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This function computes the population parameter THETA using the number of segregating sites \(s\) in a sample of \(n\) DNA sequences.
theta.s(x, ...) # S3 method for DNAbin theta.s(x, variance = FALSE, ...) # S3 method for default theta.s(x, n, variance = FALSE, ...)
A numeric vector of length one with the estimated theta (the default), or of length two if the standard error is returned (variance = TRUE).
variance = TRUE
a numeric giving the number of segregating sites.
a numeric giving the number of sequences.
a logical indicating whether the variance of the estimated THETA should be returned (TRUE), the default being FALSE.
TRUE
FALSE
arguments passed to methods.
Emmanuel Paradis
Watterson, G. A. (1975) On the number of segragating sites in genetical models without recombination. Theoretical Population Biology, 7, 256--276.
Tajima, F. (1989) Statistical method for testing the neutral mutation hypothesis by DNA polymorphism. Genetics, 123, 585--595.
theta.h, theta.k, seg.sites, nuc.div, theta.tree
theta.h
theta.k
seg.sites
nuc.div
theta.tree
data(woodmouse) theta.s(woodmouse) theta.s(woodmouse, variance = TRUE) ## using the default: s <- length(seg.sites(woodmouse)) n <- nrow(woodmouse) theta.s(s, n)
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