ln.paleoTS: Approximate log-transformation of time-series data

In paleoTS: Analyze Paleontological Time-Series

Approximate log-transformation of time-series data

Description

Approximate log-transformation of time-series data

Usage

ln.paleoTS(y)

Arguments

y	a paleoTS object

Details

For a random variable x, its approximate mean on a natural log scale is the log of its untransformed mean. The approximate variance on a log scale is equal to the squared coefficient of variation.

Value

the converted paleoTS object

Note

This transformation only makes sense for variables with dimension and a true zero point, such as lengths and areas.

References

Hunt, G. 2006. Fitting and comparing models of phyletic evolution: random walks and beyond. Paleobiology 32:578-601.
Lewontin, R. 1966. On the measurement of relative variability. Systematic Zoology 15:141-142.

Examples

x <- sim.Stasis(ns = 10, theta = 20, omega = 1)
plot(x)
xl <- ln.paleoTS(x)
plot(xl)

paleoTS documentation built on Sept. 11, 2024, 9:18 p.m.