Over the past few days I’ve made various posts about graphing discretely & continuous-valued trait data at the tips of an “arc” or “fan” style tree (1, 2, 3).
After some fixes and improvements, my best solution to this problem (here) has now been added to the phytools package on GitHub (which can be installed, as always, using the remotes or devtools packages).
Here’s a quick example using a now classic phylogeny & trait dataset for Anolis lizards from Mahler et al. (2010).
library(phytools)
packageVersion("phytools")
## [1] '2.2.2'
data(anoletree)
anoletree
##
## Phylogenetic tree with 82 tips and 81 internal nodes.
##
## Tip labels:
## ahli, allogus, rubribarbus, imias, sagrei, bremeri, ...
##
## The tree includes a mapped, 6-state discrete character
## with states:
## CG, GB, TC, TG, Tr, Tw
##
## Rooted; includes branch lengths.
data(anole.data)
head(anole.data)
anole_resid<-phyl.resid(anoletree,
x=setNames(anole.data[,"SVL"],rownames(anole.data)),
Y=anole.data[,2:6])
cols<-plotFanTree.wTraits(ladderize(anoletree,right=FALSE),
cbind(anole.data[,1,drop=FALSE],anole_resid$resid),
part=0.5,arc_height=1,spacer=0.1,fsize=0.7)
h<-max(nodeHeights(anoletree))
arc_height<-1
text(x=h+seq(0.05,by=0.07,length.out=ncol(anole.data))*h+
arc_height*h,y=rep(-0.5,ncol(anole.data)),
c("SVL",paste("resid(",colnames(anole.data)[2:6],")",sep="")),
srt=-90,adj=c(0, 0.25),cex=0.5)
text(x=-h-seq(0.05,by=0.07,length.out=ncol(anole.data))*h-
arc_height*h,y=rep(-0.5,ncol(anole.data)),
c("SVL",paste("resid(",colnames(anole.data)[2:6],")",sep="")),
srt=90,adj=c(1, 0.25),cex=0.5)
add.color.bar(1.5*h,cols[[1]],title="",lims=NULL,digits=0,
subtitle="",x=-0.75*h,y=0,prompt=FALSE,outline=FALSE,
lwd=8)
text(x=-0.75*h,y=-0.25,"smaller",adj=c(0,1))
text(x=0.75*h,y=-0.25,"larger",adj=c(1,1))
Although what’s now in phytools is largely what I previously posted on this blog, the most significant improvement is that the phytools version can handle non-ultrametric trees.
Here’s an example.
tree<-rtree(n=200)
Q<-matrix(c(-1,1,0,1,-2,1,0,1,-1),3,3,
dimnames=list(letters[1:3],letters[1:3]))
X<-sim.Mk(tree,Q,nsim=10)
plotFanTree.wTraits(tree,X,ftype="off")
OK – well, I’m not sure about that default color palette, but, aside from that, pretty cool IMO.
Saludos people.