SamplingConv | R Documentation |
Various functions for converting between estimates of sampling in the fossil record.
sProb2sRate(R, int.length = 1) sRate2sProb(r, int.length = 1) pqsRate2sProb(r, p, q, int.length = 1) qsProb2Comp(R, q, p = NULL, mode = "budding", nrep = 10000) qsRate2Comp(r, q)
R |
Per-interval probability of sampling a taxon at least once. |
int.length |
Length of Time Intervals |
r |
Instantaneous rate of sampling (per taxon, per time-unit). |
p |
Instantaneous rate of speciation (lambda). If the underlying model assumed is
anagenetic (e.g. taxonomic change within a single lineage, 'phyletic evolution')
with no branching of lineages, then |
q |
Instantaneous rate of extinction (mu) |
mode |
Mode of morphotaxon differentiation, based on definitions in Foote, 1996. Can be
pure cladogenetic budding ( |
nrep |
Number of repetitions to run in functions which are meant to sum over infinity. Default is arbitrarily high. |
This is a family of functions which all convert from some estimate of sampling to another estimate of sampling. Some of these also require estimates of an rate associated with taxonomic diversification, such as the speciation (or origination) rate or extinction rate. Diversification rates used in these functions should always be the instantaneous rates, often called the per-capita rates by paleontologists (Foote, 2000).
As with many models used in the paleotree
library, it is generally assumed
by these functions that the fossil record of interest is composed of
discrete relatively-static taxonomic units which diversify
typically by budding cladogenesis, and that
sampling events are rare and approximated by a Poisson model of
exponentially-distributed waiting times between sampling events. The
veracity of those assumptions is difficult to test and the sensitivity of
these analyses to relaxing those assumptions probably varies.
sProb2sRate
and sRate2sProb
give rough conversions for the probability of
sampling once per time interval
(the variable R
or sProb
in this package as used in the
references below) and the instantaneous rate of sampling per lineage/time
unit (sRate
or r
). If you have estimates of the speciation and extinction
rate, use pqsRate2sProb
instead for a more accurate estimate of R.
qsProb2Comp
and qsRate2Comp
are different calculations for the
probability/proportion of taxa sampled in a clade (often labeled as the variable Pp
).
Theoretically, one could use it to extrapolate out the 'true' diversity, assuming the sampling rate
model was correct. (See Foote and Raup, 1996.)
See the references below for a more detailed explanation of the methods and formulae used. The relevant equations are generally found in the appendices of those papers.
The converted sampling estimate, depending on the function used. See details above.
David W. Bapst, with advice from Michael Foote.
Foote, M. 1996 On the Probability of Ancestors in the Fossil Record. Paleobiology 22(2):141–151.
Foote, M. 1997 Estimating Taxonomic Durations and Preservation Probability. Paleobiology 23(3):278–300.
Foote, M. 2000 Origination and extinction components of taxonomic diversity: general problems. Pp. 74–102. In D. H. Erwin, and S. L. Wing, eds. Deep Time: Paleobiology's Perspective. The Paleontological Society, Lawrence, Kansas.
Foote, M., and D. M. Raup. 1996 Fossil preservation and the stratigraphic ranges of taxa. Paleobiology 22(2):121–140.
Solow, A. R., and W. Smith. 1997 On Fossil Preservation and the Stratigraphic Ranges of Taxa. Paleobiology 23(3):271–277.
sampleRanges
, make_durationFreqDisc
, make_durationFreqCont
,
probAnc
, pqr2Ps
.
sRate2sProb(r = 0.5) sProb2sRate(R = 0.1) pqsRate2sProb(r = 0.5,p = 0.1,q = 0.1) # different modes can be tried qsProb2Comp(R = 0.1,q = 0.1,mode = "budding") qsProb2Comp(R = 0.1,q = 0.1,mode = "bifurcating") qsRate2Comp(r = 0.1,q = 0.1)
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