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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 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.
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
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
# NOT RUN { 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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