There may be code in another package to automate this more easily, but in response to a user question I thought I'd give a quick demo on one way that we can plot circles to represent the phenotypic trait values of species at the tips of a tree.

This example uses `draw.circle`

in the plotrix library, and it
might be necessary to modify it in various ways for your own purposes.

I have written a custom function for this - called `dotTree`

. The
kinks probably still need to be ironed out. Here is a demo.

First load libraries & simulate some data

```
## load libraries
library(plotrix)
library(phytools)
## to simulate data
tip.labels<-paste(LETTERS,replicate(26,
paste(sample(letters,round(runif(1,4,8))),collapse="")),
sep="._") ## realistic looking tip labels
tree<-pbtree(n=26,tip.label=tip.labels,scale=1)
x<-fastBM(tree,sig2=1)
```

Now the functions themselves:

```
dotTree<-function(tree,x,...){
## plot tree
tree<-reorder(tree,"cladewise")
plotTree(tree,offset=1.7,ylim=c(-1/25*Ntip(tree),
Ntip(tree)),...)
## get last phylo plot parameters
obj<-get("last_plot.phylo",envir=.PlotPhyloEnv)
x.tip<-obj$xx[1:obj$Ntip]
y.tip<-obj$yy[1:obj$Ntip]
## in case any x<0
min.x<-min(x)
max.x<-max(x)
if(any(x<0)) x<-x-min(x)
## plot points
x<-x[tree$tip.label]
draw.circle(x.tip+1.2*strwidth("W"),y.tip,nv=200,
radius=(0.8*x/max(x)+0.1)/2*diff(par()$usr[1:2])/
diff(par()$usr[3:4]),col="blue")
## add legend
circle.legend(x=par()$usr[1]+0.1*max(nodeHeights(tree)),
y=0.1*(1+par()$usr[3]),min.x,max.x,length=5,...)
}
circle.legend<-function(x,y,min,max,length=4,prompt=FALSE,...){
if(hasArg(cex)) cex<-list(...)$cex
else cex<-1
if(prompt){
obj<-locator(1)
x<-obj$x
y<-obj$y
}
text(x,y-0.5,round(min,2),pos=1,cex=cex)
s<-(0.8*max(min,0)/min(max,max+min)+0.1)/2*diff(par()$usr[1:2])/
diff(par()$usr[3:4])
e<-(0.8/2*diff(par()$usr[1:2])+0.1)/diff(par()$usr[3:4])
rr<-seq(s,e,length.out=length)
temp<-c(0,cumsum(1.1*rep(2*max(rr),length-1)))
draw.circle(x+temp,rep(y,length),nv=200,radius=rr,col="blue")
text(max(x+temp),y-0.5,round(max,2),pos=1,cex=cex)
y1<-0.1/25*Ntip(tree)
lines(c(x,max(x+temp)),rep(y-0.5-y1,2))
lines(c(x,x),y-c(y1+0.5,2*y1+0.5))
lines(c(max(x+temp),max(x+temp)),y-c(y1+0.5,2*y1+0.5))
}
```

Now let's try it:

```
dotTree(tree,x,ftype="i")
```

The visualization seems to work OK in this sized plotting device up to about 60 or 70 tips - after that a different method (or a bigger plotting device) is needed. For instance:

```
tree<-pbtree(n=60,scale=1)
x<-fastBM(tree,a=10,sig2=2)
dotTree(tree,x,lwd=1,fsize=0.6,cex=0.6)
```

That's it.