A phylo object in R can have internal node labels (phylo_obj$node.label), but many R functions use node numbers instead of the node labels. Even the phylo object itself uses node numbers to describe the edges (phylo_obj$edge) and does not seem to have a direct mapping of internal node labels to these node numbers used for phylo_obj$edge. How do I map node labels (eg., "NodeA" or "Artiodactyla") to the node number (eg., 250 or 212)? I can't find any R functions or generally any docs on this.
Not exactly sure what is the objective here but if you want to select specific node numbers in the edge table and there equivalent in the node labels vector, you can simply use tree$node.label[node_number - Ntip(tree)].
In more details:
## Simulating a random tree
set.seed(1)
my_tree <- rtree(10)
my_tree$node.label <- paste0("node", seq(1:9))
## Method 1: selecting a node of interest (e.g. MRCA)
mrca_node <- getMRCA(my_tree, tip = c("t1", "t2"))
#[1] 16
mrca_node is now the ID of the node in the edge table (in this case a number higher than 10). To select the equivalent node label you can simply select the number of tips from the mrca_node:
## The node label for the mrca_node
my_tree$node.label[mrca_node-Ntip(my_tree)]
#[1] "node6"
Alternatively, you can select your node labels from the edge table
## Method 2: directly extracting the nodes from the edge tables
# Function selecting the tip or node name corresponding to the edge row
select.tip.or.node <- function(element, tree) {
ifelse(element < Ntip(tree)+1,
tree$tip.label[element],
tree$node.label[element-Ntip(tree)])
}
## Making the edge table
edge_table <- data.frame(
"parent" = my_tree$edge[,1],
"par.name" = sapply(my_tree$edge[,1],
select.tip.or.node,
tree = my_tree),
"child" = my_tree$edge[,2],
"chi.name" = sapply(my_tree$edge[,2],
select.tip.or.node,
tree = my_tree)
)
# parent par.name child chi.name
#1 11 node1 12 node2
#2 12 node2 1 t10
#3 12 node2 13 node3
#4 13 node3 2 t6
#5 13 node3 3 t9
#6 11 node1 14 node4
#7 14 node4 15 node5
#8 15 node5 16 node6
#9 16 node6 4 t1
#10 16 node6 17 node7
#11 17 node7 5 t2
#12 17 node7 6 t7
#13 15 node5 7 t3
#14 14 node4 18 node8
#15 18 node8 19 node9
#16 19 node9 8 t8
#17 19 node9 9 t4
#18 18 node8 10 t5