| consensusNet | R Documentation |
networx
object from a collection of splits.Computes a consensusNetwork, i.e. an object of class networx from a
list of trees, i.e. an class of class multiPhylo. Computes a
networx object from a collection of splits.
consensusNet(obj, prob = 0.3, ...)
obj |
An object of class multiPhylo. |
prob |
the proportion a split has to be present in all trees to be represented in the network. |
... |
Further arguments passed to or from other methods. |
consensusNet returns an object of class networx. This is
just an intermediate to plot phylogenetic networks with igraph.
Klaus Schliep klaus.schliep@gmail.com
Holland B.R., Huber K.T., Moulton V., Lockhart P.J. (2004) Using consensus networks to visualize contradictory evidence for species phylogeny. Molecular Biology and Evolution, 21, 1459–61
splitsNetwork, neighborNet,
lento, distanceHadamard,
plot.networx, maxCladeCred
data(Laurasiatherian)
set.seed(1)
bs <- bootstrap.phyDat(Laurasiatherian, FUN = function(x)nj(dist.hamming(x)),
bs=50)
cnet <- consensusNet(bs, .3)
plot(cnet, angle=-60, direction="axial")
## Not run:
library(rgl)
open3d()
plot(cnet, type = "3D", show.tip.label=FALSE, show.nodes=TRUE)
plot(cnet, type = "equal angle", show.edge.label=TRUE)
tmpfile <- normalizePath(system.file(
"extdata/trees/RAxML_bootstrap.woodmouse", package="phangorn"))
trees <- read.tree(tmpfile)
cnet_woodmouse <- consensusNet(trees, .3)
plot(cnet_woodmouse, type = "equal angle", show.edge.label=TRUE)
## End(Not run)
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