View source: R/branchClasses.R
branchClasses | R Documentation |
Partitions the branch lengths of a tree into several classes based on their placement.
branchClasses(tree, whichExtant = NULL, tol = 0.01)
tree |
A dated phylogeny to be analyzed, as an object of class |
whichExtant |
A logical vector with length equal to number of tips in the tree. A TRUE value indicates
that the respective tip taxon (as indicated by the ordering of the tip labels) that is extant
at the modern day, while |
tol |
Tolerance used to distinguish extant taxa,
if |
This function will partition the internode
(node to node, including internal node to terminal tip) branch lengths of a tree into
four separate classes: all
(all the internode branches of a tree), int
(internal branches
which run from one internode to another), live
(terminal branches which run from an internal node to
a terminal tip representing an extinction event before the present) and dead
(terminal branches
which run from an internal node to a terminal tip at the modern day, reflecting a still-living taxon).
The depths of the internal 'mother' node (i.e. time of origin, before the modern day) of each branch length are included as the labels of the branch length vectors.
This function is mainly of use for modeling internode branch lengths in a phylogeny including fossil taxa.
The output is a list consisting of four vectors, with the labels of the vectors being their corresponding time of origin. See details.
#simulated example set.seed(444) record <- simFossilRecord( p = 0.1, q = 0.1, nruns = 1, nTotalTaxa = c(30,40), nExtant = c(10,20) ) taxa <- fossilRecord2fossilTaxa(record) tree <- taxa2phylo(taxa) brlenRes <- branchClasses(tree) #see frequency histograms of branch lengths layout(1:4) for(x in 1:length(brlenRes)){ hist( brlenRes[[x]], main = "Branch Lengths", xlab = names(brlenRes)[x]) } #see frequency histograms of branch depths layout(1:4) for(x in 1:length(brlenRes)){ hist( as.numeric(names(brlenRes[[x]])), main = "Branch Depths", xlab = names(brlenRes)[x]) } layout(1)
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