I have a time-calibrated phylogenetic tree from BEAST and I would like to make a figure in which its nodes are rotated to match an arbitrary ordering. The following code works perfectly to plot the tree with the nodes in the order they are in the input file.
library("phytools")
library("phyloch")
library("strap")
library("coda")
t <- read.beast("mcctree.tre") # I couldn't upload the file here
t$root.time <- t$height[1]
num_taxa <- length(t$tip.label)
display_all_node_bars <- TRUE
names_list <-vector()
for (name in t$tip){
v <- strsplit(name, "_")[[1]]
if(display_all_node_bars){
names_list = c(names_list, name)
}
else if(v[length(v)]=="0"){
names_list = c(names_list, name)
}
}
nids <- vector()
pos <- 1
len_nl <- length(names_list)
for(n in names_list){
for(nn in names_list[pos:len_nl]){
if(n != nn){
m <- getMRCA(t,c(n, nn))
if(m %in% nids == FALSE){
nids <- c(nids, m)
}
}
}
pos <- pos+1
}
pdf("tree.pdf", width = 20, height = 20)
geoscalePhylo(tree = t,
x.lim = c(-2,21),
units = c("Epoch"),
tick.scale = "myr",
boxes = FALSE,
width = 1,
cex.tip = 2,
cex.age = 3,
cex.ts = 2,
erotate = 0,
label.offset = 0.1)
lastPP <- get("last_plot.phylo", envir = .PlotPhyloEnv)
for(nv in nids){
bar_xx_a <- c(lastPP$xx[nv]+t$height[nv-num_taxa]-t$"height_95%_HPD_MIN"[nv-num_taxa],
lastPP$xx[nv]-(t$"height_95%_HPD_MAX"[nv-num_taxa]-t$height[nv-num_taxa]))
lines(bar_xx_a, c(lastPP$yy[nv], lastPP$yy[nv]), col = rgb(0, 0, 1, alpha = 0.3), lwd = 12)
}
t$node.label <- t$posterior
p <- character(length(t$node.label))
p[t$node.label >= 0.95] <- "black"
p[t$node.label < 0.95 & t$node.label >= 0.75] <- "gray"
p[t$node.label < 0.75] <- "white"
nodelabels(pch = 21, cex = 1.5, bg = p)
dev.off()
The following code is my attempt to rotate the nodes in the way I want (following this tutorial: http://blog.phytools.org/2015/04/finding-closest-set-of-node-rotations.html). And it works for rotating the nodes. However, the blue bars indicating the confidence intervals of the divergence time estimates get out of their correct place - this is what I would like help to correct. This will be used in much larger files with hundreds of branches - the example here is simplified.
new.order <- c("Sp8","Sp9","Sp10","Sp7","Sp6","Sp5","Sp4","Sp2","Sp3","Ou1","Ou2","Sp1")
t2 <- setNames(1:Ntip(t), new.order)
new.order.tree <- minRotate(t, t2)
new.order.tree$root.time <- t$root.time
new.order.tree$height <- t$height
new.order.tree$"height_95%_HPD_MIN" <- t$"height_95%_HPD_MIN"
new.order.tree$"height_95%_HPD_MAX" <- t$"height_95%_HPD_MAX"
pdf("reordered_tree.pdf", width = 20, height = 20)
geoscalePhylo(tree = new.order.tree,
x.lim = c(-2,21),
units = c("Epoch"),
tick.scale = "myr",
boxes = FALSE,
width = 1,
cex.tip = 2,
cex.age = 3,
cex.ts = 2,
erotate = 0,
label.offset = 0.1)
lastPP <- get("last_plot.phylo", envir = .PlotPhyloEnv)
for(nv in nids){
bar_xx_a <- c(lastPP$xx[nv]+new.order.tree$height[nv-num_taxa]-new.order.tree$"height_95%_HPD_MIN"[nv-num_taxa],
lastPP$xx[nv]-(new.order.tree$"height_95%_HPD_MAX"[nv-num_taxa]-new.order.tree$height[nv-num_taxa]))
lines(bar_xx_a, c(lastPP$yy[nv], lastPP$yy[nv]), col = rgb(0, 0, 1, alpha = 0.3), lwd = 12)
}
new.order.tree$node.label <- t$posterior
p <- character(length(new.order.tree$node.label))
p[new.order.tree$node.label >= 0.95] <- "black"
p[new.order.tree$node.label < 0.95 & new.order.tree$node.label >= 0.75] <- "gray"
p[new.order.tree$node.label < 0.75] <- "white"
nodelabels(pch = 21, cex = 1.5, bg = p)
dev.off()
I've found several similar questions here and in other forums, but none dealing specifically with time-calibrated trees - which is the core of the problem described above.

