend
    Logical flag. If `TRUE`, a legend of the estimated slopes as a function of embedding dimension is displayed. Default: `TRUE`.
  ...
    Additional plot arguments (set internally by the `par` function).
print
  prints a qualitiative summary of the results.

### See Also

`infoDim`, `corrDim`, `lyapunov`.

### Examples

    ## create a faux object of class chaoticInvariant
    faux.data <- list(matrix(rnorm(1024), ncol=2), matrix(1:512))
    chaoticInvariant(faux.data,
        dimension   = 1:2,
        n.embed     = 10,
        n.reference = 50,
        n.neighbor  = 35,
        tlag        = 10,
        olag        = 15,
        resolution  = 2,
        series.name = "my series",
        series      = 1:10,
        ylab        = "log2(C2)",
        xlab        = "log2(scale)",
        metric      = Inf,
        invariant   = "correlation dimension")

[Package fractal version 1.0-1 Index]