### Run simulations ###

> HACSObj<-HACReal()

> HAC.simrep(HACSObj)

Simulating haplotype accumulation...

— =====================================================— 100%

— Measures of Sampling Closeness —

Mean number of haplotypes sampled: 11.0705

Mean number of haplotypes not sampled: 3.9295

Proportion of haplotypes sampled: 0.7380333

Proportion of haplotypes not sampled: 0.2619667

Mean value of N*: 318.4138

Mean number of specimens not sampled: 83.4138

Desired level of haplotype recovery has not yet been reached

— =======================================================— 100%

—Measures of Sampling Closeness —

Mean number of haplotypes sampled: 13.8705

Mean number of haplotypes not sampled: 1.1295

Proportion of haplotypes sampled: 0.9247

Proportion of haplotypes not sampled: 0.0753 Mean value of N*: 603.439

Mean number of specimens not sampled: 45.43895

Desired level of haplotype recovery has not yet been reached

— ==========================================================— 100%

—Measures of Sampling Closeness —

Mean number of haplotypes sampled: 14.3708

Mean number of haplotypes not sampled: 0.6292

Proportion of haplotypes sampled: 0.9580533

Proportion of haplotypes not sampled: 0.04194667

Mean value of N*: 630.4451

Mean number of specimens not sampled: 26.44507

Desired level of haplotype recovery has been reached

———- Finished. ———-

The initial guess for sampling sufficiency was N = 235 individuals

The algorithm converged after 8 iterations and took 241.235 s

The estimate of sampling sufficiency for p = 95% haplotype recovery is N∗ = 604 individuals ( 95% CI: 601.504-606.496 )

The number of additional specimens required to be sampled for p = 95% haplotype recovery is N* - N = 369 individuals