An R-sig-phylo list server, Matthew Vavrek, just posted to inquire as to whether anyone could suggest an algorithm to add a tip to the tree in all possible places (i.e., along each edge of the tree). I contributed my solution, which works by using the {ape} function bind.tree(); but I wonder if anyone else can suggest a more elegant version. The function bind.tree() is designed to merge two trees; the trick here is that we want to add a tip - not a tree.
This is how I did it.
Say, we start with a random, unrooted tree with 4 species. Of course, 4 is arbitrary here - we could start with a tree of any length.
tree<-rtree(n=4,rooted=FALSE,br=rep(1,5)) # random tree
# create a 5th species, here "t5", to add as a "phylo" object
# [I don't think this can be avoided with bind.tree()]
new.tip<-list(edge=matrix(c(2,1),1,2),tip.label="t5", edge.length=1,Nnode=1)
class(new.tip)<-"phylo"
# we have "tricked" R into thinking that new.tip is a tree
# add the new tip to all edges of the tree
trees<-list(); class(trees)<-"multiPhylo"
for(i in 1:nrow(tree$edge))
trees[[i]]<-bind.tree(tree,new.tip,
where=tree$edge[i,2],position=0.5)
# now plot them to see what we have done
plot(trees,type="unrooted",use.edge.length=F)
And that's it - we have created (and plotted) our four taxon starting tree with a fifth species added in all possible positions!
Of course, we could generalize this with the following function:
add.everywhere<-function(tree,tip.name){
tree<-unroot(tree)
tree$edge.length<-rep(1,nrow(tree$edge))
new.tip<-list(edge=matrix(c(2,1),1,2),tip.label=tip.name,
edge.length=1,Nnode=1)
class(new.tip)<-"phylo"
# add the new tip to all edges of the tree
trees<-list(); class(trees)<-"multiPhylo"
for(i in 1:nrow(tree$edge)){
trees[[i]]<-bind.tree(tree,new.tip,
where=tree$edge[i,2],position=0.5)
trees[[i]]$edge.length<-NULL
}
return(trees)
}
After loading the function above, and {ape}, let's try it:
> tree<-read.tree(text="((George,Paul),(Ringo,John));")
> trees<-add.everywhere(tree,"Pete_Best")
> plot(trees,type="unrooted")
Cool.
After making a small change suggested (here) by Emmanuel Paradis, I have now posted this function online. Direct link to code is here.
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