Post Your nMonte Ancient Results

[Dibran]

Datasheet here: https://docs.google.com/spreadsheets/d/1BpxVWW8f59i3eiJBLDBdFs-5lSPNM4hOsA4gYhzT9Nw/edit#gid=886164390

Me:

23andme:

1. CLOSEST SINGLE ITEM DISTANCES"
I9006_Mycenean I9041_Mycean I9033_Mycenaean Bar31_Anatolia_N
15.43855 18.06611 19.22391 19.35491
Hungary_N_NE1_ Revenia5 Bar8_Anatolia_N Kleitos10
20.45903 20.70320 22.14468 23.83307

I9041_Mycean 32.60
I9006_Mycenean 16.20
Hungary_N_NE4 12.65
RISE568_Early_Czech_Slav_ 9.45
Hungary_BA_RISE371 8.95
I1670_Iran_Chalc 7.95
RISE1_OblaczkowoCWC_PL 3.90
I0406_Iberia_MN 2.75
I1274_Iberia_Chalcolithic 2.40
Germany_BZH12 1.30
Germany_Unetice_I0804 1.10
Sweden_Ajvide59_ 0.55
7700_Kotias_CHG 0.20


LivingDNA:

1. CLOSEST SINGLE ITEM DISTANCES"
I9006_Mycenean I9041_Mycean Bar31_Anatolia_N I9033_Mycenaean
16.64278 18.73626 19.80579 20.03767
Revenia5 Hungary_N_NE1_ Bar8_Anatolia_N I9010_Mycean
21.20290 21.41455 22.86042 24.17531


I9041_Mycean 47.55
I1670_Iran_Chalc 15.60
RISE568_Early_Czech_Slav_ 12.80
Hungary_N_CO1 6.20
I0406_Iberia_MN 4.80
RISE1_OblaczkowoCWC_PL 4.75
I9006_Mycenean 4.45
Hungary_N_NE7 2.10
I9033_Mycenaean 0.70
Kum4_Anatolia_EBA 0.55
Lithuania_RISE598 0.45
Sweden_Ajvide59_ 0.05


Father:

1. CLOSEST SINGLE ITEM DISTANCES"
I9006_Mycenean I9041_Mycean Bar31_Anatolia_N I9033_Mycenaean
14.39596 15.61380 19.34105 19.82480
Revenia5 Hungary_N_NE1_ Hungary_N_NE4 Bar8_Anatolia_N
21.06769 21.89055 22.44580 22.96865

I9041_Mycean 50.55
Hungary_N_NE4 19.60
Hungary_BA_RISE371 9.30
Lithuania_RISE598 5.40
I1658_ArmeniaEBA 4.40
RISE1_OblaczkowoCWC_PL 3.60
RISE568_Early_Czech_Slav_ 2.40
Jordan_EBA__I1705 1.70
Sweden_Ajvide59_ 1.30
I1409_Armenia_Chalcolithic 0.75
Hungary_BA_RISE374 0.45
I1634_Armenia_Chalcolithic_ 0.35
Kotias_CHG 0.20

[Dibran]

In case the link doesnt work here is the original link from anthro : http://www.anthrogenica.com/showthread.php?11663-K36-based-oracle-with-ancients

[Dibran]

Kelmandasi:


1. CLOSEST SINGLE ITEM DISTANCES"
Hungary_BA_BR2 Bar8_Anatolia_N I9006_Mycenean
20.72484 23.08925 23.14578
Bar31_Anatolia_N Hungary_BA_RISE483 Revenia5
23.48787 23.68703 24.23749
I9033_Mycenaean RISE397_Armenia_LBA_
24.35900 25.38012


I9006_Mycenean 40.10
Germany_Unetice_I0804 13.30
RISE568_Early_Czech_Slav_ 11.00
I9041_Mycean 6.95
RISE569__Early_Czech_Slav_ 6.75
Hungary_N_NE4 4.55
I1665_Iran_Chalc 3.60
Levant_N__AinGhazal5 3.60
3DRIF26_Gladiator_York 3.50
RISE1_OblaczkowoCWC_PL 3.30
Jordan_EBA__I1730 1.90
I1409_Armenia_Chalcolithic 0.75
Kudrukula2_MA974_LOWx_Estonia_CCC 0.50
I0411_Iberia_EN_I0410 0.20

[Dibran]

Dick:

1. CLOSEST SINGLE ITEM DISTANCES"
Hungary_BA_BR2 Hungary_BA_RISE479
18.91507 21.38149
6DRIF22_Gladiator_York RISE569__Early_Czech_Slav_
27.06091 27.09187
3DRIF16_Gladiator_York Hungary_IA_IR1
27.54367 27.96136
Kowalewko_45_ PL_N17_Early_BA
29.03659 29.19808

I9041_Mycean 29.45
Lithuania_RISE598 21.80
Sweden_Ajvide59_ 12.45
Hungary_BA_RISE371 11.10
RISE569__Early_Czech_Slav_ 10.70
I1631_ArmeniaChL 7.85
RISE546_Yamnaya_Kalmykia 4.15
Germany_Unetice_I0804 1.40
Hungary_BA_RISE374 0.90
Hungary_N_NE4 0.20

[Dick]

Dick:

Thanks, man. These ancient calcs are more interesting than modern calcs. What's even more interesting is that the Sweden_Ajvide59 belonged to Y haplogroup I-M170, ancestral to I1.

