Gedmatch calculators on Vahaduo

[Leto]

Gedmatch results of my North Slavic Slavic side only, created with help of Admixture Studio

Components %
North_Atlantic 23,12
Baltic 45,82
West_Med 10,95
West_Asian 7,70
East_Med 6,20
Red_Sea 2,58
South_Asian 1,66
East_Asian 0,00
Siberian 0,00
Amerindian 0,67
Oceanian 1,30
Northeast_African 0,00
Sub-Saharan 0,00


Target: Slavic
Distance: 4.4473% / 4.44725570 | R5P | ADC: 1x
70.9 Ukrainian_Belgorod
29.1 Ukrainian_Lviv


My Polish is Eastern Shifted, maybe because it unites with Russian and it is also interesting, that my North Slavic side has no Eastern Eurasian, which is rare for us and that means all that I have is probably coming from Bulgarian side and my Bulgarian ancestor was approximately about 3-4%, from what I calculated


Dodecad 12b

Target: North Slavic
Distance: 2.6643% / 2.66425009 | R4P | ADC: 1x RC
85.3 Russian_Voronezh
14.7 MD_South


Created by me partial results are such accurate, that I can model myself with it with perfect distance and accurate split

Target: Abriekman
Distance: 1.1556% / 1.15561572 | R6P
87.1 Slavic
12.9 Greek_Istanbul


Target: Abriekman
Distance: 1.0851% / 1.08505369 | R6P
85.1 Slavic
8.1 Turk_Deliorman
6.8 Greek_Istanbul

If you're majority Polish, the lack of East Eurasian is not really surprising. Even plenty of Ukrainians and Belarusians score 1% or less. I've even seen Russians with very negligible EE.

[Abriekman]

If you're majority Polish, the lack of East Eurasian is not really surprising. Even plenty of Ukrainians and Belarusians score 1% or less. I've even seen Russians with very negligible EE.

It makes sense then, the most suprising is that I have much more of it in segments, what are assigned as "Greek and Balkan" on 23andme, of which majority is Bulgarian, my ancestor was probably more Proto-Bulgar, than average I think if his ancestors lived in area, where they settled, from what I calculated he could have even 4% East Asian-Siberian

[Jana]

Wouldn't harm to add Belarusians from Minsk to K13 IMO, since we have only one BL average and while it's similar to this one they aren't the same.

Belarusian_Minsk,27.19,49.58,9.18,4.63,4.58,0.53,1.26,0.24,1.21,0.72,0.43,0.21,0.22

[Leto]

Wouldn't harm to add Belarusians from Minsk to K13 IMO, since we have only one BL average and while it's similar to this one they aren't the same.

Did you make sure to remove the couple of outliers?

EDIT: the average is correct, yes.

[Lucas]

Added updates.

[Leto]

Can you fix this thing?
https://www.theapricity.com/forum/sh...=1#post7039505

Also, I would change "Iran_" and "Iraq_" to "Iranian_" and "Iraqi_" (Dodecad).

[vbnetkhio]

I tried to add the "2way oracle" option to Vahaduo's code.

here's the edited version of the website with that option added:
https://filebin.net/s7rmwwdjoyny7oip

if works alright for everybody, could it be added to the online Vahaduo?

for me, it seems to work without any problems with a smaller source dataset, with a bigger one it becomes much slower.

[Dr_Maul]

for me, it seems to work without any problems with a smaller source dataset, with a bigger one it becomes much slower.

I probably should have read this before pasting the entire ancient individual spreadsheet in the source

[Dušan]

I tried to add the "2way oracle" option to Vahaduo's code.

here's the edited version of the website with that option added:
https://filebin.net/s7rmwwdjoyny7oip

if works alright for everybody, could it be added to the online Vahaduo?

for me, it seems to work without any problems with a smaller source dataset, with a bigger one it becomes much slower.

Excelent tool!

