Adding a slanted phylogram (aka. 'cladogram') method to plotSimmap
,
as I did
yesterday,
had the unintented but immediate effect of permitting us to very closely approximate the slanted
tree style of both the original DensiTree
software & Klaus Schliep's densiTree
function of the
phangorn R package.
Here is what that looks like using phytools:
library(phytools)
packageVersion("phytools")
## [1] '0.6.11'
tt
## 99 phylogenetic trees
densityTree(tt,type="cladogram",nodes="intermediate")
We can do the same with stochastic map trees. For instance:
cols<-setNames(c("blue","red"),c("a","b"))
densityTree(mtrees,colors=cols,type="cladogram",method="plotSimmap",
nodes="intermediate",fix.depth=TRUE)
add.simmap.legend(colors=cols,prompt=FALSE,x=0.9,y=2,vertical=FALSE)
## [1] TRUE
We need to set the node position to "intermediate"
because the default for
densityTree
, as I mentioned in a previous post, is "inner"
- but this
works much better for a square phylogram than a slanted one!
Note that I also had to fix add.simmap.legend
to permit the legend to plot correctly when our axis is flipped, as is done for densityTree
plots.
We can also show just the topological incongruence among trees as follows:
densityTree(tt,use.edge.length=FALSE,type="cladogram",nodes="centered",
alpha=0.03)
For this one, I used nodes="centered"
and increaed the alpha
transparency level over its default (1/N) simply because there is so little topological
incongruence in our set of trees that it is otherwise hard to see.
That's it for now.