Multiscale Entropy Curve — plot

Sample entropy from multiscale.entropy against the coarse-graining scale, with the complexity index (area) shaded and the across-scale slope drawn. A curve that holds its entropy across scales marks a complex signal; one that falls is closer to noise. Returns a ggplot object and never errors.

Usage

plot_mse(counts, scales = 1:20, m = 2L, r = 0.15)

Arguments

counts: Numeric activity vector.
scales: Integer coarse-graining scales (default 1:20).
m: Embedding dimension for sample entropy (default 2).
r: Tolerance as a fraction of the series SD (default 0.15).

Value

A ggplot object.

References

Costa M, Goldberger AL, Peng C (2002). “Multiscale entropy analysis of complex physiologic time series.” Physical Review Letters, 89(6), 068102. doi:10.1103/PhysRevLett.89.068102 .

Examples

# \donttest{
set.seed(1)
plot_mse(rnorm(3000))

# }