plot.chaos01.rqa.sequence {Chaos01}

Plot the results for the sequence of eps values.

Description

This function plot the selected variables of RQA as a sequence for the different values of epsilon.

Usage

## S3 method for class 'chaos01.rqa.sequence'
plot(x, plotvar = c("RR", "DET"),
  type = NULL, ...)

Arguments

x

the object of "rqa.sequence" class, produced by rqa.seq function.

plotvar

vector/list of strings of variables which should be plotted.

• "TR" - Total number of recurrence points

• "DLRP" - Recurrence points on the diagonal lines of length of length >= lmin

• "DLC" - Count of diagonal lines of length of length >= lmin

• "VLRP" - Recurrence points on the vertical lines of length of length >= lmin

• "VLC" - Count of vertical lines of length of length >= lmin

• "RR" - Recurrence rate

• "DET" - Determinism, count recurrence points in diagonal lines of length >= lmin

• "RATIO" - DET/RR

• "AVG" - average length of diagonal lines of length >= lmin

• "MAX" - maximal length of diagonal lines of length >= lmin

• "LAM" - Laminarity, VLRP/TR

• "TT" - Trapping time, average length of vertical lines of length >= lmin

• "MAX_V" - maximal length of vertical lines of length >= lmin

• "DIV" - Divergence, 1/MAX

Default = c("RR", DET").

type

string what type of plot should be drawn: seeplot

...

arguments to be passed as graphical parameters.

References

N. Marwan; M. C. Romano; M. Thiel; J. Kurths (2007). "Recurrence Plots for the Analysis of Complex Systems". Physics Reports. 438 (5-6): 237. Bibcode:2007PhR...438..237M. doi:10.1016/j.physrep.2006.11.001.

See Also

rqa.seq, fast.rqa

Examples

vec.x <- gen.logistic(mu = 3.55, iter = 2000)

x.range <- diff(range(vec.x))

from = 0.01 * x.range
by   = 0.1 * x.range

# Output for each value of c
res <- rqa.seq(vec.x, from = from, to = x.range, by = by, TS = vec.x, dim = 3, lag = 10)

plotvar <- c("RR", "DET", "RATIO", "LAM")

par(mfrow = c(2,2))
plot(res, plotvar = plotvar)