| complexity {dyncomp} | R Documentation |
Calculate dynamic complexity of time series
Description
A function to calculate the dynamic complexity of a series of observations, resulting from the degree of fluctuation and the degree of scattering. This measure is calculated in moving windows of a specified width, resulting in a series of values of a length equal to the length of the series of observations.
Usage
complexity(x, scaleMin, scaleMax, width = 7, measure = "complexity", rescale = FALSE)Arguments
x |
The data to be used (representing a series of observations). |
scaleMin |
Theoretical minimum of the data. Will default to the observed minimum of x. |
scaleMax |
Theoretical maximum of the data. Will default to the observed maximum of x. |
width |
Width of the moving window. Default is 7. |
measure |
Either "complexity", "fluctuation" or "distribution". Indicates which value should be returned. Default is "complexity". |
rescale |
If TRUE, rescales the returned values to scale minimum and maximum. This is sometimes useful for graphical interpretation or plotting. Default: FALSE. |
Author(s)
Tim Kaiser <Tim.Kaiser@sbg.ac.at>
References
Kaiser, T. (2017). dyncomp: an R package for Estimating the Complexity of Short Time Series. DOI 10.17605/OSF.IO/GWTKX
Examples
t <- runif(100, 0, 10)
c <- complexity(x = t, scaleMin = 0, scaleMax = 10, width = 5, measure = "complexity",
rescale = TRUE)
plot(t, type = "l")
lines(c, col = "red", lty = 4)