[Dibran]

Thanks, man. These ancient calcs are more interesting than modern calcs. What's even more interesting is that the Sweden_Ajvide59 belonged to Y haplogroup I-M170, ancestral to I1.

Yea. I wonder how I picked it up. Its higher for my father. its small though for both of us. The ancient calculators are definitely more interesting. It my not be accurate per se, but a decent indicator of DNA inherited from certain ancestral groups maybe.

[Coolguy1]

Are you using the R program for this?

[TEUTORIGOS]

Holy shit is R suppose to take forever calculating this ? I have R running it is taking a long time to calculate. Either that or its stuck in a loop or something or there is some bug.

[TEUTORIGOS]

Wow, nMonte scipt is slow as balls :


> getMonte('k36ancient.csv', 'testme.csv')
[1] "1. CLOSEST SINGLE ITEM DISTANCES"

Gladiator_York
11.67624
Hinxton2_Anglosaxon
12.16473
Hinxton5_Anglosaxon
13.13568
6DRIF3_Gladiator_York
13.16027
21_Gladiator_York_
13.89190
Germany_BA_I0047
13.95664
Scando_RISE94
14.57336

Scando_RISE174
15.63411


[1] "2. FULL TABLE nMONTE"

rom

Hinxton2_Anglosaxon 20.10
Hinxton5_Anglosaxon 11.30
Hungary_BA_RISE374 10.75
Germany_BZH12 9.65
Kow_26_ 8.25
Scando_RISE97 8.25
Kow_25 7.40
RISE567_Czech_Bell_Beaker 4.05
Hungary_BA_RISE371 3.95
Kowalewko_45_ 3.65
I1293_Iran_Mesolithic 3.30
Germany_EBA_I0115 2.55
Kowalewko_22_ 2.25
Sweden_Ire8 2.00
Hungary_BA_BR2 0.90
Kow_55 0.75
Ardu2_MA969_Estonia_CWC 0.40
Motala09_Sweden 0.30
Aborigine_Australia 0.20



[1] "3. RESTRICTED nMONTE"

rom

Hinxton2_Anglosaxon 19.05
Hinxton5_Anglosaxon 13.25
Hungary_BA_RISE374 10.70
Germany_BZH12 10.05
Kow_26_ 8.65
Kow_25 8.15
Scando_RISE97 6.50
Hungary_BA_RISE371 4.70
Kowalewko_45_ 4.45
RISE567_Czech_Bell_Beaker 3.85
I1293_Iran_Mesolithic 3.30
Germany_EBA_I0115 2.90
Kowalewko_22_ 2.45
Sweden_Ire8 2.00

[TEUTORIGOS]

*bump* I edited that to be better formatted and erased some extraneous crap. Just copying and pasting straight nMonte results, from R, is a mess.

[Dibran]

Are you using the R program for this?

Yea. If you're having trouble you can post your k36 and il run it when I get out of work.

[Lek]

Amerindian -
Arabian 2.81
Armenian 1.99
Basque 3.10
Central_African -
Central_Euro 4.11
East_African -
East_Asian -
East_Balkan 9.88
East_Central_Asian -
East_Central_Euro 6.61
East_Med 4.35
Eastern_Euro 3.31
Fennoscandian -
French 4.39
Iberian 7.89
Indo-Chinese -
Italian 21.36
Malayan -
Near_Eastern 5.07
North_African -
North_Atlantic 4.02
North_Caucasian 4.45
North_Sea 7.09
Northeast_African -
Oceanian -
Omotic -
Pygmy -
Siberian -
South_Asian -
South_Central_Asian -
South_Chinese -
Volga-Ural -
West_African -
West_Caucasian 3.57
West_Med 5.99

[firemonkey]

With the latest update

23andMe

1] "distance%=0.2394 / distance=0.002394"

firemonkey

Hinxton4_Celtic_/_Roman 22.25
6DRIF23_Gladiator_York 14.95
Wielbark_Kow_22_PL 10.60
Germany_BB__RISE560_ 9.25
6DRIF3_Gladiator_York 6.45
Scando_RISE97 5.90
RISE391_Sintashta 4.60
Germany_CWC_I0550 4.40
Wielbark_Kow_26_PL 4.00
RISE507_Afanasievo 2.45
I0441_Yamnaya_Samara 2.40
Wielbark_Kow_25_PL 2.05
Germany_Unetice_I0114 1.90
Hinxton3_Anglosaxon 1.15
_PT_BA_TorreVelha_3831 1.10
ATP9_Iberia_MBA 1.10
Hinxton2_Anglosaxon 1.00
Germany_Unetice_I0803 0.90
RISE109_Wojkowice_PL__Unetice_EBA_ 0.90
RISE524_Mezhovskaya_BA_ 0.45
RISE510_Afanasievo 0.40
Scando_RISE61 0.40
Hinxton1_Celt 0.30
Motala09_Sweden 0.25
I0444_Yamnaya_Samara 0.15
Sweden__Ajvide53_ 0.10
Germany_BB_I0806 0.10
_PT_LN_Monte_Canelas_1 0.10
I0407_Iberia_MN 0.10
I1277_Iberia_Chalcolithic 0.10
I0559_Germany_MN 0.10
I0358_Srubnaya 0.05

