PhyloDistance-RF: Robinson-Foulds Distance

In npcooley/SynExtend: Tools for Working With Synteny Objects

Robinson-Foulds Distance

Description

Calculate RF distance between two unrooted phylogenies.

Details

This function is called as part of PhyloDistance and calculates Robinson-Foulds distance between two unrooted phylogenies. Each dendrogram is first pruned to only internal branches implying a partition in the shared leaf set; trivial partitions (where one leaf set contains 1 or 0 leaves) are ignored. The total score is calculated as the number of unique partitions divided by the total number of partitions in both trees. Setting RawScore=TRUE will instead return a vector with (P_{shared}, P_1, P_2), corresponding to the shared partitions and partitions in the first and second trees (respectively).

This algorithm incorporates some optimizations from Pattengale et al. (2007) to improve computation time of the original fast RF algorithm detailed in Day (1985).

Value

Returns a normalized distance, with 0 indicating identical trees and 1 indicating maximal difference. Note that branch lengths are not considered, so two trees with different branch lengths may return a distance of 0.

If RawScore=TRUE, returns a named length 3 vector with the first entry the number of unique partitions, and the subsequent entries the number of partitions for each tree.

If the trees have no leaves in common, the function will return 1 if RawScore=FALSE, and c(0, NA, NA) if TRUE.

Note

Note that this function requires the input dendrograms to be labeled alike (ex. leaf labeled abc in dend1 represents the same species as leaf labeled abc in dend2). Labels can easily be modified using dendrapply.

Author(s)

Aidan Lakshman [e-mail]

References

Robinson, D.F. and Foulds, L.R. Comparison of phylogenetic trees. Mathematical Biosciences, 1987. 53(1–2): 131–147.

Day, William H.E. Optimal algorithms for comparing trees with labeled leaves. Journal of classification, 1985. 2(1): 7-28.

Pattengale, N.D., Gottlieb, E.J., and Moret, B.M. Efficiently computing the Robinson-Foulds metric. Journal of computational biology, 2007. 14(6): 724-735.

Examples

# making some toy dendrograms
set.seed(123)
dm1 <- as.dist(matrix(runif(64, 0.5, 5), ncol=8))
dm2 <- as.dist(matrix(runif(64, 0.5, 5), ncol=8))

tree1 <- as.dendrogram(hclust(dm1))
tree2 <- as.dendrogram(hclust(dm2))

# get RF distance
PhyloDistance(tree1, tree2, Method="RF")

# get number of unique splits per tree
PhyloDistance(tree1, tree2, Method="RF", RawScore=TRUE)

npcooley/SynExtend documentation built on May 2, 2024, 7:28 p.m.