Hi Lilian,
My understanding is that Jetz and Pyron 2018 use the fair proportion metric
('evolutionary distinctness'), which they they assert is closely inversely
related to the equal splits metric (but not calculated in that way).
Jetz et al 2012 use the species-level lineage diversification rate, which
is actually calculated by taking the inverse of the equal splits metric.
Hope that clears things up,
Will
On Sat, Apr 14, 2018 at 8:24 AM, Lilian Sayuri Ouchi de Melo <
sayuriou...@gmail.com> wrote:
> Dear all,
>
> I am trying to compute the diversification rates as Jetz et al. 2012 (
> https://www.nature.com/articles/nature11631), where the authors have said
> that the formula is the inverse of the equal splits distinctiveness value
> of Redding and Moors 2006 (
> https://onlinelibrary.wiley.com/doi/full/10.1111/j.1523-1739.2006.00555.x
> ).
> But, in another paper, Pyron & Jetz 2018 (
> https://www.nature.com/articles/s41559-018-0515-5) said “is closely
> inversely related to the equal splits metric”. Looking in both formulas
> they seem to be the “same” but only the inverse of equal splits, as Jetz et
> al. said in 2012.
>
> I would like to know if some of you have already calculated this
> diversification rate and if it is in fact just the inverse, or it is a kind
> of "closely" related formula. I wrote a small example of what I’ve done,
> and would like to ask if you think that this is the right way to do that.
>
>
> library(phytools)
>
> tr <- rtree(20)
>
> plot(tr)
>
> tr <- compute.brlen(tr)
>
> plot(tr)
>
> tr$edge.length
>
> tr$edge
>
> plot(tr, show.tip.label = TRUE, show.node.label = TRUE)
>
>
>
> ES = evol.distinct(tr, type = "equal.splits")$w
>
> DR = evol.distinct(tr, type = "equal.splits")$w^-1
>
>
> Thank you in advance,
>
>
> --
> Lilian Sayuri Ouchi de Melo
> (PhD Student in Animal Biology at UNESP/IBILCE)
>
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>
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--
William Gearty
PhD Candidate, Paleobiology
Department of Geological Sciences
Stanford School of Earth, Energy & Environmental Sciences
williamgearty.com
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