### Run simulations ###

> HACSObj<-HACReal()

> HAC.simrep(HACSObj)

Simulating haplotype accumulation...

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

—Measures of Sampling Closeness —

Mean number of haplotypes sampled: 9.9099

Mean number of haplotypes not sampled: 2.0901

Proportion of haplotypes sampled: 0.825825

Proportion of haplotypes not sampled: 0.174175

Mean value of N*: 207.0657

Mean number of specimens not sampled: 36.06566

Desired level of haplotype recovery has not yet been reached

===================================================== 100%

—Measures of Sampling Closeness —

Mean number of haplotypes sampled: 11.3231

Mean number of haplotypes not sampled: 0.6769

Proportion of haplotypes sampled: 0.9435917

Proportion of haplotypes not sampled: 0.05640833

Mean value of N*: 413.3144

Mean number of specimens not sampled: 23.31438

Desired level of haplotype recovery has not yet been reached

===================================================== 100%

—Measures of Sampling Closeness —

Mean number of haplotypes sampled: 11.4769

Mean number of haplotypes not sampled: 0.5231

Proportion of haplotypes sampled: 0.9564083

Proportion of haplotypes not sampled: 0.04359167

Mean value of N*: 432.8695

Mean number of specimens not sampled: 18.8695

Desired level of haplotype recovery has been reached

———- Finished. ———-

The initial guess for sampling sufficiency was N = 171 individuals

The algorithm converged after 9 iterations and took 174.215 s

The estimate of sampling sufficiency for p = 95% haplotype recovery is N* = 414 individuals ( 95% CI: 411.937-416.063 )

The number of additional specimens required to be sampled for p = 95% haplotype recovery is N* - N = 243 individuals