Restricted


[1] "distance%=0.2345 / distance=0.002345"

firemonkey

6DRIF23_Gladiator_York 21.80
Hinxton4_Celtic_/_Roman 15.70
Wielbark_Kow_22_PL 10.50
Scando_RISE97 9.40
Germany_BB__RISE560_ 7.85
6DRIF3_Gladiator_York 7.80
Germany_CWC_I0550 6.70
Wielbark_Kow_26_PL 4.45
RISE391_Sintashta 3.85
I0441_Yamnaya_Samara 2.85
RISE507_Afanasievo 2.70
Wielbark_Kow_25_PL 2.15
_PT_BA_TorreVelha_3831 1.40
ATP9_Iberia_MBA 1.40
Germany_Unetice_I0114 1.15
Hinxton3_Anglosaxon 0.30


Living dna

[1] "distance%=1.2191 / distance=0.012191"

firemonkey

Wielbark_Kow_22_PL 19.10
Hinxton4_Celtic_/_Roman 17.45
Hinxton1_Celt 13.00
6DRIF23_Gladiator_York 9.15
Germany_BZH12 6.70
I0441_Yamnaya_Samara 6.60
Wielbark_Mas_5_PL 5.70
Wielbark_Kow_26_PL 4.50
I0795_Germany_N 3.65
Germany_BB_I0113 2.70
ZevakinoChilikta_Kazachsta_Is2 2.50
I0559_Germany_MN 2.45
Germany_CWC_I0108 2.10
RISE139_Chociwell__PL__Unetice_ 1.45
Germany_BA_I0047 1.05
Scando_RISE61 0.90
Hinxton2_Anglosaxon 0.60
Levant_N__AinGhazal4 0.30
_PT_BA_TorreVelha_32032 0.10

Restricted
[1] "distance%=1.2166 / distance=0.012166"

firemonkey

Wielbark_Kow_22_PL 20.00
Hinxton4_Celtic_/_Roman 15.55
Hinxton1_Celt 11.65
6DRIF23_Gladiator_York 10.85
Germany_BZH12 6.90
Wielbark_Mas_5_PL 6.75
I0441_Yamnaya_Samara 6.60
I0795_Germany_N 4.65
Wielbark_Kow_26_PL 4.25
Germany_BA_I0047 3.20
ZevakinoChilikta_Kazachsta_Is2 2.65
Germany_BB_I0113 2.55
I0559_Germany_MN 2.25
Germany_CWC_I0108 1.35
RISE139_Chociwell__PL__Unetice_ 0.80



Father

[1] "distance%=0.6053 / distance=0.006053"

dad

Wielbark_Kow_22_PL 20.65
RISE507_Afanasievo 13.30
Germany_BB__RISE560_ 9.50
Scando_RISE71 7.85
Wielbark_Mas_5_PL 7.20
Scando_RISE97 6.95
Germany_BB_I0113 5.85
Germany_CWC_I0108 5.80
RISE391_Sintashta 5.40
PT_BA_ERR1524174 5.20
Wielbark_Kow_26_PL 5.05
RISE510_Afanasievo 2.10
I1277_Iberia_Chalcolithic 2.05
_PT_LN_Monte_Canelas_1 1.25
Wielbark_Kow_25_PL 1.15
Germany_CWC_I0550 0.15
RISE154_Szczepankowice___Unetice_EBA_ 0.15
Hinxton3_Anglosaxon 0.15
I1303_Iberia_Chalcolithic 0.15
6DRIF3_Gladiator_York 0.10


[1] "distance%=0.5741 / distance=0.005741"

dad

Wielbark_Kow_22_PL 22.70
RISE507_Afanasievo 17.00
Germany_BB__RISE560_ 12.55
Wielbark_Mas_5_PL 9.25
Scando_RISE71 7.05
PT_BA_ERR1524174 6.50
Germany_CWC_I0108 5.15
Wielbark_Kow_26_PL 4.70
Germany_BB_I0113 3.95
I1277_Iberia_Chalcolithic 3.60
Scando_RISE97 3.50
RISE391_Sintashta 2.65
Wielbark_Kow_25_PL 1.40

[Lek]

