boot.ppbetas function

Estimates bootstrap confidence intervals for pairwise betas FST estimates

Estimates bootstrap confidence intervals for pairwise betas FST estimates.

boot.ppbetas(dat=dat,nboot=100,quant=c(0.025,0.975),diploid=TRUE,digits=4)

Arguments

• dat: A data frame containing population of origin as the first column and multi-locus genotypes in following columns
• nboot: the number of bootstrap samples to draw
• quant: the limit of the confidence intervals
• diploid: whether the data is from a diploid (default) or haploid organism
• digits: how many digits to print out

Returns

a matrix with upper limit of the bootstrap CI above the diagonal and lower limit below the diagonal

Examples

## Not run:

data(gtrunchier)
boot.ppbetas(gtrunchier[,-2])
## End(Not run)

See Also

betas pairwise.betas