paleotree-package | R Documentation |
Analyzes, time-scales and simulates phylogenies of extinct/fossil lineages, along with calculation of diversity curves. Also fits likelihood models to estimate sampling rates from stratigraphic ranges.
Package: | paleotree |
Type: | Package |
License: | CC0 |
This package contains functions for analyzing sampling rates given ranges of fossil taxa, in both continuous and discrete time, functions for a posteriori time-scaling phylogenies of fossil taxa and functions for simulating the fossil record in both taxic and phylogenetic varieties.
David W. Bapst
Maintainer: David W. Bapst <dwbapst@gmail.com>
Bapst, D.W. 2012. paleotree: an R package for paleontological and phylogenetic analyses of evolution. Methods in Ecology and Evolution. 3: 803-807. doi: 10.1111/j.2041-210X.2012.00223.x
Bapst, D. W. 2013. A stochastic rate-calibrated method for time-scaling phylogenies of fossil taxa. Methods in Ecology and Evolution. 4(8):724-733.
Bapst, D. W. 2013. When Can Clades Be Potentially Resolved with Morphology? PLoS ONE. 8(4):e62312.
Bapst, D. W. 2014. Assessing the effect of time-scaling methods on phylogeny-based analyses in the fossil record. Paleobiology 40(3):331-351.
This package relies extensively on the phylogenetic toolkit and
standards offered by the ape
package, and hence
lists this package as a depends, so it is loaded simultaneously.
# get the package version of paleotree packageVersion("paleotree") # get the citation for paleotree citation("paleotree") ## Simulate some fossil ranges with simFossilRecord set.seed(444); record <- simFossilRecord( p = 0.1, q = 0.1, nruns = 1, nTotalTaxa = c(30,40), nExtant = 0 ) taxa <- fossilRecord2fossilTaxa(record) # let's see what the 'true' diversity curve looks like in this case # plot the FADs and LADs with taxicDivCont() taxicDivCont(taxa) # simulate a fossil record with imperfect sampling with sampleRanges rangesCont <- sampleRanges(taxa,r = 0.5) # plot the diversity curve based on the sampled ranges layout(1:2) taxicDivCont(rangesCont) # Now let's use binTimeData to bin in intervals of 10 time units rangesDisc <- binTimeData(rangesCont,int.length = 10) # plot with taxicDivDisc taxicDivDisc(rangesDisc) #compare to the continuous time diversity curve above! layout(1) # taxa2phylo assumes we know speciation events perfectly... what if we don't? # first, let's use taxa2cladogram to get the 'ideal' cladogram of the taxa cladogram <- taxa2cladogram(taxa,plot = TRUE) # Now let's try timePaleoPhy using the continuous range data ttree <- timePaleoPhy(cladogram,rangesCont,type = "basic",plot = TRUE) # plot diversity curve phyloDiv(ttree,drop.ZLB = TRUE) # that tree lacked the terminal parts of ranges (tips stops at the taxon FADs) # let's add those terminal ranges back on with add.term ttree <- timePaleoPhy( cladogram, rangesCont, type = "basic", add.term = TRUE, plot = TRUE ) # plot diversity curve phyloDiv(ttree)
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