Мои данные:
0.00% Pygmy
6.22% West-Asian
3.88% North-European-Mesol
0.40% Indo-Tibetan
0.34% Mesoamerican
0.50% Arctic-Amerind
0.20% South-America_Amerin
0.13% Indian
0.67% North-Siberean
18.61% Atlantic_Mediterrane
1.72% Samoedic
0.98% Indo-Iranian
0.52% East-Siberean
64.09% North-East-European
0.22% South-African
0.20% North-Amerind
0.00% Sub-Saharian
0.00% East-South-Asian
1.09% Near_East
0.18% Melanesian
0.00% Paleo-Siberian
0.06% Austronesian
Using 1 population approximation:
1 Ukrainian-Center @ 3,14442
2 Ukrainian_V @ 3,878799
3 Ukrainian-East @ 3,947558
4 Russian_V @ 4,067855
5 Belarusian_V @ 4,256191
6 Russian_cossack @ 4,344524
7 Russian_South @ 4,426137
8 Polish_V @ 4,718939
9 Sorb @ 4,99787
10 Ukrainian @ 5,052432
11 Ukrainian-West @ 5,151392
12 Polish @ 6,715526
13 Mordovian_V @ 6,755747
14 Russian_Center @ 6,941658
15 Mordovian @ 7,779762
16 Moldavian @ 8,612144
17 Slovakian @ 9,885686
18 Latvian_V @ 10,764666
19 Russian @ 10,804765
20 Russian_North @ 10,997324
253 iterations.
Using 2 populations approximation:
1 Russian_V+Ukrainian-Center @ 2,208823
2 Russian_V+Ukrainian_V @ 2,502528
3 Russian_South+Ukrainian_V @ 2,830884
4 Russian_V+Ukrainian-West @ 2,844735
5 Russian_South+Ukrainian-Center @ 2,892175
6 Russian_cossack+Ukrainian-Center @ 2,923558
7 Belarusian_V+Ukrainian-Center @ 2,944266
8 Ukrainian-Center+Ukrainian-East @ 2,971935
9 Polish_V+Ukrainian_V @ 2,972491
10 Belarusian+German @ 2,997909
11 Ukrainian-East+Ukrainian_V @ 3,00354
12 Russian_South+Ukrainian-West @ 3,008116
13 Russian_Center+Ukrainian-West @ 3,030136
14 Russian_cossack+Ukrainian_V @ 3,042357
15 Belarusian_V+Ukrainian_V @ 3,058904
16 Polish_V+Ukrainian-Center @ 3,076718
17 Russian_Center+Ukrainian_V @ 3,127625
18 Mordovian+Sorb @ 3,13716
19 Ukrainian-Center+Ukrainian-Center @ 3,14442
20 Mordovian_V+Polish_V @ 3,156892
Gaussian method.
Noise dispersion set to 0,22662
Using 1 population approximation:
1 Polish_V @ 2,546931
2 Ukrainian-East @ 2,845316
3 Ukrainian-Center @ 2,860159
4 Belarusian_V @ 3,040401
5 Ukrainian-West @ 3,139539
6 Russian_Center @ 3,172514
7 Russian_South @ 3,185197
8 Ukrainian_V @ 3,310638
9 Slovakian @ 3,347178
10 Polish @ 3,503232
11 Russian_V @ 3,70423
12 Russian_cossack @ 3,782209
13 German @ 3,979488
14 Sorb @ 3,985477
15 Ukrainian @ 4,00567
16 German-North @ 4,101171
17 German_V @ 4,263209
18 Russian @ 4,352131
19 Moldavian @ 4,441735
20 Mordovian @ 4,556076
253 iterations.
Данные жены:
Pygmy- 0,33
West-Asian- 7,05
North-European-Mesolithic- 3,80
Indo-Tibetan- 1,01
Mesoamerican- 0,00
Arctic-Amerind- 0,00
South-America_Amerind- 0,00
Indian- 0,00
North-Siberean- 1,05
Atlantic_Mediterranean_Neolithic -23,48
Samoedic- 0,19
Indo-Iranian- 1,00
East-Siberean- 0,07
North-East-European- 55,48
South-African- 0,05
North-Amerind- 0,00
Sub-Saharian -0,11
East-South-Asian – 0,16
Near_East- 5,14
Melanesian- 0,00
Paleo-Siberian- 0,90
Austronesian- 0,16
Using 1 population approximation:
1 Croatian_V @ 3,584663
2 Slovakian @ 5,519245
3 Czech @ 5,963228
4 German @ 6,584362
5 Slovenian @ 7,06812
6 Ukrainian-West @ 7,584447
7 Hungarian @ 8,260122
8 Croatian @ 8,333705
9 Ukrainian_V @ 8,699933
10 German-North @ 8,748425
11 Latvian_V @ 9,352173
12 Bosnian @ 9,812022
13 Ukrainian-Center @ 9,857432
14 Mordovian_V @ 10,209331
15 Austrian @ 11,285098
16 Sorb @ 11,311333
17 Swedish @ 11,511367
18 German_V @ 11,610067
19 CEU_V @ 12,119492
20 Swedish_V @ 12,138373
253 iterations.
Using 2 populations approximation:
1 Bulgarian+Estonian @ 2,360161
2 Estonian+Macedonian @ 2,963994
3 Estonian+Montenegrin @ 2,973506
4 Russian_V+Serbian @ 2,982523
5 Russian_Center+Serbian @ 3,286611
6 Latvian_V+Swedish @ 3,288739
7 Estonian+Romania @ 3,322531
8 Moldavian+Serbian @ 3,329395
9 Latvian_V+Swedish_V @ 3,333813
10 Macedonian+Russian_Center @ 3,354252
11 Hungarian+Ukrainian_V @ 3,378319
12 Estonian+Gagauz @ 3,391799
13 Montenegrin+Russian_Center @ 3,511623
14 German-North+Latvian_V @ 3,550921
15 Croatian_V+Croatian_V @ 3,584663
16 Hungarian+Ukrainian-West @ 3,619631
17 Russian_cossack+Serbian @ 3,752896
18 German+Ukrainian-West @ 3,759549
19 Hungarian+Ukrainian-Center @ 3,763461
20 Bosnian+Russian_V @ 3,777037
32131 iterations.
Gaussian method.
Noise dispersion set to 0,22662
Using 1 population approximation:
1 Slovenian @ 3,508076
2 Ukrainian-Center @ 3,809892
3 Ukrainian-West @ 3,878406
4 Czech @ 3,921835
5 Ukrainian_V @ 3,942166
6 Croatian_V @ 3,976034
7 Croatian @ 4,021183
8 Hungarian @ 4,045381
9 German @ 4,163658
10 Slovakian @ 4,164392
11 Polish_V @ 4,167468
12 German_V @ 4,209847
13 Ukrainian-East @ 4,285353
14 Sorb @ 4,40311
15 Austrian @ 4,40813
16 CEU_V @ 4,449356
17 Belarusian_V @ 4,479833
18 German-South @ 4,642434
19 German-North @ 4,66223
20 Russian_South @ 4,700475
253 iterations.