With the latest update

23andMe

1] "distance%=0.2394 / distance=0.002394"

firemonkey

Hinxton4_Celtic_/_Roman 22.25
6DRIF23_Gladiator_York 14.95
Wielbark_Kow_22_PL 10.60
Germany_BB__RISE560_ 9.25
6DRIF3_Gladiator_York 6.45
Scando_RISE97 5.90
RISE391_Sintashta 4.60
Germany_CWC_I0550 4.40
Wielbark_Kow_26_PL 4.00
RISE507_Afanasievo 2.45
I0441_Yamnaya_Samara 2.40
Wielbark_Kow_25_PL 2.05
Germany_Unetice_I0114 1.90
Hinxton3_Anglosaxon 1.15
_PT_BA_TorreVelha_3831 1.10
ATP9_Iberia_MBA 1.10
Hinxton2_Anglosaxon 1.00
Germany_Unetice_I0803 0.90
RISE109_Wojkowice_PL__Unetice_EBA_ 0.90
RISE524_Mezhovskaya_BA_ 0.45
RISE510_Afanasievo 0.40
Scando_RISE61 0.40
Hinxton1_Celt 0.30
Motala09_Sweden 0.25
I0444_Yamnaya_Samara 0.15
Sweden__Ajvide53_ 0.10
Germany_BB_I0806 0.10
_PT_LN_Monte_Canelas_1 0.10
I0407_Iberia_MN 0.10
I1277_Iberia_Chalcolithic 0.10
I0559_Germany_MN 0.10
I0358_Srubnaya 0.05

Restricted


[1] "distance%=0.2345 / distance=0.002345"

firemonkey

6DRIF23_Gladiator_York 21.80
Hinxton4_Celtic_/_Roman 15.70
Wielbark_Kow_22_PL 10.50
Scando_RISE97 9.40
Germany_BB__RISE560_ 7.85
6DRIF3_Gladiator_York 7.80
Germany_CWC_I0550 6.70
Wielbark_Kow_26_PL 4.45
RISE391_Sintashta 3.85
I0441_Yamnaya_Samara 2.85
RISE507_Afanasievo 2.70
Wielbark_Kow_25_PL 2.15
_PT_BA_TorreVelha_3831 1.40
ATP9_Iberia_MBA 1.40
Germany_Unetice_I0114 1.15
Hinxton3_Anglosaxon 0.30


Living dna

[1] "distance%=1.2191 / distance=0.012191"

firemonkey

Wielbark_Kow_22_PL 19.10
Hinxton4_Celtic_/_Roman 17.45
Hinxton1_Celt 13.00
6DRIF23_Gladiator_York 9.15
Germany_BZH12 6.70
I0441_Yamnaya_Samara 6.60
Wielbark_Mas_5_PL 5.70
Wielbark_Kow_26_PL 4.50
I0795_Germany_N 3.65
Germany_BB_I0113 2.70
ZevakinoChilikta_Kazachsta_Is2 2.50
I0559_Germany_MN 2.45
Germany_CWC_I0108 2.10
RISE139_Chociwell__PL__Unetice_ 1.45
Germany_BA_I0047 1.05
Scando_RISE61 0.90
Hinxton2_Anglosaxon 0.60
Levant_N__AinGhazal4 0.30
_PT_BA_TorreVelha_32032 0.10

Restricted
[1] "distance%=1.2166 / distance=0.012166"

firemonkey

Wielbark_Kow_22_PL 20.00
Hinxton4_Celtic_/_Roman 15.55
Hinxton1_Celt 11.65
6DRIF23_Gladiator_York 10.85
Germany_BZH12 6.90
Wielbark_Mas_5_PL 6.75
I0441_Yamnaya_Samara 6.60
I0795_Germany_N 4.65
Wielbark_Kow_26_PL 4.25
Germany_BA_I0047 3.20
ZevakinoChilikta_Kazachsta_Is2 2.65
Germany_BB_I0113 2.55
I0559_Germany_MN 2.25
Germany_CWC_I0108 1.35
RISE139_Chociwell__PL__Unetice_ 0.80



Father

[1] "distance%=0.6053 / distance=0.006053"

dad

Wielbark_Kow_22_PL 20.65
RISE507_Afanasievo 13.30
Germany_BB__RISE560_ 9.50
Scando_RISE71 7.85
Wielbark_Mas_5_PL 7.20
Scando_RISE97 6.95
Germany_BB_I0113 5.85
Germany_CWC_I0108 5.80
RISE391_Sintashta 5.40
PT_BA_ERR1524174 5.20
Wielbark_Kow_26_PL 5.05
RISE510_Afanasievo 2.10
I1277_Iberia_Chalcolithic 2.05
_PT_LN_Monte_Canelas_1 1.25
Wielbark_Kow_25_PL 1.15
Germany_CWC_I0550 0.15
RISE154_Szczepankowice___Unetice_EBA_ 0.15
Hinxton3_Anglosaxon 0.15
I1303_Iberia_Chalcolithic 0.15
6DRIF3_Gladiator_York 0.10


[1] "distance%=0.5741 / distance=0.005741"

dad

Wielbark_Kow_22_PL 22.70
RISE507_Afanasievo 17.00
Germany_BB__RISE560_ 12.55
Wielbark_Mas_5_PL 9.25
Scando_RISE71 7.05
PT_BA_ERR1524174 6.50
Germany_CWC_I0108 5.15
Wielbark_Kow_26_PL 4.70
Germany_BB_I0113 3.95
I1277_Iberia_Chalcolithic 3.60
Scando_RISE97 3.50
RISE391_Sintashta 2.65
Wielbark_Kow_25_PL 1.40

Can you do it for me? I posted my k36 above.

