ape (version 1.8-4)

rtree: Generates Random Trees

Description

These functions generate trees by splitting randomly the edges (rtree) or randomly clustering the tips (rcoal). rtree generates general (non-ultrametric) trees, and rcoal generates coalescent (ultrametric) trees.

Usage

rtree(n, rooted = TRUE, tip.label = NULL, br = runif, ...)
rcoal(n, tip.label = NULL, br = rexp, ...)

Details

The trees generated are bifurcating. If rooted = FALSE in (rtree), the tree is trifurcating at its `root'.

The default function to generate branch lengths in rtree is runif. In rcoal rexp is used to generate the inter-node distances. If further arguments are passed to br, they need to be tagged (e.g., min = 0, max = 10).

Examples

layout(matrix(1:9, 3, 3))
### Nine random trees:
for (i in 1:9) plot(rtree(20))
### Nine random cladograms:
for (i in 1:9) plot(rtree(20, FALSE), type = "c")
### generate 4 random trees of bird orders:
data(bird.orders)
layout(matrix(1:4, 2, 2))
for (i in 1:4)
  plot(rcoal(23, tip.label = bird.orders$tip.label), no.margin = TRUE)
layout(matrix(1))