gixajo
12-23-2023, 03:45 PM
Once again, emulating classic calculators from Gedmatch.
Don't pay too much attention to the distances, the references try to be diffuse as always when I try to look for "components", and some will have better distances than others, some will get absurdly large distances. It doesn't matter too much, just for fun.:)
No penalization needed.
For scaled coordinates.
vahaduo (https://vahaduo.github.io/vahaduo/)
African,-0.621364,0.06419,0.021182,0.018276,0.000602,0.0081 ,0.031916,-0.017387,-0.026616,0.02523,0.007226,-0.040058,-0.005916,-0.000558,0.00539,-0.00613,0.003632,0.007316,-0.004693,-0.000641,-0.001334,-0.002483,0.001438,0.000226,-0.000164
Amerindian,0.05416,-0.304976,0.110006,0.080566,-0.10298,-0.016453,-0.230909,-0.275692,-0.009938,-0.018084,0.002922,-0.003055,0.003984,0.010372,-0.010516,0.001274,0.002441,0.002289,0.005786,0.003 946,0.00108,-0.002096,0.00082,0.003784,0.003899
Atlantic-Baltic,0.129511,0.134094,0.06457,0.045183,0.042836 ,0.016582,0.004362,0.007065,0.00883,0.002368,-0.004511,0.00154,-0.0047,-0.001629,0.01032,0.003134,-0.004391,0.00087,0.001319,0.001362,0.003114,0.0000 06,0.000256,0.00277,0.000466
Australian,-0.040408,-0.247459,-0.230251,0.25677,0.176348,-0.40716,0.0002,0.004586,-0.02668,-0.007626,-0.006982,0.001292,0.000896,-0.002787,-0.001256,0.000186,0.001167,0.000856,-0.00005,0.000491,0.002582,-0.000662,-0.000968,-0.000925,-0.002808
Caucasus-Gedrosia,0.086075,0.088582,-0.076469,-0.007496,-0.053212,0.010084,0.005614,-0.001682,-0.032346,-0.016798,-0.00034,0.001016,-0.002658,-0.004305,0.007582,0.009782,-0.002802,0.000868,0.001072,-0.008806,0.002996,-0.005593,0.000102,-0.009061,0.00509
East_Asian,0.018805,-0.43819,-0.018216,-0.055304,0.080544,0.036732,0.001356,-0.003924,-0.009686,-0.001082,-0.026634,-0.002952,0.005277,-0.004151,-0.00528,-0.002612,0.000284,-0.000013,-0.002888,-0.005697,0.010724,0.002662,0.00702,0.000666,-0.00024
Siberian,0.045558,-0.394161,0.129978,0.012344,-0.134982,-0.069037,-0.023774,-0.021849,0.016866,0.004621,0.058636,0.002982,-0.001479,-0.012366,-0.022074,-0.011597,-0.001934,0.012404,0.028417,0.007576,0.035068,-0.03297,0.018986,0.014957,0.023636
South_Asian,0.022636,-0.144788,-0.177566,0.12191,-0.052502,0.062546,-0.003986,0.014506,0.068918,0.044472,0.005318,0.001 702,-0.00191,0.009944,-0.015494,-0.016798,0.007286,-0.000341,-0.001152,0.015512,0.003714,0.009346,-0.001936,0.004834,-0.00227
Southern,-0.026438,0.131872,-0.044282,-0.09041,-0.004412,-0.037808,-0.013004,-0.002606,0.052224,-0.011936,0.007327,-0.015478,0.031294,0.000229,0.007335,0.0048,-0.006604,-0.001982,-0.00399,0.010314,0.002679,0.003302,0.000624,0.0018 73,-0.00163
Don't pay too much attention to the distances, the references try to be diffuse as always when I try to look for "components", and some will have better distances than others, some will get absurdly large distances. It doesn't matter too much, just for fun.:)
No penalization needed.
For scaled coordinates.
vahaduo (https://vahaduo.github.io/vahaduo/)
African,-0.621364,0.06419,0.021182,0.018276,0.000602,0.0081 ,0.031916,-0.017387,-0.026616,0.02523,0.007226,-0.040058,-0.005916,-0.000558,0.00539,-0.00613,0.003632,0.007316,-0.004693,-0.000641,-0.001334,-0.002483,0.001438,0.000226,-0.000164
Amerindian,0.05416,-0.304976,0.110006,0.080566,-0.10298,-0.016453,-0.230909,-0.275692,-0.009938,-0.018084,0.002922,-0.003055,0.003984,0.010372,-0.010516,0.001274,0.002441,0.002289,0.005786,0.003 946,0.00108,-0.002096,0.00082,0.003784,0.003899
Atlantic-Baltic,0.129511,0.134094,0.06457,0.045183,0.042836 ,0.016582,0.004362,0.007065,0.00883,0.002368,-0.004511,0.00154,-0.0047,-0.001629,0.01032,0.003134,-0.004391,0.00087,0.001319,0.001362,0.003114,0.0000 06,0.000256,0.00277,0.000466
Australian,-0.040408,-0.247459,-0.230251,0.25677,0.176348,-0.40716,0.0002,0.004586,-0.02668,-0.007626,-0.006982,0.001292,0.000896,-0.002787,-0.001256,0.000186,0.001167,0.000856,-0.00005,0.000491,0.002582,-0.000662,-0.000968,-0.000925,-0.002808
Caucasus-Gedrosia,0.086075,0.088582,-0.076469,-0.007496,-0.053212,0.010084,0.005614,-0.001682,-0.032346,-0.016798,-0.00034,0.001016,-0.002658,-0.004305,0.007582,0.009782,-0.002802,0.000868,0.001072,-0.008806,0.002996,-0.005593,0.000102,-0.009061,0.00509
East_Asian,0.018805,-0.43819,-0.018216,-0.055304,0.080544,0.036732,0.001356,-0.003924,-0.009686,-0.001082,-0.026634,-0.002952,0.005277,-0.004151,-0.00528,-0.002612,0.000284,-0.000013,-0.002888,-0.005697,0.010724,0.002662,0.00702,0.000666,-0.00024
Siberian,0.045558,-0.394161,0.129978,0.012344,-0.134982,-0.069037,-0.023774,-0.021849,0.016866,0.004621,0.058636,0.002982,-0.001479,-0.012366,-0.022074,-0.011597,-0.001934,0.012404,0.028417,0.007576,0.035068,-0.03297,0.018986,0.014957,0.023636
South_Asian,0.022636,-0.144788,-0.177566,0.12191,-0.052502,0.062546,-0.003986,0.014506,0.068918,0.044472,0.005318,0.001 702,-0.00191,0.009944,-0.015494,-0.016798,0.007286,-0.000341,-0.001152,0.015512,0.003714,0.009346,-0.001936,0.004834,-0.00227
Southern,-0.026438,0.131872,-0.044282,-0.09041,-0.004412,-0.037808,-0.013004,-0.002606,0.052224,-0.011936,0.007327,-0.015478,0.031294,0.000229,0.007335,0.0048,-0.006604,-0.001982,-0.00399,0.010314,0.002679,0.003302,0.000624,0.0018 73,-0.00163