[de Burgh II]

Didn't expect this much Celtic via Hinxton 4:
de_Burgh

Hinxton4_Celtic_/_Roman 45.10
Scando_RISE97 14.75
Wielbark_Kow_25_PL 12.30
Hungary_BA_RISE373 9.60
Hungary_BA_RISE374 8.10
Germany_BZH12 6.55
RISE1_OblaczkowoCWC_PL 1.40
RISE567_Czech_Bell_Beaker 1.10
Germany_MBA__RISE47 1.00
Wielbark_Kow_26_PL 0.10

[Dibran]

Can you do it for me? I posted my k36 above.

I can run it for you as soon as I get home from work.

[Dibran]

Amerindian -
Arabian 2.81
Armenian 1.99
Basque 3.10
Central_African -
Central_Euro 4.11
East_African -
East_Asian -
East_Balkan 9.88
East_Central_Asian -
East_Central_Euro 6.61
East_Med 4.35
Eastern_Euro 3.31
Fennoscandian -
French 4.39
Iberian 7.89
Indo-Chinese -
Italian 21.36
Malayan -
Near_Eastern 5.07
North_African -
North_Atlantic 4.02
North_Caucasian 4.45
North_Sea 7.09
Northeast_African -
Oceanian -
Omotic -
Pygmy -
Siberian -
South_Asian -
South_Central_Asian -
South_Chinese -
Volga-Ural -
West_African -
West_Caucasian 3.57
West_Med 5.99

Here you go. In case you're curious, those swedish samples are neolithic.

CLOSEST SINGLE ITEM DISTANCES"
Hungary_BA_BR2 RISE397_Armenia_LBA_ I1409_Armenia_Chalcolithic Hungary_BA_RISE373 I1632_Armenia_Chalcolithic Hungary_BA_RISE480 I9006_Mycenean 6DRIF22_Gladiator_York
16.73298 21.92342 24.03235 24.47420 24.88926 25.64365 25.79303 25.96571

"distance%=3.5612 / distance=0.035612"
I1409_Armenia_Chalcolithic 24.95
Sweden_N_Gokhem5 18.75
RISE569__Early_Czech_Slav_ 15.80
Hungary_BA_RISE371 9.45
I9041_Mycean 8.35
Jordan_EBA__I1705 7.20
I0048_Germany_N 6.40
RISE1_OblaczkowoCWC_PL 2.25
RISE568_Early_Czech_Slav_ 2.05
Sweden_Ajvide59_ 1.60
I0411_Iberia_EN_I0410 1.05
I0807_Germany_MN 0.85
Hungary_N_NE4 0.50
Sweden_N_Gökhem7 0.50
Lithuania_RISE598 0.30

[MysteriousWays]

Can you run mine please? Thanks much.


Population
Amerindian -
Arabian 5.02
Armenian 7.41
Basque 1.31
Central_African -
Central_Euro 1.32
East_African -
East_Asian -
East_Balkan 0.17
East_Central_Asian -
East_Central_Euro 3.28
East_Med 18.09
Eastern_Euro -
Fennoscandian -
French 4.88
Iberian 9.89
Indo-Chinese 0.81
Italian 12.68
Malayan -
Near_Eastern 16.78
North_African 2.32
North_Atlantic 1.93
North_Caucasian 2.90
North_Sea 2.50
Northeast_African 1.00
Oceanian -
Omotic -
Pygmy -
Siberian -
South_Asian -
South_Central_Asian 0.16
South_Chinese -
Volga-Ural 1.15
West_African -
West_Caucasian 4.11
West_Med 2.32

[Lek]

Here you go. In case you're curious, those swedish samples are neolithic.

CLOSEST SINGLE ITEM DISTANCES"
Hungary_BA_BR2 RISE397_Armenia_LBA_ I1409_Armenia_Chalcolithic Hungary_BA_RISE373 I1632_Armenia_Chalcolithic Hungary_BA_RISE480 I9006_Mycenean 6DRIF22_Gladiator_York
16.73298 21.92342 24.03235 24.47420 24.88926 25.64365 25.79303 25.96571

"distance%=3.5612 / distance=0.035612"
I1409_Armenia_Chalcolithic 24.95
Sweden_N_Gokhem5 18.75
RISE569__Early_Czech_Slav_ 15.80
Hungary_BA_RISE371 9.45
I9041_Mycean 8.35
Jordan_EBA__I1705 7.20
I0048_Germany_N 6.40
RISE1_OblaczkowoCWC_PL 2.25
RISE568_Early_Czech_Slav_ 2.05
Sweden_Ajvide59_ 1.60
I0411_Iberia_EN_I0410 1.05
I0807_Germany_MN 0.85
Hungary_N_NE4 0.50
Sweden_N_Gökhem7 0.50
Lithuania_RISE598 0.30

