fd.sda: Standardised Dispersion Analysis (SDA).

In FredHasselman/nlRtsa: nonlineaR time seRies analysis.

Description

fd.sda

Usage

## S3 method for class 'sda'
fd(y, fs = NULL, normalize = TRUE, dtrend = FALSE,
  scales = dispersion(y)$scale, fitRange = c(scales[1],
  scales[length(scales) - 2]), plot = FALSE)

Arguments

y	A numeric vector or time series object.
normalize	Normalize the series (default).
plot	Return the log-log spectrum with linear fit (default).

Value

A list object containing:

• A data matrix PLAW with columns freq.norm, size and bulk.

• Estimate of scaling exponent sap based on a fit over the standard range (fullRange), or on a user defined range fitRange.

• Estimate of the the Fractal Dimension (FD) using conversion formula's reported in Hasselman(2013).

• Information output by various functions.

Author(s)

Fred Hasselman

References

Hasselman, F. (2013). When the blind curve is finite: dimension estimation and model inference based on empirical waveforms. Frontiers in Physiology, 4, 75. http://doi.org/10.3389/fphys.2013.00075

See Also

Other FD estimators: fd.dfa, fd.psd

FredHasselman/nlRtsa documentation built on May 6, 2019, 5:07 p.m.