This function computes the nucleotide diversity from a sample of DNA sequences.
nuc.div(x, variance = FALSE, pairwise.deletion = FALSE)
- a matrix or a list which contains the DNA sequences.
- a logical indicating whether to compute the variance of the estimated nucleotide diversity.
- a logical indicating whether to delete the sites with missing data in a pairwise way. The default is to delete the sites with at least one missing data for all sequences.
The nucleotide diversity is the sum of the number of differences between pairs of sequences divided by the number of comparisons (i.e. n(n - 1)/2, where n is the number of sequences).
The variance of the estimated diversity uses formula (10.9) from Nei
(1987). This applies only if all sequences are of the same lengths,
and cannot be used if
pairwise.deletion = TRUE. A bootstrap
estimate may be in order if you insist on using the latter option.
- A numeric vector with one or two values (if
variance = TRUE).
Nei, M. (1987) Molecular evolutionary genetics. New York: Columbia University Press.
data(woodmouse) nuc.div(woodmouse) nuc.div(woodmouse, TRUE) nuc.div(woodmouse, FALSE, TRUE)