Thanks , heres when deburgh II did it for me

Unrestricted:
Ali_Pasha

I1409_Armenia_Chalcolithic 24.95
Sweden_N_Gokhem5 19.00
RISE569__Early_Czech_Slav_ 15.65
Hungary_BA_RISE371 9.35
I9041_Mycean 8.45
Jordan_EBA__I1705 7.20
I0048_Germany_N 6.30
RISE1_OblaczkowoCWC_PL 2.20
RISE568_Early_Czech_Slav_ 2.15
Sweden_Ajvide59_ 1.55
I0411_Iberia_EN_I0410 1.10
I0807_Germany_MN 0.90
Sweden_N_Gökhem7 0.40
Hungary_N_NE4 0.30
Hungary_BA_RISE479 0.30
Lithuania_RISE598 0.20

Restricted:
Ali_Pasha

I1409_Armenia_Chalcolithic 24.90
Sweden_N_Gokhem5 19.05
RISE569__Early_Czech_Slav_ 15.75
Hungary_BA_RISE371 9.65
I9041_Mycean 8.70
Jordan_EBA__I1705 7.10
I0048_Germany_N 7.05
RISE568_Early_Czech_Slav_ 2.30
RISE1_OblaczkowoCWC_PL 2.30
Sweden_Ajvide59_ 1.60
I0411_Iberia_EN_I0410 1.60


First look different to me.

[Dibran]

Thanks , heres when deburgh II did it for me

Unrestricted:
Ali_Pasha

I1409_Armenia_Chalcolithic 24.95
Sweden_N_Gokhem5 19.00
RISE569__Early_Czech_Slav_ 15.65
Hungary_BA_RISE371 9.35
I9041_Mycean 8.45
Jordan_EBA__I1705 7.20
I0048_Germany_N 6.30
RISE1_OblaczkowoCWC_PL 2.20
RISE568_Early_Czech_Slav_ 2.15
Sweden_Ajvide59_ 1.55
I0411_Iberia_EN_I0410 1.10
I0807_Germany_MN 0.90
Sweden_N_Gökhem7 0.40
Hungary_N_NE4 0.30
Hungary_BA_RISE479 0.30
Lithuania_RISE598 0.20

Restricted:
Ali_Pasha

I1409_Armenia_Chalcolithic 24.90
Sweden_N_Gokhem5 19.05
RISE569__Early_Czech_Slav_ 15.75
Hungary_BA_RISE371 9.65
I9041_Mycean 8.70
Jordan_EBA__I1705 7.10
I0048_Germany_N 7.05
RISE568_Early_Czech_Slav_ 2.30
RISE1_OblaczkowoCWC_PL 2.30
Sweden_Ajvide59_ 1.60
I0411_Iberia_EN_I0410 1.60


First look different to me.

Your first one is not significantly different from mine give or take minimal increase/decrease of components. I am using the datasheet from anthro with added neolithic swedish samples. Some people tweek and remove/add populations to get different mixtures to devise the closest distances. Idk how to tweek all that stuff. I am also curious how people run restricted mode. My runs produce only unrestricted results.

[Lek]

Your first one is not significantly different from mine give or take minimal increase/decrease of components. I am using the datasheet from anthro with added neolithic swedish samples. Some people tweek and remove/add populations to get different mixtures to devise the closest distances. Idk how to tweek all that stuff. I am also curious how people run restricted mode. My runs produce only unrestricted results.

Yeah, well, basically it matches your dna or scores to the populations they got in their database so one will get different results based on whats added.

[MysteriousWays]

I have results from both Dibran and Litvin for me. Thank you both for doing this!

Dibran:

CLOSEST SINGLE ITEM DISTANCES"
I1632_Armenia_Chalcolithic Tepe002_Anatolia_EN I1407_Armenia_Chalcolithic_ RISE397_Armenia_LBA_ I1584_AnatolianChL 3DRIF26_Gladiator_York Levant_N__AinGhazal1 Egyptian_mumy_I_JK2888_
22.28548 22.47158 24.38465 25.10239 25.65620 26.60273 26.78240 26.80622

"distance%=5.0564 / distance=0.050564"

3DRIF26_Gladiator_York 31.80
I9041_Mycean 19.30
I1665_Iran_Chalc 15.90
RISE1_OblaczkowoCWC_PL 5.65
I1634_Armenia_Chalcolithic_ 5.30
Germany_BB_I0806 5.20
6DRIF23_Gladiator_York 4.75
I0048_Germany_N 4.55
Levant_N__AinGhazal5 3.80
RISE396_Armenia_LBA_ 1.20
Germany_CWC_I0111 1.05
I1409_Armenia_Chalcolithic 0.80
Hungary_BA_RISE374 0.70

Litvin:

[1] "1. CLOSEST SINGLE ITEM DISTANCES"
EN_Anatolia_Tep2 LBA_Armenia_RISE397 CA_MarmaraSea_I1584
22.47158 25.10239 25.65620
IA_LevantEgypt_3DRIF26 N_Levant_AinGhazal1 IA_Egypt_JK2888
26.60273 26.78240 26.80622
IA_LevantEgypt_3DRIF26b IA_Iran_F38
27.01940 27.16092

Mixed mode, normal:

[1] "distance%=4.9708 / distance=0.049708"

