Table 3.

RMSE values for increasing number of SNPs using fastsimcoal2 under a stable population (λ = 1.0)

		5000	10,000	25,000	50,000	100,000	150,000
N = 250	n = 15	0.000357	0.000357	0.000267	0.000201	0.000136	0.000101
	n = 30	0.000118	0.000234	0.000178	0.00014	0.000103	8.58E−05
	n = 60	0.000738	0.000367	0.000153	6.30E−05	6.14E−05	5.73E−05
N = 500	n = 15	0.000233	0.00017	0.000105	0.000153	0.000152	0.000147
	n = 30	0.00019	6.69E−05	8.29E−05	6.43E−05	6.10E−05	8.13E−05
	n = 60	0.000352	0.000191	8.78E−05	5.30E−05	5.33E-05	5.28E-05
N = 1000	n = 15	0.000217	0.000208	0.000217	0.000208	0.00022	0.000234
	n = 30	0.000205	8.59E−05	9.19E−05	9.73E−05	0.000115	0.000113
	n = 60	0.000188	1.18E−04	4.66E−05	4.04E-05	4.52E−05	5.50E−05

Bold values identify the lowest RMSE for a particular combination of population size (N) and individual sampling level (n). Bold and italicized values identify the lowest RMSE for a particular population size