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

Description Usage Arguments Value Author(s) Examples

This function estimates Wright's Fst parameter, the one based upon the variance in p, most applicable to a 2-allele locus. The results are returned as a data.frame.

1	Fst(x, stratum = "Population", nperm = 0)

`x`	A `data.frame` with `locus` objects. If there is more than one locus present, it will estimate the parameter for each locus. It DOES NOT estimate the multilocus Fst (and do not even think of averaging the single locus estimates).
`stratum`	Either the name of the column representing strata in `x`. By default, this function will use "Population".
`nperm`	The number of permutations to run to test Fst=0 hypothesis.

An data.frame with Fst, sigma_p (variance among populations), and pq the total variance at the locus.

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))
 df <- data.frame(Population,locus)
 Fst( df )
 locus2 <- c(AA,AA,AA,AA,AA,BB,BB,BB,BB,BB)
 df <- data.frame( Population, TPI=locus, PGM=locus2 )
 Fst( df )