IA_LevantEgypt_3DRIF26b 32.85
BA_Mycenaean_I9041 20.85
CA_Iran_I1665b 14.55
BB_Germany_I0806 8.45
LBA_Armenia_RISE396 3.80
LBA_Armenia_RISE397 3.55
IA_GaulishCelt_6DRIF22 3.05
N_Levant_AinGhazal5 2.85
IA_CelticBriton_HI4 2.30
MN_Germany_I0559 2.10
BA_CreteArmenoi_I9123 1.80
LBA_Armenia_RISE412 1.50
BA_Potapovka_I0246 1.40
N_Germany_I0795 0.70
MBA_Germany_RISE471 0.25

Mixed mode, restricted:

IA_LevantEgypt_3DRIF26b 32.65
BA_Mycenaean_I9041 20.75
CA_Iran_I1665b 14.60
BB_Germany_I0806 8.70
LBA_Armenia_RISE396 4.05
IA_GaulishCelt_6DRIF22 3.25
N_Levant_AinGhazal5 3.25
MN_Germany_I0559 2.90
LBA_Armenia_RISE397 2.80
IA_CelticBriton_HI4 2.20
LBA_Armenia_RISE412 1.95
BA_CreteArmenoi_I9123 1.55
BA_Potapovka_I0246 1.35

[Dibran]

Yeah, well, basically it matches your dna or scores to the populations they got in their database so one will get different results based on whats added.

Yea. I did that Davidski K7/K10 with eurogenes blog. and using the same ancient samples, adding and removing, these were my results conducted by one of the users on anthro:



"1. CLOSEST SINGLE ITEM DISTANCES"
Boncuklu_N:Bon005 Boncuklu_N:Bon002 Kumtepe_LN:kum6 Boncuklu_N:Bon004 Hungary_N:I1499 Hungary_N:I1495 Boncuklu_N:Bon001 Hungary_N:I1498
0.02841584 0.03058349 0.03103804 0.03180393 0.03275057 0.03370771 0.03375070 0.03376507

For a model, this is what I got (I may be missing something, I never really got PC1 to resolve very well). Note that I included some modern out groups and it looks like it needed Dai to handle some small amount of East Asian:

[1] "3. RESTRICTED nMONTE"
[1] "Ncycles= 1000"
PC1 PC2 PC3 PC4 PC5 PC6 PC7 PC8 PC9 PC10
Dibran 0.0190000 0.02930000 0.00070000 -0.0035000 0.00130000 0.02350000 0.0064000 -0.0026000 0.0038000 0.0045000
fitted 0.0167073 0.02935905 0.00117695 -0.0034007 -0.00041455 0.02382965 0.0062621 -0.0011221 0.0043465 0.0037472
dif -0.0022927 0.00005905 0.00047695 0.0000993 -0.00171455 0.00032965 -0.0001379 0.0014779 0.0005465 -0.0007528
[1] "distance%=0.3408 / distance=0.003408"

Barcin_N:I1096 60.30
Kotias:KK1 14.35
Latvia_HG:ZVEJ32 12.65
Yamnaya_Samara:I0443 11.75
Dai 0.95

For moderns, I tried first listing all of the populations close by Albania (and you were closest to the Albanian entry for a single item). I got this model:

[1] "3. RESTRICTED nMONTE"
[1] "Ncycles= 1000"
PC1 PC2 PC3 PC4 PC5 PC6 PC7 PC8 PC9 PC10
Dibran 0.01900000 0.02930000 0.00070000 -0.00350000 0.00130000 0.02350000 0.00640000 -0.00260000 0.00380000 0.00450000
fitted 0.01732012 0.02900852 -0.00028585 -0.00319955 -0.00030739 0.02289535 0.00579282 -0.00219376 0.00232092 0.00147841
dif -0.00167988 -0.00029148 -0.00098585 0.00030045 -0.00160739 -0.00060465 -0.00060718 0.00040624 -0.00147908 -0.00302159
[1] "distance%=0.4332 / distance=0.004332"

Greek 41.4
Albanian 32.5
Sardinian 15.3
Bulgarian 10.7

The Greek and Albanian were closely correlated, so I removed Greek since you are closest to the Albanian single population. I got this:

[1] "3. RESTRICTED nMONTE"
[1] "Ncycles= 1000"
PC1 PC2 PC3 PC4 PC5 PC6 PC7 PC8 PC9 PC10
Dibran 0.019000000 0.029300000 0.00070000 -0.00350000 0.0013000000 0.0235000000 0.0064000000 -0.0026000000 0.003800000 0.00450000
fitted 0.017125723 0.028710735 -0.00032824 -0.00314091 -0.0001085575 0.0225659675 0.0061532775 -0.0023644325 0.001616708 0.00180257
dif -0.001874277 -0.000589265 -0.00102824 0.00035909 -0.0014085575 -0.0009340325 -0.0002467225 0.0002355675 -0.002183292 -0.00269743
[1] "distance%=0.4479 / distance=0.004479"

Albanian 82.2
Sardinian 15.3
Turkish_Trabzon 2.5

Lastly, I tried to get something that would resolve the first three PCs better, since they are the most important. I added some more populations a little further away and got this model:

