Approximate log-transformation of time-series data
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.
This transformation only makes sense for variables with dimension and a true zero point, such as lengths and areas.
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.
x <- sim.Stasis(ns = 10, theta = 20, omega = 1) plot(x) xl <- ln.paleoTS(x) plot(xl)
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