summarise_bootstrap(bs, statistic)
per.locus: matrix of statistics calculated for each locus and each bootstrap replication
global.het: vector of global estimates calculated from overall heterozygosity
global.het: vector of global estimates calculated from harmonic mean of statistic (only applied to D_Jost)
summary.loci: matrix containing mean, .025 and 0.975 percentile and varaince of statisic for each locus
summary.global_het: mean, .025 and 0.975 percentile and variance for global estimate variance of statistic for each locus based on heterozygosity
summary.global_harm: mean, .025 and 0.975 percentile and variance for global estimate variance of statistic for each locus based on harmonic mean
This function applies a differentiation statistic (eg, D_Jost, Gst_Hedrick or Gst_Nei) to a list of genind objects, possibly produced with chao_bootsrap or jacknife_populations. The resulting list contains a matrix of values with the statistic for each locus as well as a global estimate for every object in the sample. Additionally, mean and 95 calculated for each set of statisics A custom print method that displays these summaries is provided.
## Not run: # data(nancycats)# bs <- chao_bootstrap(nancycats)# summarise_bootstrap(bs, D_Jost)# ## End(Not run)