[1] "3. RESTRICTED nMONTE"
[1] "Ncycles= 1000"
PC1 PC2 PC3 PC4 PC5 PC6 PC7 PC8 PC9 PC10
Dibran 0.0190000 0.02930000 0.00070000 -0.00350000 0.00130000 0.02350000 0.00640000 -0.0026000 0.00380000 0.00450000
fitted 0.0175225 0.02877513 0.00053079 -0.00265748 -0.00016639 0.02315712 0.00704663 -0.0021405 0.00321442 0.00265433
dif -0.0014775 -0.00052487 -0.00016921 0.00084252 -0.00146639 -0.00034288 0.00064663 0.0004595 -0.00058558 -0.00184567
[1] "distance%=0.3137 / distance=0.003137"

Basque_Spanish 41.3
Sardinian 29.6
Abkhasian 29.1

The last two models, I think, are just taking advantage of those populations listed to build your variation from the Albanian model, which you match the best all by itself. Here are the single item best matches with distances:

[1] "1. CLOSEST SINGLE ITEM DISTANCES"
Albanian Italian_Tuscan Greek Italian_Bergamo Italian_WestSicilian Romanian Bulgarian
0.006783863 0.006934840 0.008097049 0.010080932 0.015795860 0.017669944 0.017778301
Italian_EastSicilian
0.018552933



Here is your result with the entire spreadsheet:

[1] "3. RESTRICTED nMONTE"
[1] "Ncycles= 1000"
PC1 PC2 PC3 PC4 PC5 PC6 PC7 PC8 PC9 PC10
Dibran 0.01900000 0.02930000 0.00070000 -0.00350000 0.00130000 0.02350000 0.00640000 -0.0026000 0.0038000 0.00450000
fitted 0.01830682 0.02924118 0.00038463 -0.00343965 0.00104816 0.02344919 0.00641459 -0.0024566 0.0036719 0.00438227
dif -0.00069318 -0.00005882 -0.00031537 0.00006035 -0.00025184 -0.00005081 0.00001459 0.0001434 -0.0001281 -0.00011773
[1] "distance%=0.0839 / distance=0.000839"

Portugal_BA:TV32032extra 21.80
Abkhasian 19.65
LBK_EN:I0054 19.00
Srubnaya:I0431 11.80
Portugal_BA:TV3831 9.75
Minoan_Lasithi:I0074 7.40
Bell_Beaker_Germany:I0806 6.40
Minoan_Odigitria:I9128 3.90
Slav_Czech:RISE568 0.30

It is a nice and close match, but it mixes up modern and ancient populations in a way that I am not sure is helpful for interpretation. I usually do it anyway just to see what pops up for the later, more detailed runs.""


Here is one variation Sorcelow ran for me.

1] "distance%=0.2986 / distance=0.002986"

Heres a really good fit, around 60% Mycenaean and 40% steppe/northern European

Dibran

Mycenaean:I9010 41.8
Bell_Beaker_Germany:I0806 27.2
Mycenaean:I9041 16.1
Bell_Beaker_Germany:I0108 12.2
Mycenaean:I9006 2.7

[Ion Basescul]

I used only Bronze Age and Iron Age references, apart from the last two runs where I've included the Early Medieval Slavic (RISE568) sample from nowadays Czechia. The nMonte is based on Davidski's Global 10. K36 is not as strong for this task IMO.

1) Ancients (average) Europe + Asia wide (Bronze Age, Iron Age)

"distance%=0.2591 / distance=0.002591"

Hungary_BA 42.30
England_IA 20.40
Minoan_Lasithi 15.50
Scythian_Pazyryk 7.60
Halberstadt_LBA 6.30
Yamnaya_Kalmykia 4.45
Satsurblia 2.95
Hungary_IA 0.50

2) Ancients (average) Central + Southeastern + Eastern Europe + Asia (Bronze Age, Iron Age)

"distance%=0.2661 / distance=0.002661"

Hungary_BA 51.80
Minoan_Lasithi 16.65
Halberstadt_LBA 13.40
Yamnaya_Kalmykia 7.90
Scythian_Pazyryk 7.65
Satsurblia 2.60

3) Ancients (average) Europe + Asia wide (Bronze Age, Iron Age) + Slav_Czech Early Medieval
distance%=0.1676 / distance=0.001676"

Slav_Czech 29.05
Hungary_BA 23.60
Minoan_Lasithi 22.45
Halberstadt_LBA 9.65
Yamnaya_Samara 8.00
Scythian_Pazyryk 7.25

4) Ancients (average) Central + Southeastern + Eastern Europe + Asia (Bronze Age, Iron Age) + Slav_Czech Early Medieval

"distance%=0.1676 / distance=0.001676"

Slav_Czech 28.95
Hungary_BA 23.75
Minoan_Lasithi 22.45
Halberstadt_LBA 9.55
Yamnaya_Samara 8.05
Scythian_Pazyryk 7.25

[Dick]

Yeah, well, basically it matches your dna or scores to the populations they got in their database so one will get different results based on whats added.
I'm not sure what you mean. This nmonte uses k36 score not your whole raw data.

[Lek]

I'm not sure what you mean. This nmonte uses k36 score not your whole raw data.

Yeah, notice how I said 'or scores' which makes it even less inaccurate imo rather than if it was your actual DNA.