Gst: Estimation Nei's Gst parameter
In MarianaLag/Mlag: Tools Related to the Spatial Analysis of Genetic Marker Data

Description Usage Arguments Value Author(s) Examples

This function estimates Nei's Gst parameter and potentially returns the components of it as well as the probability. The results are returned as a data.frame.

1	Gst(x, stratum = "Population", nperm = 0, size.correct = TRUE)

`x`	A vector of `locus` objects or a `data.frame` with `locus` objects.
`stratum`	Either a vector of strata variables if `x` is a `locus` vector or the name of the column representing strata in `x` if it is a `data.frame`.
`nperm`	The number of permutations to run for significance of the estimator.
`size.correct`	A flag indicating that the estimate should be corrected for based upon sample sizes (default=TRUE).

An data.frame with Gst, Ht, and Hs and optionally P

Rodney J. Dyer rjdyer@vcu.edu

 AA <- locus( c("A","A") )
 AB <- locus( c("A","B") )
 BB <- locus( c("B","B") )
 locus <- c(AA,AA,AA,AA,BB,BB,BB,AB,AB,AA)
 Population <- c(rep("Pop-A",5),rep("Pop-B",5))
 Gst( locus, Population, nperm=99 )
 locus2 <- c(AB,BB,AA,BB,BB,AB,AB,AA,AA,BB)
 df <- data.frame( Population, TPI=locus, PGM=locus2 )
 Gst( df, nperm=99)