I used updated averages for source

Albanian,21.21,17.81,21.54,11.15,24.03,2.70,0.15,0.41,0.22,0.15,0.25,0.08,0.05
Austrian,37.21,29.87,14.58,7.23,8.23,1.56,0.78,0.07,0.16,0.12,0.11,0.07,0.00
Belorussian,29.37,49.40,7.59,3.87,4.98,1.44,0.97,0.18,1.32,0.18,0.38,0.20,0.13
Bulgarian,21.80,24.15,17.82,11.65,19.51,2.40,0.53,0.42,0.77,0.38,0.33,0.11,0.08
Croat,28.38,33.10,14.93,7.86,11.77,1.46,0.53,0.28,0.53,0.51,0.44,0.09,0.13
Czech,33.53,37.14,12.43,5.94,7,0.9,1.18,0.14,0.66,0.59,0.26,0.19,0.13
Dutch,48.51,25.09,12.03,5.04,3.99,1.18,0.90,0.43,0.51,0.70,0.48,0.49,0.57
English,49.92,23.49,13.55,5.65,3.78,0.70,1.08,0.14,0.26,0.55,0.41,0.22,0.19
Estonian,32.93,50.58,6.76,2.45,0.57,0.09,0.95,0.05,3.51,1.35,0.61,0.04,0.09
Finnish,34.17,47.69,4.43,2.21,0.65,0.42,0.53,0.96,6.48,0.90,0.81,0.50,0.26
French,42.85,16.74,22.72,4.28,9.36,1.58,0.63,0.27, 0.34,0.47,0.31,0.25,0.21
German,42.55,27.33,13.23,6.71,6.4,0.91,1.29,0.06,0 .24,0.47,0.32,0.32,0.18
Greek,19.35,16.29,20.51,13.35,25.39,3.12,0.24,0.35 ,0.44,0.34,0.35,0.17,0.05
Hungarian,30.52,32.40,14.21,7.17,10.58,1.23,0.92,0.51,1.19,0.56,0.36,0.19,0.16 
Italian,26.51,11.18,22.71,10.53,23.91,3.64,0.25,0. 23,0.1,0.24,0.32,0.24,0.11
NorthMacedonian,22.14,21.76,19.68,10.90,21.19,2.43,0.22,0.39,0.48,0.28,0.40,0.05,0.07
Moldovan,23.50,29.88,15.61,9.93,15.16,1.86,0.85,0.62,1.32,0.53,0.41,0.14,0.20
Montenegrin,24.59,25.60,18.00,10.24,17.34,2.29,0.21,0.24,0.71,0.43,0.25,0.02,0.07
Norwegian,51.14,28.61,9.91,5.60,1.73,0.43,0.42,0.36,0.64,0.91,0.15,0.01,0.10
Polish,30.43,45.49,10.42,5.43,3.74,1.24,0.96,0.11,0.29,0.84,0.26,0.51,0.28
Portuguese,38.54,11.51,25.32,2.43,13.90,3.63,0.42,0.14,0.25,0.44,0.67,1.72,1.04
Romanian,23.31,26.03,17.34,10.46,17.38,1.95,0.70,0.65,1.09,0.52,0.36,0.12,0.09
Russian,26.33,48.01,8.17,6.05,3.86,0.76,1.62,0.21, 3.22,0.98,0.35,0.26,0.17 
Scottish,52.74,22.77,12.06,6.59,1.74,0.62,1.28,0.04,0.43,0.97,0.40,0.07,0.04
Serb,24.72,29.47,17.13,9.20,15.42,1.55,0.55,0.27,0.72,0.53,0.30,0.08,0.05
Slovak,30.84,37.18,12.99,6.30,8.00,1.08,1.03,0.39,0.58,0.73,0.53,0.15,0.21
Slovenian,31.53,34.36,14.60,6.52,9.66,1.01,0.64,0.32,0.30,0.43,0.39,0.12,0.12
Spanish,40.45,10.02,27.74,2.32,12.96,2.9,0.58,0.31 ,0.27,0.35,0.26,1.13,0.69
Swedish,48.45,30.99,9.81,3.64,2.43,0.84,1.41,0.21,0.68,0.56,0.40,0.32,0.23
Ukrainian,27.77,43.57,12.05,6.12,5.68,0.16,1.09,0.91,1.41,0.78,0.28,0.11,0.07

I noticed that first population in source is referent.

Serb as referent:

Distance to: Dušan
4.39318849 82.60% Serb + 17.40% Russian
4.41774909 77.40% Serb + 22.60% Ukrainian
4.75786101 85.20% Serb + 14.80% Belorussian
4.83177536 83.20% Serb + 16.80% Polish
4.90495302 88.00% Serb + 12.00% Estonian
5.23876946 89.60% Serb + 10.40% Finnish
5.44166741 79.80% Serb + 20.20% Slovak
5.66289645 67.80% Serb + 32.20% Croat
5.71738012 86.80% Serb + 13.20% Czech
5.80124845 83.40% Serb + 16.60% Slovenian
5.93763666 44.00% Serb + 56.00% Moldovan
5.95926837 86.60% Serb + 13.40% Hungarian

Moldovan:

Distance to: Dušan
4.65712151 78.80% Moldovan + 21.20% Ukrainian
4.89208880 84.80% Moldovan + 15.20% Russian
4.97724101 84.40% Moldovan + 15.60% Polish
5.03860008 86.80% Moldovan + 13.20% Belorussian
5.09203572 89.20% Moldovan + 10.80% Estonian
5.37033281 79.60% Moldovan + 20.40% Slovak
5.42703546 91.00% Moldovan + 9.00% Finnish
5.52985546 66.80% Moldovan + 33.20% Croat
5.59895395 85.80% Moldovan + 14.20% Czech
5.60249778 80.60% Moldovan + 19.40% Slovenian
5.83038114 83.80% Moldovan + 16.20% Hungarian
5.93763666 56.00% Moldovan + 44.00% Serb
6.02026328 98.80% Moldovan + 1.20% Austrian
6.02299170 99.80% Moldovan + 0.20% Swedish

Ukrainian:

Distance to: Dušan
4.13057311 57.80% Ukrainian + 42.20% Albanian
4.22194481 50.40% Ukrainian + 49.60% NorthMacedonian
4.30889621 60.80% Ukrainian + 39.20% Greek
4.41774909 22.60% Ukrainian + 77.40% Serb
4.43166433 45.00% Ukrainian + 55.00% Bulgarian
4.57120796 37.20% Ukrainian + 62.80% Romanian
4.65712151 21.20% Ukrainian + 78.80% Moldovan
4.89121418 38.40% Ukrainian + 61.60% Montenegrin
6.14285589 65.20% Ukrainian + 34.80% Italian

Romanian:

Distance to: Dušan
4.57120796 62.80% Romanian + 37.20% Ukrainian
4.83707379 70.40% Romanian + 29.60% Russian
5.24002540 69.40% Romanian + 30.60% Polish
5.24319372 72.80% Romanian + 27.20% Belorussian
5.48876578 77.00% Romanian + 23.00% Estonian
6.22098943 58.40% Romanian + 41.60% Slovak
6.28746329 34.00% Romanian + 66.00% Croat
6.30322170 78.60% Romanian + 21.40% Finnish

[vbnetkhio]

I noticed that first population in source is referent.

I didn't intend it to be that way
I guess the code will need some more polishing.