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phangorn (version 1.2-0)

dist.hamming: Pairwise Distances from Sequences

Description

dist.hamming and dist.logDet compute pairwise distances for an object of class phyDat. dist.ml fits distances for amino acid models.

Usage

dist.hamming(x, ratio = TRUE)
dist.logDet(x)
dist.ml(x, model="JC69",...)

Arguments

x
an object of class dist.logDet
ratio
compute uncorrected ('p') distance or character difference.
model
One of "JC69", "WAG", "JTT", "LG" or "Dayhoff"
...
Further arguments passed to or from other methods.

Value

  • an object of class dist

References

Lockhart, P. J., Steel, M. A., Hendy, M. D. and Penny, D. (1994) Recovering evolutionary trees under a more realistic model of sequence evolution. Molecular Biology and Evolution, 11, 605--602.

See Also

For more distance methods for nucleotide data see dist.dna

Examples

Run this code
data(Laurasiatherian)
dm1 <- dist.hamming(Laurasiatherian)
tree1 <- NJ(dm1)
dm2 <- dist.logDet(Laurasiatherian)
tree2 <- NJ(dm2)
treedist(tree1,tree2)

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